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cc1b9e8054871763a59713c2050d3a020700b2a2
hermes-agent/tools/skills_hub.py
Teknium 614e43d3d9 feat(skills): add garrytan/gstack as default Skills Hub tap (#3605) 
Add the gstack community skills repo to the default tap list and fix
skill_identifier construction for repos with an empty path prefix.

Co-authored-by: Tugrul Guner <tugrulguner@users.noreply.github.com>
2026-03-28 14:55:49 -07:00

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#!/usr/bin/env python3
"""
Skills Hub — Source adapters and hub state management for the Hermes Skills Hub.
This is a library module (not an agent tool). It provides:
- GitHubAuth: Shared GitHub API authentication (PAT, gh CLI, GitHub App)
- SkillSource ABC: Interface for all skill registry adapters
- OptionalSkillSource: Official optional skills shipped with the repo (not activated by default)
- GitHubSource: Fetch skills from any GitHub repo via the Contents API
- HubLockFile: Track provenance of installed hub skills
- Hub state directory management (quarantine, audit log, taps, index cache)
Used by hermes_cli/skills_hub.py for CLI commands and the /skills slash command.
"""
import hashlib
import json
import logging
import os
import re
import shutil
import subprocess
import time
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Any, Dict, List, Optional, Tuple, Union
from urllib.parse import urlparse, urlunparse
import httpx
import yaml
from tools.skills_guard import (
ScanResult, content_hash, TRUSTED_REPOS,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Paths
# ---------------------------------------------------------------------------
HERMES_HOME = get_hermes_home()
SKILLS_DIR = HERMES_HOME / "skills"
HUB_DIR = SKILLS_DIR / ".hub"
LOCK_FILE = HUB_DIR / "lock.json"
QUARANTINE_DIR = HUB_DIR / "quarantine"
AUDIT_LOG = HUB_DIR / "audit.log"
TAPS_FILE = HUB_DIR / "taps.json"
INDEX_CACHE_DIR = HUB_DIR / "index-cache"
# Cache duration for remote index fetches
INDEX_CACHE_TTL = 3600 # 1 hour
# ---------------------------------------------------------------------------
# Data models
# ---------------------------------------------------------------------------
@dataclass
class SkillMeta:
"""Minimal metadata returned by search results."""
name: str
description: str
source: str # "official", "github", "clawhub", "claude-marketplace", "lobehub"
identifier: str # source-specific ID (e.g. "openai/skills/skill-creator")
trust_level: str # "builtin" | "trusted" | "community"
repo: Optional[str] = None
path: Optional[str] = None
tags: List[str] = field(default_factory=list)
extra: Dict[str, Any] = field(default_factory=dict)
@dataclass
class SkillBundle:
"""A downloaded skill ready for quarantine/scanning/installation."""
name: str
files: Dict[str, Union[str, bytes]] # relative_path -> file content
source: str
identifier: str
trust_level: str
metadata: Dict[str, Any] = field(default_factory=dict)
# ---------------------------------------------------------------------------
# GitHub Authentication
# ---------------------------------------------------------------------------
class GitHubAuth:
"""
GitHub API authentication. Tries methods in priority order:
1. GITHUB_TOKEN / GH_TOKEN env var (PAT — the default)
2. `gh auth token` subprocess (if gh CLI is installed)
3. GitHub App JWT + installation token (if app credentials configured)
4. Unauthenticated (60 req/hr, public repos only)
"""
def __init__(self):
self._cached_token: Optional[str] = None
self._cached_method: Optional[str] = None
self._app_token_expiry: float = 0
def get_headers(self) -> Dict[str, str]:
"""Return authorization headers for GitHub API requests."""
token = self._resolve_token()
headers = {"Accept": "application/vnd.github.v3+json"}
if token:
headers["Authorization"] = f"token {token}"
return headers
def is_authenticated(self) -> bool:
return self._resolve_token() is not None
def auth_method(self) -> str:
"""Return which auth method is active: 'pat', 'gh-cli', 'github-app', or 'anonymous'."""
self._resolve_token()
return self._cached_method or "anonymous"
def _resolve_token(self) -> Optional[str]:
# Return cached token if still valid
if self._cached_token:
if self._cached_method != "github-app" or time.time() < self._app_token_expiry:
return self._cached_token
# 1. Environment variable
token = os.environ.get("GITHUB_TOKEN") or os.environ.get("GH_TOKEN")
if token:
self._cached_token = token
self._cached_method = "pat"
return token
# 2. gh CLI
token = self._try_gh_cli()
if token:
self._cached_token = token
self._cached_method = "gh-cli"
return token
# 3. GitHub App
token = self._try_github_app()
if token:
self._cached_token = token
self._cached_method = "github-app"
self._app_token_expiry = time.time() + 3500 # ~58 min (tokens last 1 hour)
return token
self._cached_method = "anonymous"
return None
def _try_gh_cli(self) -> Optional[str]:
"""Try to get a token from the gh CLI."""
try:
result = subprocess.run(
["gh", "auth", "token"],
capture_output=True, text=True, timeout=5,
)
if result.returncode == 0 and result.stdout.strip():
return result.stdout.strip()
except (FileNotFoundError, subprocess.TimeoutExpired) as e:
logger.debug("gh CLI token lookup failed: %s", e)
return None
def _try_github_app(self) -> Optional[str]:
"""Try GitHub App JWT authentication if credentials are configured."""
app_id = os.environ.get("GITHUB_APP_ID")
key_path = os.environ.get("GITHUB_APP_PRIVATE_KEY_PATH")
installation_id = os.environ.get("GITHUB_APP_INSTALLATION_ID")
if not all([app_id, key_path, installation_id]):
return None
try:
import jwt # PyJWT
except ImportError:
logger.debug("PyJWT not installed, skipping GitHub App auth")
return None
try:
key_file = Path(key_path)
if not key_file.exists():
return None
private_key = key_file.read_text()
now = int(time.time())
payload = {
"iat": now - 60,
"exp": now + (10 * 60),
"iss": app_id,
}
encoded_jwt = jwt.encode(payload, private_key, algorithm="RS256")
resp = httpx.post(
f"https://api.github.com/app/installations/{installation_id}/access_tokens",
headers={
"Authorization": f"Bearer {encoded_jwt}",
"Accept": "application/vnd.github.v3+json",
},
timeout=10,
)
if resp.status_code == 201:
return resp.json().get("token")
except Exception as e:
logger.debug(f"GitHub App auth failed: {e}")
return None
# ---------------------------------------------------------------------------
# Source adapter interface
# ---------------------------------------------------------------------------
class SkillSource(ABC):
"""Abstract base for all skill registry adapters."""
@abstractmethod
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
"""Search for skills matching a query string."""
...
@abstractmethod
def fetch(self, identifier: str) -> Optional[SkillBundle]:
"""Download a skill bundle by identifier."""
...
@abstractmethod
def inspect(self, identifier: str) -> Optional[SkillMeta]:
"""Fetch metadata for a skill without downloading all files."""
...
@abstractmethod
def source_id(self) -> str:
"""Unique identifier for this source (e.g. 'github', 'clawhub')."""
...
def trust_level_for(self, identifier: str) -> str:
"""Determine trust level for a skill from this source."""
return "community"
# ---------------------------------------------------------------------------
# GitHub source adapter
# ---------------------------------------------------------------------------
class GitHubSource(SkillSource):
"""Fetch skills from GitHub repos via the Contents API."""
DEFAULT_TAPS = [
{"repo": "openai/skills", "path": "skills/"},
{"repo": "anthropics/skills", "path": "skills/"},
{"repo": "VoltAgent/awesome-agent-skills", "path": "skills/"},
{"repo": "garrytan/gstack", "path": ""},
]
def __init__(self, auth: GitHubAuth, extra_taps: Optional[List[Dict]] = None):
self.auth = auth
self.taps = list(self.DEFAULT_TAPS)
if extra_taps:
self.taps.extend(extra_taps)
def source_id(self) -> str:
return "github"
def trust_level_for(self, identifier: str) -> str:
# identifier format: "owner/repo/path/to/skill"
parts = identifier.split("/", 2)
if len(parts) >= 2:
repo = f"{parts[0]}/{parts[1]}"
if repo in TRUSTED_REPOS:
return "trusted"
return "community"
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
"""Search all taps for skills matching the query."""
results: List[SkillMeta] = []
query_lower = query.lower()
for tap in self.taps:
try:
skills = self._list_skills_in_repo(tap["repo"], tap.get("path", ""))
for skill in skills:
searchable = f"{skill.name} {skill.description} {' '.join(skill.tags)}".lower()
if query_lower in searchable:
results.append(skill)
except Exception as e:
logger.debug(f"Failed to search {tap['repo']}: {e}")
continue
# Deduplicate by name, preferring higher trust levels
_trust_rank = {"builtin": 2, "trusted": 1, "community": 0}
seen = {}
for r in results:
if r.name not in seen:
seen[r.name] = r
elif _trust_rank.get(r.trust_level, 0) > _trust_rank.get(seen[r.name].trust_level, 0):
seen[r.name] = r
results = list(seen.values())
return results[:limit]
def fetch(self, identifier: str) -> Optional[SkillBundle]:
"""
Download a skill from GitHub.
identifier format: "owner/repo/path/to/skill-dir"
"""
parts = identifier.split("/", 2)
if len(parts) < 3:
return None
repo = f"{parts[0]}/{parts[1]}"
skill_path = parts[2]
files = self._download_directory(repo, skill_path)
if not files or "SKILL.md" not in files:
return None
skill_name = skill_path.rstrip("/").split("/")[-1]
trust = self.trust_level_for(identifier)
return SkillBundle(
name=skill_name,
files=files,
source="github",
identifier=identifier,
trust_level=trust,
)
def inspect(self, identifier: str) -> Optional[SkillMeta]:
"""Fetch just the SKILL.md metadata for preview."""
parts = identifier.split("/", 2)
if len(parts) < 3:
return None
repo = f"{parts[0]}/{parts[1]}"
skill_path = parts[2].rstrip("/")
skill_md_path = f"{skill_path}/SKILL.md"
content = self._fetch_file_content(repo, skill_md_path)
if not content:
return None
fm = self._parse_frontmatter_quick(content)
skill_name = fm.get("name", skill_path.split("/")[-1])
description = fm.get("description", "")
tags = []
metadata = fm.get("metadata", {})
if isinstance(metadata, dict):
hermes_meta = metadata.get("hermes", {})
if isinstance(hermes_meta, dict):
tags = hermes_meta.get("tags", [])
if not tags:
raw_tags = fm.get("tags", [])
tags = raw_tags if isinstance(raw_tags, list) else []
return SkillMeta(
name=skill_name,
description=str(description),
source="github",
identifier=identifier,
trust_level=self.trust_level_for(identifier),
repo=repo,
path=skill_path,
tags=[str(t) for t in tags],
)
# -- Internal helpers --
def _list_skills_in_repo(self, repo: str, path: str) -> List[SkillMeta]:
"""List skill directories in a GitHub repo path, using cached index."""
cache_key = f"{repo}_{path}".replace("/", "_").replace(" ", "_")
cached = self._read_cache(cache_key)
if cached is not None:
return [SkillMeta(**s) for s in cached]
url = f"https://api.github.com/repos/{repo}/contents/{path.rstrip('/')}"
try:
resp = httpx.get(url, headers=self.auth.get_headers(), timeout=15, follow_redirects=True)
if resp.status_code != 200:
return []
except httpx.HTTPError:
return []
entries = resp.json()
if not isinstance(entries, list):
return []
skills: List[SkillMeta] = []
for entry in entries:
if entry.get("type") != "dir":
continue
dir_name = entry["name"]
if dir_name.startswith(".") or dir_name.startswith("_"):
continue
prefix = path.rstrip("/")
skill_identifier = f"{repo}/{prefix}/{dir_name}" if prefix else f"{repo}/{dir_name}"
meta = self.inspect(skill_identifier)
if meta:
skills.append(meta)
# Cache the results
self._write_cache(cache_key, [self._meta_to_dict(s) for s in skills])
return skills
def _download_directory(self, repo: str, path: str) -> Dict[str, str]:
"""Recursively download all text files from a GitHub directory.
Uses the Git Trees API first (single call for the entire tree) to
avoid per-directory rate limiting that causes silent subdirectory
loss. Falls back to the recursive Contents API when the tree
endpoint is unavailable or the response is truncated.
"""
files = self._download_directory_via_tree(repo, path)
if files is not None:
return files
logger.debug("Tree API unavailable for %s/%s, falling back to Contents API", repo, path)
return self._download_directory_recursive(repo, path)
def _download_directory_via_tree(self, repo: str, path: str) -> Optional[Dict[str, str]]:
"""Download an entire directory using the Git Trees API (single request)."""
path = path.rstrip("/")
headers = self.auth.get_headers()
# Resolve the default branch via the repo endpoint
try:
repo_url = f"https://api.github.com/repos/{repo}"
resp = httpx.get(repo_url, headers=headers, timeout=15, follow_redirects=True)
if resp.status_code != 200:
return None
default_branch = resp.json().get("default_branch", "main")
except (httpx.HTTPError, ValueError):
return None
# Fetch the full recursive tree (branch name works as tree-ish)
try:
tree_url = f"https://api.github.com/repos/{repo}/git/trees/{default_branch}"
resp = httpx.get(
tree_url, params={"recursive": "1"},
headers=headers, timeout=30, follow_redirects=True,
)
if resp.status_code != 200:
return None
tree_data = resp.json()
if tree_data.get("truncated"):
logger.debug("Git tree truncated for %s, falling back to Contents API", repo)
return None
except (httpx.HTTPError, ValueError):
return None
# Filter to blobs under our target path and fetch content
prefix = f"{path}/"
files: Dict[str, str] = {}
for item in tree_data.get("tree", []):
if item.get("type") != "blob":
continue
item_path = item.get("path", "")
if not item_path.startswith(prefix):
continue
rel_path = item_path[len(prefix):]
content = self._fetch_file_content(repo, item_path)
if content is not None:
files[rel_path] = content
else:
logger.debug("Skipped file (fetch failed): %s/%s", repo, item_path)
return files if files else None
def _download_directory_recursive(self, repo: str, path: str) -> Dict[str, str]:
"""Recursively download via Contents API (fallback)."""
url = f"https://api.github.com/repos/{repo}/contents/{path.rstrip('/')}"
try:
resp = httpx.get(url, headers=self.auth.get_headers(), timeout=15, follow_redirects=True)
if resp.status_code != 200:
logger.debug("Contents API returned %d for %s/%s", resp.status_code, repo, path)
return {}
except httpx.HTTPError:
return {}
entries = resp.json()
if not isinstance(entries, list):
return {}
files: Dict[str, str] = {}
for entry in entries:
name = entry.get("name", "")
entry_type = entry.get("type", "")
if entry_type == "file":
content = self._fetch_file_content(repo, entry.get("path", ""))
if content is not None:
rel_path = name
files[rel_path] = content
elif entry_type == "dir":
sub_files = self._download_directory_recursive(repo, entry.get("path", ""))
if not sub_files:
logger.debug("Empty or failed subdirectory: %s/%s", repo, entry.get("path", ""))
for sub_name, sub_content in sub_files.items():
files[f"{name}/{sub_name}"] = sub_content
return files
def _find_skill_in_repo_tree(self, repo: str, skill_name: str) -> Optional[str]:
"""Use the GitHub Trees API to find a skill directory anywhere in the repo.
Returns the full identifier (``repo/path/to/skill``) or ``None``.
This is a single API call regardless of repo depth, so it efficiently
handles deeply nested directory structures like
``cli-tool/components/skills/development/<skill>/SKILL.md``.
"""
# Get default branch
try:
resp = httpx.get(
f"https://api.github.com/repos/{repo}",
headers=self.auth.get_headers(),
timeout=15,
follow_redirects=True,
)
if resp.status_code != 200:
return None
default_branch = resp.json().get("default_branch", "main")
except (httpx.HTTPError, json.JSONDecodeError):
return None
# Get recursive tree (single API call for the entire repo)
try:
resp = httpx.get(
f"https://api.github.com/repos/{repo}/git/trees/{default_branch}",
params={"recursive": "1"},
headers=self.auth.get_headers(),
timeout=30,
follow_redirects=True,
)
if resp.status_code != 200:
return None
tree_data = resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
return None
# Look for SKILL.md files inside directories named <skill_name>
skill_md_suffix = f"/{skill_name}/SKILL.md"
for entry in tree_data.get("tree", []):
if entry.get("type") != "blob":
continue
path = entry.get("path", "")
if path.endswith(skill_md_suffix) or path == f"{skill_name}/SKILL.md":
# Strip /SKILL.md to get the skill directory path
skill_dir = path[: -len("/SKILL.md")]
return f"{repo}/{skill_dir}"
return None
def _fetch_file_content(self, repo: str, path: str) -> Optional[str]:
"""Fetch a single file's content from GitHub."""
url = f"https://api.github.com/repos/{repo}/contents/{path}"
try:
resp = httpx.get(
url,
headers={**self.auth.get_headers(), "Accept": "application/vnd.github.v3.raw"},
timeout=15, follow_redirects=True,
)
if resp.status_code == 200:
return resp.text
except httpx.HTTPError as e:
logger.debug("GitHub contents API fetch failed: %s", e)
return None
def _read_cache(self, key: str) -> Optional[list]:
"""Read cached index if not expired."""
cache_file = INDEX_CACHE_DIR / f"{key}.json"
if not cache_file.exists():
return None
try:
stat = cache_file.stat()
if time.time() - stat.st_mtime > INDEX_CACHE_TTL:
return None
return json.loads(cache_file.read_text())
except (OSError, json.JSONDecodeError):
return None
def _write_cache(self, key: str, data: list) -> None:
"""Write index data to cache."""
INDEX_CACHE_DIR.mkdir(parents=True, exist_ok=True)
cache_file = INDEX_CACHE_DIR / f"{key}.json"
try:
cache_file.write_text(json.dumps(data, ensure_ascii=False))
except OSError as e:
logger.debug("Could not write cache: %s", e)
@staticmethod
def _meta_to_dict(meta: SkillMeta) -> dict:
return {
"name": meta.name,
"description": meta.description,
"source": meta.source,
"identifier": meta.identifier,
"trust_level": meta.trust_level,
"repo": meta.repo,
"path": meta.path,
"tags": meta.tags,
}
@staticmethod
def _parse_frontmatter_quick(content: str) -> dict:
"""Parse YAML frontmatter from SKILL.md content."""
if not content.startswith("---"):
return {}
match = re.search(r'\n---\s*\n', content[3:])
if not match:
return {}
yaml_text = content[3:match.start() + 3]
try:
parsed = yaml.safe_load(yaml_text)
return parsed if isinstance(parsed, dict) else {}
except yaml.YAMLError:
return {}
# ---------------------------------------------------------------------------
# Well-known Agent Skills endpoint source adapter
# ---------------------------------------------------------------------------
class WellKnownSkillSource(SkillSource):
"""Read skills from a domain exposing /.well-known/skills/index.json."""
BASE_PATH = "/.well-known/skills"
def source_id(self) -> str:
return "well-known"
def trust_level_for(self, identifier: str) -> str:
return "community"
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
index_url = self._query_to_index_url(query)
if not index_url:
return []
parsed = self._parse_index(index_url)
if not parsed:
return []
results: List[SkillMeta] = []
for entry in parsed["skills"][:limit]:
name = entry.get("name")
if not isinstance(name, str) or not name:
continue
description = entry.get("description", "")
files = entry.get("files", ["SKILL.md"])
results.append(SkillMeta(
name=name,
description=str(description),
source="well-known",
identifier=self._wrap_identifier(parsed["base_url"], name),
trust_level="community",
path=name,
extra={
"index_url": parsed["index_url"],
"base_url": parsed["base_url"],
"files": files if isinstance(files, list) else ["SKILL.md"],
},
))
return results
def inspect(self, identifier: str) -> Optional[SkillMeta]:
parsed = self._parse_identifier(identifier)
if not parsed:
return None
entry = self._index_entry(parsed["index_url"], parsed["skill_name"])
if not entry:
return None
skill_md = self._fetch_text(f"{parsed['skill_url']}/SKILL.md")
if skill_md is None:
return None
fm = GitHubSource._parse_frontmatter_quick(skill_md)
description = str(fm.get("description") or entry.get("description") or "")
name = str(fm.get("name") or parsed["skill_name"])
return SkillMeta(
name=name,
description=description,
source="well-known",
identifier=self._wrap_identifier(parsed["base_url"], parsed["skill_name"]),
trust_level="community",
path=parsed["skill_name"],
extra={
"index_url": parsed["index_url"],
"base_url": parsed["base_url"],
"files": entry.get("files", ["SKILL.md"]),
"endpoint": parsed["skill_url"],
},
)
def fetch(self, identifier: str) -> Optional[SkillBundle]:
parsed = self._parse_identifier(identifier)
if not parsed:
return None
entry = self._index_entry(parsed["index_url"], parsed["skill_name"])
if not entry:
return None
files = entry.get("files", ["SKILL.md"])
if not isinstance(files, list) or not files:
files = ["SKILL.md"]
downloaded: Dict[str, str] = {}
for rel_path in files:
if not isinstance(rel_path, str) or not rel_path:
continue
text = self._fetch_text(f"{parsed['skill_url']}/{rel_path}")
if text is None:
return None
downloaded[rel_path] = text
if "SKILL.md" not in downloaded:
return None
return SkillBundle(
name=parsed["skill_name"],
files=downloaded,
source="well-known",
identifier=self._wrap_identifier(parsed["base_url"], parsed["skill_name"]),
trust_level="community",
metadata={
"index_url": parsed["index_url"],
"base_url": parsed["base_url"],
"endpoint": parsed["skill_url"],
"files": files,
},
)
def _query_to_index_url(self, query: str) -> Optional[str]:
query = query.strip()
if not query.startswith(("http://", "https://")):
return None
if query.endswith("/index.json"):
return query
if f"{self.BASE_PATH}/" in query:
base_url = query.split(f"{self.BASE_PATH}/", 1)[0] + self.BASE_PATH
return f"{base_url}/index.json"
return query.rstrip("/") + f"{self.BASE_PATH}/index.json"
def _parse_identifier(self, identifier: str) -> Optional[dict]:
raw = identifier[len("well-known:"):] if identifier.startswith("well-known:") else identifier
if not raw.startswith(("http://", "https://")):
return None
parsed_url = urlparse(raw)
clean_url = urlunparse(parsed_url._replace(fragment=""))
fragment = parsed_url.fragment
if clean_url.endswith("/index.json"):
if not fragment:
return None
base_url = clean_url[:-len("/index.json")]
skill_name = fragment
skill_url = f"{base_url}/{skill_name}"
return {
"index_url": clean_url,
"base_url": base_url,
"skill_name": skill_name,
"skill_url": skill_url,
}
if clean_url.endswith("/SKILL.md"):
skill_url = clean_url[:-len("/SKILL.md")]
else:
skill_url = clean_url.rstrip("/")
if f"{self.BASE_PATH}/" not in skill_url:
return None
base_url, skill_name = skill_url.rsplit("/", 1)
return {
"index_url": f"{base_url}/index.json",
"base_url": base_url,
"skill_name": skill_name,
"skill_url": skill_url,
}
def _parse_index(self, index_url: str) -> Optional[dict]:
cache_key = f"well_known_index_{hashlib.md5(index_url.encode()).hexdigest()}"
cached = _read_index_cache(cache_key)
if isinstance(cached, dict) and isinstance(cached.get("skills"), list):
return cached
try:
resp = httpx.get(index_url, timeout=20, follow_redirects=True)
if resp.status_code != 200:
return None
data = resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
return None
skills = data.get("skills", []) if isinstance(data, dict) else []
if not isinstance(skills, list):
return None
parsed = {
"index_url": index_url,
"base_url": index_url[:-len("/index.json")],
"skills": skills,
}
_write_index_cache(cache_key, parsed)
return parsed
def _index_entry(self, index_url: str, skill_name: str) -> Optional[dict]:
parsed = self._parse_index(index_url)
if not parsed:
return None
for entry in parsed["skills"]:
if isinstance(entry, dict) and entry.get("name") == skill_name:
return entry
return None
@staticmethod
def _fetch_text(url: str) -> Optional[str]:
try:
resp = httpx.get(url, timeout=20, follow_redirects=True)
if resp.status_code == 200:
return resp.text
except httpx.HTTPError:
return None
return None
@staticmethod
def _wrap_identifier(base_url: str, skill_name: str) -> str:
return f"well-known:{base_url.rstrip('/')}/{skill_name}"
# ---------------------------------------------------------------------------
# skills.sh source adapter
# ---------------------------------------------------------------------------
class SkillsShSource(SkillSource):
"""Discover skills via skills.sh and fetch content from the underlying GitHub repo."""
BASE_URL = "https://skills.sh"
SEARCH_URL = f"{BASE_URL}/api/search"
_SKILL_LINK_RE = re.compile(r'href=["\']/(?P<id>(?!agents/|_next/|api/)[^"\'/]+/[^"\'/]+/[^"\'/]+)["\']')
_INSTALL_CMD_RE = re.compile(
r'npx\s+skills\s+add\s+(?P<repo>https?://github\.com/[^\s<]+|[^\s<]+)'
r'(?:\s+--skill\s+(?P<skill>[^\s<]+))?',
re.IGNORECASE,
)
_PAGE_H1_RE = re.compile(r'<h1[^>]*>(?P<title>.*?)</h1>', re.IGNORECASE | re.DOTALL)
_PROSE_H1_RE = re.compile(
r'<div[^>]*class=["\'][^"\']*prose[^"\']*["\'][^>]*>.*?<h1[^>]*>(?P<title>.*?)</h1>',
re.IGNORECASE | re.DOTALL,
)
_PROSE_P_RE = re.compile(
r'<div[^>]*class=["\'][^"\']*prose[^"\']*["\'][^>]*>.*?<p[^>]*>(?P<body>.*?)</p>',
re.IGNORECASE | re.DOTALL,
)
_WEEKLY_INSTALLS_RE = re.compile(r'Weekly Installs.*?children\\":\\"(?P<count>[0-9.,Kk]+)\\"', re.DOTALL)
def __init__(self, auth: GitHubAuth):
self.auth = auth
self.github = GitHubSource(auth=auth)
def source_id(self) -> str:
return "skills-sh"
def trust_level_for(self, identifier: str) -> str:
return self.github.trust_level_for(self._normalize_identifier(identifier))
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
if not query.strip():
return self._featured_skills(limit)
cache_key = f"skills_sh_search_{hashlib.md5(f'{query}|{limit}'.encode()).hexdigest()}"
cached = _read_index_cache(cache_key)
if cached is not None:
return [SkillMeta(**item) for item in cached][:limit]
try:
resp = httpx.get(
self.SEARCH_URL,
params={"q": query, "limit": limit},
timeout=20,
)
if resp.status_code != 200:
return []
data = resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
return []
items = data.get("skills", []) if isinstance(data, dict) else []
if not isinstance(items, list):
return []
results: List[SkillMeta] = []
for item in items[:limit]:
meta = self._meta_from_search_item(item)
if meta:
results.append(meta)
_write_index_cache(cache_key, [_skill_meta_to_dict(item) for item in results])
return results
def fetch(self, identifier: str) -> Optional[SkillBundle]:
canonical = self._normalize_identifier(identifier)
detail = self._fetch_detail_page(canonical)
for candidate in self._candidate_identifiers(canonical):
bundle = self.github.fetch(candidate)
if bundle:
bundle.source = "skills.sh"
bundle.identifier = self._wrap_identifier(canonical)
bundle.metadata.update(self._detail_to_metadata(canonical, detail))
return bundle
resolved = self._discover_identifier(canonical, detail=detail)
if resolved:
bundle = self.github.fetch(resolved)
if bundle:
bundle.source = "skills.sh"
bundle.identifier = self._wrap_identifier(canonical)
bundle.metadata.update(self._detail_to_metadata(canonical, detail))
return bundle
return None
def inspect(self, identifier: str) -> Optional[SkillMeta]:
canonical = self._normalize_identifier(identifier)
detail = self._fetch_detail_page(canonical)
meta = self._resolve_github_meta(canonical, detail=detail)
if meta:
return self._finalize_inspect_meta(meta, canonical, detail)
return None
def _featured_skills(self, limit: int) -> List[SkillMeta]:
cache_key = "skills_sh_featured"
cached = _read_index_cache(cache_key)
if cached is not None:
return [SkillMeta(**item) for item in cached][:limit]
try:
resp = httpx.get(self.BASE_URL, timeout=20)
if resp.status_code != 200:
return []
except httpx.HTTPError:
return []
seen: set[str] = set()
results: List[SkillMeta] = []
for match in self._SKILL_LINK_RE.finditer(resp.text):
canonical = match.group("id")
if canonical in seen:
continue
seen.add(canonical)
parts = canonical.split("/", 2)
if len(parts) < 3:
continue
repo = f"{parts[0]}/{parts[1]}"
skill_path = parts[2]
results.append(SkillMeta(
name=skill_path.split("/")[-1],
description=f"Featured on skills.sh from {repo}",
source="skills.sh",
identifier=self._wrap_identifier(canonical),
trust_level=self.github.trust_level_for(canonical),
repo=repo,
path=skill_path,
))
if len(results) >= limit:
break
_write_index_cache(cache_key, [_skill_meta_to_dict(item) for item in results])
return results
def _meta_from_search_item(self, item: dict) -> Optional[SkillMeta]:
if not isinstance(item, dict):
return None
canonical = item.get("id")
repo = item.get("source")
skill_path = item.get("skillId")
if not isinstance(canonical, str) or canonical.count("/") < 2:
if not (isinstance(repo, str) and isinstance(skill_path, str)):
return None
canonical = f"{repo}/{skill_path}"
parts = canonical.split("/", 2)
if len(parts) < 3:
return None
repo = f"{parts[0]}/{parts[1]}"
skill_path = parts[2]
installs = item.get("installs")
installs_label = f" · {int(installs):,} installs" if isinstance(installs, int) else ""
return SkillMeta(
name=str(item.get("name") or skill_path.split("/")[-1]),
description=f"Indexed by skills.sh from {repo}{installs_label}",
source="skills.sh",
identifier=self._wrap_identifier(canonical),
trust_level=self.github.trust_level_for(canonical),
repo=repo,
path=skill_path,
extra={
"installs": installs,
"detail_url": f"{self.BASE_URL}/{canonical}",
"repo_url": f"https://github.com/{repo}",
},
)
def _fetch_detail_page(self, identifier: str) -> Optional[dict]:
cache_key = f"skills_sh_detail_{hashlib.md5(identifier.encode()).hexdigest()}"
cached = _read_index_cache(cache_key)
if isinstance(cached, dict):
return cached
try:
resp = httpx.get(f"{self.BASE_URL}/{identifier}", timeout=20)
if resp.status_code != 200:
return None
except httpx.HTTPError:
return None
detail = self._parse_detail_page(identifier, resp.text)
if detail:
_write_index_cache(cache_key, detail)
return detail
def _parse_detail_page(self, identifier: str, html: str) -> Optional[dict]:
parts = identifier.split("/", 2)
if len(parts) < 3:
return None
default_repo = f"{parts[0]}/{parts[1]}"
skill_token = parts[2]
repo = default_repo
install_skill = skill_token
install_command = None
install_match = self._INSTALL_CMD_RE.search(html)
if install_match:
install_command = install_match.group(0).strip()
repo_value = (install_match.group("repo") or "").strip()
install_skill = (install_match.group("skill") or install_skill).strip()
repo = self._extract_repo_slug(repo_value) or repo
page_title = self._extract_first_match(self._PAGE_H1_RE, html)
body_title = self._extract_first_match(self._PROSE_H1_RE, html)
body_summary = self._extract_first_match(self._PROSE_P_RE, html)
weekly_installs = self._extract_weekly_installs(html)
security_audits = self._extract_security_audits(html, identifier)
return {
"repo": repo,
"install_skill": install_skill,
"page_title": page_title,
"body_title": body_title,
"body_summary": body_summary,
"weekly_installs": weekly_installs,
"install_command": install_command,
"repo_url": f"https://github.com/{repo}",
"detail_url": f"{self.BASE_URL}/{identifier}",
"security_audits": security_audits,
}
def _discover_identifier(self, identifier: str, detail: Optional[dict] = None) -> Optional[str]:
parts = identifier.split("/", 2)
if len(parts) < 3:
return None
default_repo = f"{parts[0]}/{parts[1]}"
repo = detail.get("repo", default_repo) if isinstance(detail, dict) else default_repo
skill_token=parts[2].split("/")[-1]
tokens=[skill_token]
if isinstance(detail, dict):
tokens.extend([
detail.get("install_skill", ""),
detail.get("page_title", ""),
detail.get("body_title", ""),
])
# Standard skill paths
base_paths = ["skills/", ".agents/skills/", ".claude/skills/"]
for base_path in base_paths:
try:
skills = self.github._list_skills_in_repo(repo, base_path)
except Exception:
continue
for meta in skills:
if self._matches_skill_tokens(meta, tokens):
return meta.identifier
# Prefer a single recursive tree lookup before brute-forcing every
# top-level directory. This avoids large request bursts on categorized
# repos like borghei/claude-skills.
tree_result = self.github._find_skill_in_repo_tree(repo, skill_token)
if tree_result:
return tree_result
# Fallback: scan repo root for directories that might contain skills
try:
root_url = f"https://api.github.com/repos/{repo}/contents/"
resp = httpx.get(root_url, headers=self.github.auth.get_headers(),
timeout=15, follow_redirects=True)
if resp.status_code == 200:
entries = resp.json()
if isinstance(entries, list):
for entry in entries:
if entry.get("type") != "dir":
continue
dir_name = entry["name"]
if dir_name.startswith(".") or dir_name.startswith("_"):
continue
if dir_name in ("skills", ".agents", ".claude"):
continue # already tried
# Try direct: repo/dir/skill_token
direct_id = f"{repo}/{dir_name}/{skill_token}"
meta = self.github.inspect(direct_id)
if meta:
return meta.identifier
# Try listing skills in this directory
try:
skills = self.github._list_skills_in_repo(repo, dir_name + "/")
except Exception:
continue
for meta in skills:
if self._matches_skill_tokens(meta, tokens):
return meta.identifier
except Exception:
pass
return None
def _resolve_github_meta(self, identifier: str, detail: Optional[dict] = None) -> Optional[SkillMeta]:
for candidate in self._candidate_identifiers(identifier):
meta = self.github.inspect(candidate)
if meta:
return meta
resolved = self._discover_identifier(identifier, detail=detail)
if resolved:
return self.github.inspect(resolved)
return None
def _finalize_inspect_meta(self, meta: SkillMeta, canonical: str, detail: Optional[dict]) -> SkillMeta:
meta.source = "skills.sh"
meta.identifier = self._wrap_identifier(canonical)
meta.trust_level = self.trust_level_for(canonical)
merged_extra = dict(meta.extra)
merged_extra.update(self._detail_to_metadata(canonical, detail))
meta.extra = merged_extra
if isinstance(detail, dict):
body_summary = detail.get("body_summary")
weekly_installs = detail.get("weekly_installs")
if body_summary:
meta.description = body_summary
elif meta.description and weekly_installs:
meta.description = f"{meta.description} · {weekly_installs} weekly installs on skills.sh"
return meta
@classmethod
def _matches_skill_tokens(cls, meta: SkillMeta, skill_tokens: List[str]) -> bool:
candidates = set()
candidates.update(cls._token_variants(meta.name))
candidates.update(cls._token_variants(meta.path))
candidates.update(cls._token_variants(meta.identifier.split("/", 2)[-1] if meta.identifier else None))
for token in skill_tokens:
variants = cls._token_variants(token)
if variants & candidates:
return True
return False
@staticmethod
def _token_variants(value: Optional[str]) -> set[str]:
if not value:
return set()
plain = SkillsShSource._strip_html(str(value)).strip().strip("/").lower()
if not plain:
return set()
base = plain.split("/")[-1]
sanitized = re.sub(r'[^a-z0-9/_-]+', '-', plain).strip('-')
sanitized_base = sanitized.split("/")[-1] if sanitized else ""
slash_tail = plain.split("/")[-1]
slash_tail_clean = slash_tail.lstrip('@')
slash_tail_clean = slash_tail_clean.split('/')[-1]
variants = {
plain,
plain.replace("_", "-"),
plain.replace("/", "-"),
base,
base.replace("_", "-"),
base.replace("/", "-"),
sanitized,
sanitized.replace("/", "-") if sanitized else "",
sanitized_base,
slash_tail_clean,
slash_tail_clean.replace("_", "-"),
}
return {v for v in variants if v}
@staticmethod
def _extract_repo_slug(repo_value: str) -> Optional[str]:
repo_value = repo_value.strip()
if repo_value.startswith("https://github.com/"):
repo_value = repo_value[len("https://github.com/"):]
repo_value = repo_value.strip("/")
parts = repo_value.split("/")
if len(parts) >= 2:
return f"{parts[0]}/{parts[1]}"
return None
@staticmethod
def _extract_first_match(pattern: re.Pattern, text: str) -> Optional[str]:
match = pattern.search(text)
if not match:
return None
value = next((group for group in match.groups() if group), None)
if value is None:
return None
return SkillsShSource._strip_html(value).strip() or None
def _detail_to_metadata(self, canonical: str, detail: Optional[dict]) -> Dict[str, Any]:
parts = canonical.split("/", 2)
repo = f"{parts[0]}/{parts[1]}" if len(parts) >= 2 else ""
metadata = {
"detail_url": f"{self.BASE_URL}/{canonical}",
}
if repo:
metadata["repo_url"] = f"https://github.com/{repo}"
if isinstance(detail, dict):
for key in ("weekly_installs", "install_command", "repo_url", "detail_url", "security_audits"):
value = detail.get(key)
if value:
metadata[key] = value
return metadata
@staticmethod
def _extract_weekly_installs(html: str) -> Optional[str]:
match = SkillsShSource._WEEKLY_INSTALLS_RE.search(html)
if not match:
return None
return match.group("count")
@staticmethod
def _extract_security_audits(html: str, identifier: str) -> Dict[str, str]:
audits: Dict[str, str] = {}
for audit in ("agent-trust-hub", "socket", "snyk"):
idx = html.find(f"/security/{audit}")
if idx == -1:
continue
window = html[idx:idx + 500]
match = re.search(r'(Pass|Warn|Fail)', window, re.IGNORECASE)
if match:
audits[audit] = match.group(1).title()
return audits
@staticmethod
def _strip_html(value: str) -> str:
return re.sub(r'<[^>]+>', '', value)
@staticmethod
def _normalize_identifier(identifier: str) -> str:
prefix_aliases = (
"skills-sh/",
"skills.sh/",
"skils-sh/",
"skils.sh/",
)
for prefix in prefix_aliases:
if identifier.startswith(prefix):
return identifier[len(prefix):]
return identifier
@staticmethod
def _candidate_identifiers(identifier: str) -> List[str]:
parts = identifier.split("/", 2)
if len(parts) < 3:
return [identifier]
repo = f"{parts[0]}/{parts[1]}"
skill_path = parts[2].lstrip("/")
candidates = [
f"{repo}/{skill_path}",
f"{repo}/skills/{skill_path}",
f"{repo}/.agents/skills/{skill_path}",
f"{repo}/.claude/skills/{skill_path}",
]
seen = set()
deduped: List[str] = []
for candidate in candidates:
if candidate not in seen:
seen.add(candidate)
deduped.append(candidate)
return deduped
@staticmethod
def _wrap_identifier(identifier: str) -> str:
return f"skills-sh/{identifier}"
# ---------------------------------------------------------------------------
# ClawHub source adapter
# ---------------------------------------------------------------------------
class ClawHubSource(SkillSource):
"""
Fetch skills from ClawHub (clawhub.ai) via their HTTP API.
All skills are treated as community trust — ClawHavoc incident showed
their vetting is insufficient (341 malicious skills found Feb 2026).
"""
BASE_URL = "https://clawhub.ai/api/v1"
def source_id(self) -> str:
return "clawhub"
def trust_level_for(self, identifier: str) -> str:
return "community"
@staticmethod
def _normalize_tags(tags: Any) -> List[str]:
if isinstance(tags, list):
return [str(t) for t in tags]
if isinstance(tags, dict):
return [str(k) for k in tags.keys() if str(k) != "latest"]
return []
@staticmethod
def _coerce_skill_payload(data: Any) -> Optional[Dict[str, Any]]:
if not isinstance(data, dict):
return None
nested = data.get("skill")
if isinstance(nested, dict):
merged = dict(nested)
latest_version = data.get("latestVersion")
if latest_version is not None and "latestVersion" not in merged:
merged["latestVersion"] = latest_version
return merged
return data
@staticmethod
def _query_terms(query: str) -> List[str]:
return [term for term in re.split(r"[^a-z0-9]+", query.lower()) if term]
@classmethod
def _search_score(cls, query: str, meta: SkillMeta) -> int:
query_norm = query.strip().lower()
if not query_norm:
return 1
identifier = (meta.identifier or "").lower()
name = (meta.name or "").lower()
description = (meta.description or "").lower()
normalized_identifier = " ".join(cls._query_terms(identifier))
normalized_name = " ".join(cls._query_terms(name))
query_terms = cls._query_terms(query_norm)
identifier_terms = cls._query_terms(identifier)
name_terms = cls._query_terms(name)
score = 0
if query_norm == identifier:
score += 140
if query_norm == name:
score += 130
if normalized_identifier == query_norm:
score += 125
if normalized_name == query_norm:
score += 120
if normalized_identifier.startswith(query_norm):
score += 95
if normalized_name.startswith(query_norm):
score += 90
if query_terms and identifier_terms[: len(query_terms)] == query_terms:
score += 70
if query_terms and name_terms[: len(query_terms)] == query_terms:
score += 65
if query_norm in identifier:
score += 40
if query_norm in name:
score += 35
if query_norm in description:
score += 10
for term in query_terms:
if term in identifier_terms:
score += 15
if term in name_terms:
score += 12
if term in description:
score += 3
return score
@staticmethod
def _dedupe_results(results: List[SkillMeta]) -> List[SkillMeta]:
seen: set[str] = set()
deduped: List[SkillMeta] = []
for result in results:
key = (result.identifier or result.name).lower()
if key in seen:
continue
seen.add(key)
deduped.append(result)
return deduped
def _exact_slug_meta(self, query: str) -> Optional[SkillMeta]:
slug = query.strip().split("/")[-1]
query_terms = self._query_terms(query)
candidates: List[str] = []
if slug and re.fullmatch(r"[A-Za-z0-9][A-Za-z0-9._-]*", slug):
candidates.append(slug)
if query_terms:
base_slug = "-".join(query_terms)
if len(query_terms) >= 2:
candidates.extend([
f"{base_slug}-agent",
f"{base_slug}-skill",
f"{base_slug}-tool",
f"{base_slug}-assistant",
f"{base_slug}-playbook",
base_slug,
])
else:
candidates.append(base_slug)
seen: set[str] = set()
for candidate in candidates:
if candidate in seen:
continue
seen.add(candidate)
meta = self.inspect(candidate)
if meta:
return meta
return None
def _finalize_search_results(self, query: str, results: List[SkillMeta], limit: int) -> List[SkillMeta]:
query_norm = query.strip()
if not query_norm:
return self._dedupe_results(results)[:limit]
filtered = [meta for meta in results if self._search_score(query_norm, meta) > 0]
filtered.sort(
key=lambda meta: (
-self._search_score(query_norm, meta),
meta.name.lower(),
meta.identifier.lower(),
)
)
filtered = self._dedupe_results(filtered)
exact = self._exact_slug_meta(query_norm)
if exact:
filtered = [meta for meta in filtered if self._search_score(query_norm, meta) >= 20]
filtered = self._dedupe_results([exact] + filtered)
if filtered:
return filtered[:limit]
if re.fullmatch(r"[A-Za-z0-9][A-Za-z0-9._/-]*", query_norm):
return []
return self._dedupe_results(results)[:limit]
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
query = query.strip()
if query:
query_terms = self._query_terms(query)
if len(query_terms) >= 2:
direct = self._exact_slug_meta(query)
if direct:
return [direct]
results = self._search_catalog(query, limit=limit)
if results:
return results
# Empty query or catalog fallback failure: use the lightweight listing API.
cache_key = f"clawhub_search_listing_v1_{hashlib.md5(query.encode()).hexdigest()}_{limit}"
cached = _read_index_cache(cache_key)
if cached is not None:
return self._finalize_search_results(
query,
[SkillMeta(**s) for s in cached],
limit,
)
try:
resp = httpx.get(
f"{self.BASE_URL}/skills",
params={"search": query, "limit": limit},
timeout=15,
)
if resp.status_code != 200:
return []
data = resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
return []
skills_data = data.get("items", data) if isinstance(data, dict) else data
if not isinstance(skills_data, list):
return []
results = []
for item in skills_data[:limit]:
slug = item.get("slug")
if not slug:
continue
display_name = item.get("displayName") or item.get("name") or slug
summary = item.get("summary") or item.get("description") or ""
tags = self._normalize_tags(item.get("tags", []))
results.append(SkillMeta(
name=display_name,
description=summary,
source="clawhub",
identifier=slug,
trust_level="community",
tags=tags,
))
final_results = self._finalize_search_results(query, results, limit)
_write_index_cache(cache_key, [_skill_meta_to_dict(s) for s in final_results])
return final_results
def fetch(self, identifier: str) -> Optional[SkillBundle]:
slug = identifier.split("/")[-1]
skill_data = self._get_json(f"{self.BASE_URL}/skills/{slug}")
if not isinstance(skill_data, dict):
return None
latest_version = self._resolve_latest_version(slug, skill_data)
if not latest_version:
logger.warning("ClawHub fetch failed for %s: could not resolve latest version", slug)
return None
# Primary method: download the skill as a ZIP bundle from /download
files = self._download_zip(slug, latest_version)
# Fallback: try the version metadata endpoint for inline/raw content
if "SKILL.md" not in files:
version_data = self._get_json(f"{self.BASE_URL}/skills/{slug}/versions/{latest_version}")
if isinstance(version_data, dict):
# Files may be nested under version_data["version"]["files"]
files = self._extract_files(version_data) or files
if "SKILL.md" not in files:
nested = version_data.get("version", {})
if isinstance(nested, dict):
files = self._extract_files(nested) or files
if "SKILL.md" not in files:
logger.warning(
"ClawHub fetch for %s resolved version %s but could not retrieve file content",
slug,
latest_version,
)
return None
return SkillBundle(
name=slug,
files=files,
source="clawhub",
identifier=slug,
trust_level="community",
)
def inspect(self, identifier: str) -> Optional[SkillMeta]:
slug = identifier.split("/")[-1]
data = self._coerce_skill_payload(self._get_json(f"{self.BASE_URL}/skills/{slug}"))
if not isinstance(data, dict):
return None
tags = self._normalize_tags(data.get("tags", []))
return SkillMeta(
name=data.get("displayName") or data.get("name") or data.get("slug") or slug,
description=data.get("summary") or data.get("description") or "",
source="clawhub",
identifier=data.get("slug") or slug,
trust_level="community",
tags=tags,
)
def _search_catalog(self, query: str, limit: int = 10) -> List[SkillMeta]:
cache_key = f"clawhub_search_catalog_v1_{hashlib.md5(f'{query}|{limit}'.encode()).hexdigest()}"
cached = _read_index_cache(cache_key)
if cached is not None:
return [SkillMeta(**s) for s in cached][:limit]
catalog = self._load_catalog_index()
if not catalog:
return []
results = self._finalize_search_results(query, catalog, limit)
_write_index_cache(cache_key, [_skill_meta_to_dict(s) for s in results])
return results
def _load_catalog_index(self) -> List[SkillMeta]:
cache_key = "clawhub_catalog_v1"
cached = _read_index_cache(cache_key)
if cached is not None:
return [SkillMeta(**s) for s in cached]
cursor: Optional[str] = None
results: List[SkillMeta] = []
seen: set[str] = set()
max_pages = 50
for _ in range(max_pages):
params: Dict[str, Any] = {"limit": 200}
if cursor:
params["cursor"] = cursor
try:
resp = httpx.get(f"{self.BASE_URL}/skills", params=params, timeout=30)
if resp.status_code != 200:
break
data = resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
break
items = data.get("items", []) if isinstance(data, dict) else []
if not isinstance(items, list) or not items:
break
for item in items:
slug = item.get("slug")
if not isinstance(slug, str) or not slug or slug in seen:
continue
seen.add(slug)
display_name = item.get("displayName") or item.get("name") or slug
summary = item.get("summary") or item.get("description") or ""
tags = self._normalize_tags(item.get("tags", []))
results.append(SkillMeta(
name=display_name,
description=summary,
source="clawhub",
identifier=slug,
trust_level="community",
tags=tags,
))
cursor = data.get("nextCursor") if isinstance(data, dict) else None
if not isinstance(cursor, str) or not cursor:
break
_write_index_cache(cache_key, [_skill_meta_to_dict(s) for s in results])
return results
def _get_json(self, url: str, timeout: int = 20) -> Optional[Any]:
try:
resp = httpx.get(url, timeout=timeout)
if resp.status_code != 200:
return None
return resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
return None
def _resolve_latest_version(self, slug: str, skill_data: Dict[str, Any]) -> Optional[str]:
latest = skill_data.get("latestVersion")
if isinstance(latest, dict):
version = latest.get("version")
if isinstance(version, str) and version:
return version
tags = skill_data.get("tags")
if isinstance(tags, dict):
latest_tag = tags.get("latest")
if isinstance(latest_tag, str) and latest_tag:
return latest_tag
versions_data = self._get_json(f"{self.BASE_URL}/skills/{slug}/versions")
if isinstance(versions_data, list) and versions_data:
first = versions_data[0]
if isinstance(first, dict):
version = first.get("version")
if isinstance(version, str) and version:
return version
return None
def _extract_files(self, version_data: Dict[str, Any]) -> Dict[str, str]:
files: Dict[str, str] = {}
file_list = version_data.get("files")
if isinstance(file_list, dict):
return {k: v for k, v in file_list.items() if isinstance(v, str)}
if not isinstance(file_list, list):
return files
for file_meta in file_list:
if not isinstance(file_meta, dict):
continue
fname = file_meta.get("path") or file_meta.get("name")
if not fname or not isinstance(fname, str):
continue
inline_content = file_meta.get("content")
if isinstance(inline_content, str):
files[fname] = inline_content
continue
raw_url = file_meta.get("rawUrl") or file_meta.get("downloadUrl") or file_meta.get("url")
if isinstance(raw_url, str) and raw_url.startswith("http"):
content = self._fetch_text(raw_url)
if content is not None:
files[fname] = content
return files
def _download_zip(self, slug: str, version: str) -> Dict[str, str]:
"""Download skill as a ZIP bundle from the /download endpoint and extract text files."""
import io
import zipfile
files: Dict[str, str] = {}
max_retries = 3
for attempt in range(max_retries):
try:
resp = httpx.get(
f"{self.BASE_URL}/download",
params={"slug": slug, "version": version},
timeout=30,
follow_redirects=True,
)
if resp.status_code == 429:
retry_after = int(resp.headers.get("retry-after", "5"))
retry_after = min(retry_after, 15) # Cap wait time
logger.debug(
"ClawHub download rate-limited for %s, retrying in %ds (attempt %d/%d)",
slug, retry_after, attempt + 1, max_retries,
)
time.sleep(retry_after)
continue
if resp.status_code != 200:
logger.debug("ClawHub ZIP download for %s v%s returned %s", slug, version, resp.status_code)
return files
with zipfile.ZipFile(io.BytesIO(resp.content)) as zf:
for info in zf.infolist():
if info.is_dir():
continue
# Sanitize path — strip leading slashes and ..
name = info.filename.lstrip("/")
if ".." in name or name.startswith("/"):
continue
# Only extract text-sized files (skip large binaries)
if info.file_size > 500_000:
logger.debug("Skipping large file in ZIP: %s (%d bytes)", name, info.file_size)
continue
try:
raw = zf.read(info.filename)
files[name] = raw.decode("utf-8")
except (UnicodeDecodeError, KeyError):
logger.debug("Skipping non-text file in ZIP: %s", name)
continue
return files
except zipfile.BadZipFile:
logger.warning("ClawHub returned invalid ZIP for %s v%s", slug, version)
return files
except httpx.HTTPError as exc:
logger.debug("ClawHub ZIP download failed for %s v%s: %s", slug, version, exc)
return files
logger.debug("ClawHub ZIP download exhausted retries for %s v%s", slug, version)
return files
def _fetch_text(self, url: str) -> Optional[str]:
try:
resp = httpx.get(url, timeout=20)
if resp.status_code == 200:
return resp.text
except httpx.HTTPError:
return None
return None
# ---------------------------------------------------------------------------
# Claude Code marketplace source adapter
# ---------------------------------------------------------------------------
class ClaudeMarketplaceSource(SkillSource):
"""
Discover skills from Claude Code marketplace repos.
Marketplace repos contain .claude-plugin/marketplace.json with plugin listings.
"""
KNOWN_MARKETPLACES = [
"anthropics/skills",
"aiskillstore/marketplace",
]
def __init__(self, auth: GitHubAuth):
self.auth = auth
def source_id(self) -> str:
return "claude-marketplace"
def trust_level_for(self, identifier: str) -> str:
parts = identifier.split("/", 2)
if len(parts) >= 2:
repo = f"{parts[0]}/{parts[1]}"
if repo in TRUSTED_REPOS:
return "trusted"
return "community"
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
results: List[SkillMeta] = []
query_lower = query.lower()
for marketplace_repo in self.KNOWN_MARKETPLACES:
plugins = self._fetch_marketplace_index(marketplace_repo)
for plugin in plugins:
searchable = f"{plugin.get('name', '')} {plugin.get('description', '')}".lower()
if query_lower in searchable:
source_path = plugin.get("source", "")
if source_path.startswith("./"):
identifier = f"{marketplace_repo}/{source_path[2:]}"
elif "/" in source_path:
identifier = source_path
else:
identifier = f"{marketplace_repo}/{source_path}"
results.append(SkillMeta(
name=plugin.get("name", ""),
description=plugin.get("description", ""),
source="claude-marketplace",
identifier=identifier,
trust_level=self.trust_level_for(identifier),
repo=marketplace_repo,
))
return results[:limit]
def fetch(self, identifier: str) -> Optional[SkillBundle]:
# Delegate to GitHub Contents API since marketplace skills live in GitHub repos
gh = GitHubSource(auth=self.auth)
bundle = gh.fetch(identifier)
if bundle:
bundle.source = "claude-marketplace"
return bundle
def inspect(self, identifier: str) -> Optional[SkillMeta]:
gh = GitHubSource(auth=self.auth)
meta = gh.inspect(identifier)
if meta:
meta.source = "claude-marketplace"
meta.trust_level = self.trust_level_for(identifier)
return meta
def _fetch_marketplace_index(self, repo: str) -> List[dict]:
"""Fetch and parse .claude-plugin/marketplace.json from a repo."""
cache_key = f"claude_marketplace_{repo.replace('/', '_')}"
cached = _read_index_cache(cache_key)
if cached is not None:
return cached
url = f"https://api.github.com/repos/{repo}/contents/.claude-plugin/marketplace.json"
try:
resp = httpx.get(
url,
headers={**self.auth.get_headers(), "Accept": "application/vnd.github.v3.raw"},
timeout=15,
)
if resp.status_code != 200:
return []
data = json.loads(resp.text)
except (httpx.HTTPError, json.JSONDecodeError):
return []
plugins = data.get("plugins", [])
_write_index_cache(cache_key, plugins)
return plugins
# ---------------------------------------------------------------------------
# LobeHub source adapter
# ---------------------------------------------------------------------------
class LobeHubSource(SkillSource):
"""
Fetch skills from LobeHub's agent marketplace (14,500+ agents).
LobeHub agents are system prompt templates — we convert them to SKILL.md on fetch.
Data lives in GitHub: lobehub/lobe-chat-agents.
"""
INDEX_URL = "https://chat-agents.lobehub.com/index.json"
REPO = "lobehub/lobe-chat-agents"
def source_id(self) -> str:
return "lobehub"
def trust_level_for(self, identifier: str) -> str:
return "community"
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
index = self._fetch_index()
if not index:
return []
query_lower = query.lower()
results: List[SkillMeta] = []
agents = index.get("agents", index) if isinstance(index, dict) else index
if not isinstance(agents, list):
return []
for agent in agents:
meta = agent.get("meta", agent)
title = meta.get("title", agent.get("identifier", ""))
desc = meta.get("description", "")
tags = meta.get("tags", [])
searchable = f"{title} {desc} {' '.join(tags) if isinstance(tags, list) else ''}".lower()
if query_lower in searchable:
identifier = agent.get("identifier", title.lower().replace(" ", "-"))
results.append(SkillMeta(
name=identifier,
description=desc[:200],
source="lobehub",
identifier=f"lobehub/{identifier}",
trust_level="community",
tags=tags if isinstance(tags, list) else [],
))
if len(results) >= limit:
break
return results
def fetch(self, identifier: str) -> Optional[SkillBundle]:
# Strip "lobehub/" prefix if present
agent_id = identifier.split("/", 1)[-1] if identifier.startswith("lobehub/") else identifier
agent_data = self._fetch_agent(agent_id)
if not agent_data:
return None
skill_md = self._convert_to_skill_md(agent_data)
return SkillBundle(
name=agent_id,
files={"SKILL.md": skill_md},
source="lobehub",
identifier=f"lobehub/{agent_id}",
trust_level="community",
)
def inspect(self, identifier: str) -> Optional[SkillMeta]:
agent_id = identifier.split("/", 1)[-1] if identifier.startswith("lobehub/") else identifier
index = self._fetch_index()
if not index:
return None
agents = index.get("agents", index) if isinstance(index, dict) else index
if not isinstance(agents, list):
return None
for agent in agents:
if agent.get("identifier") == agent_id:
meta = agent.get("meta", agent)
return SkillMeta(
name=agent_id,
description=meta.get("description", ""),
source="lobehub",
identifier=f"lobehub/{agent_id}",
trust_level="community",
tags=meta.get("tags", []) if isinstance(meta.get("tags"), list) else [],
)
return None
def _fetch_index(self) -> Optional[Any]:
"""Fetch the LobeHub agent index (cached for 1 hour)."""
cache_key = "lobehub_index"
cached = _read_index_cache(cache_key)
if cached is not None:
return cached
try:
resp = httpx.get(self.INDEX_URL, timeout=30)
if resp.status_code != 200:
return None
data = resp.json()
except (httpx.HTTPError, json.JSONDecodeError):
return None
_write_index_cache(cache_key, data)
return data
def _fetch_agent(self, agent_id: str) -> Optional[dict]:
"""Fetch a single agent's JSON file."""
url = f"https://chat-agents.lobehub.com/{agent_id}.json"
try:
resp = httpx.get(url, timeout=15)
if resp.status_code == 200:
return resp.json()
except (httpx.HTTPError, json.JSONDecodeError) as e:
logger.debug("LobeHub agent fetch failed: %s", e)
return None
@staticmethod
def _convert_to_skill_md(agent_data: dict) -> str:
"""Convert a LobeHub agent JSON into SKILL.md format."""
meta = agent_data.get("meta", agent_data)
identifier = agent_data.get("identifier", "lobehub-agent")
title = meta.get("title", identifier)
description = meta.get("description", "")
tags = meta.get("tags", [])
system_role = agent_data.get("config", {}).get("systemRole", "")
tag_list = tags if isinstance(tags, list) else []
fm_lines = [
"---",
f"name: {identifier}",
f"description: {description[:500]}",
"metadata:",
" hermes:",
f" tags: [{', '.join(str(t) for t in tag_list)}]",
" lobehub:",
" source: lobehub",
"---",
]
body_lines = [
f"# {title}",
"",
description,
"",
"## Instructions",
"",
system_role if system_role else "(No system role defined)",
]
return "\n".join(fm_lines) + "\n\n" + "\n".join(body_lines) + "\n"
# ---------------------------------------------------------------------------
# Official optional skills source adapter
# ---------------------------------------------------------------------------
class OptionalSkillSource(SkillSource):
"""
Fetch skills from the optional-skills/ directory shipped with the repo.
These skills are official (maintained by Nous Research) but not activated
by default — they don't appear in the system prompt and aren't copied to
~/.hermes/skills/ during setup. They are discoverable via the Skills Hub
(search / install / inspect) and labelled "official" with "builtin" trust.
"""
def __init__(self):
self._optional_dir = Path(__file__).parent.parent / "optional-skills"
def source_id(self) -> str:
return "official"
def trust_level_for(self, identifier: str) -> str:
return "builtin"
# -- search -----------------------------------------------------------
def search(self, query: str, limit: int = 10) -> List[SkillMeta]:
results: List[SkillMeta] = []
query_lower = query.lower()
for meta in self._scan_all():
searchable = f"{meta.name} {meta.description} {' '.join(meta.tags)}".lower()
if query_lower in searchable:
results.append(meta)
if len(results) >= limit:
break
return results
# -- fetch ------------------------------------------------------------
def fetch(self, identifier: str) -> Optional[SkillBundle]:
# identifier format: "official/category/skill" or "official/skill"
rel = identifier.split("/", 1)[-1] if identifier.startswith("official/") else identifier
skill_dir = self._optional_dir / rel
# Guard against path traversal (e.g. "official/../../etc")
try:
resolved = skill_dir.resolve()
if not str(resolved).startswith(str(self._optional_dir.resolve())):
return None
except (OSError, ValueError):
return None
if not resolved.is_dir():
# Try searching by skill name only (last segment)
skill_name = rel.rsplit("/", 1)[-1]
skill_dir = self._find_skill_dir(skill_name)
if not skill_dir:
return None
else:
skill_dir = resolved
files: Dict[str, Union[str, bytes]] = {}
for f in skill_dir.rglob("*"):
if (
f.is_file()
and not f.name.startswith(".")
and "__pycache__" not in f.parts
and f.suffix != ".pyc"
):
rel_path = str(f.relative_to(skill_dir))
try:
files[rel_path] = f.read_bytes()
except OSError:
continue
if not files:
return None
# Determine category from directory structure
name = skill_dir.name
return SkillBundle(
name=name,
files=files,
source="official",
identifier=f"official/{skill_dir.relative_to(self._optional_dir)}",
trust_level="builtin",
)
# -- inspect ----------------------------------------------------------
def inspect(self, identifier: str) -> Optional[SkillMeta]:
rel = identifier.split("/", 1)[-1] if identifier.startswith("official/") else identifier
skill_name = rel.rsplit("/", 1)[-1]
for meta in self._scan_all():
if meta.name == skill_name:
return meta
return None
# -- internal helpers -------------------------------------------------
def _find_skill_dir(self, name: str) -> Optional[Path]:
"""Find a skill directory by name anywhere in optional-skills/."""
if not self._optional_dir.is_dir():
return None
for skill_md in self._optional_dir.rglob("SKILL.md"):
if skill_md.parent.name == name:
return skill_md.parent
return None
def _scan_all(self) -> List[SkillMeta]:
"""Enumerate all optional skills with metadata."""
if not self._optional_dir.is_dir():
return []
results: List[SkillMeta] = []
for skill_md in sorted(self._optional_dir.rglob("SKILL.md")):
parent = skill_md.parent
rel_parts = parent.relative_to(self._optional_dir).parts
if any(part.startswith(".") for part in rel_parts):
continue
try:
content = skill_md.read_text(encoding="utf-8")
except (OSError, UnicodeDecodeError):
continue
fm = self._parse_frontmatter(content)
name = fm.get("name", parent.name)
desc = fm.get("description", "")
tags = []
meta_block = fm.get("metadata", {})
if isinstance(meta_block, dict):
hermes_meta = meta_block.get("hermes", {})
if isinstance(hermes_meta, dict):
tags = hermes_meta.get("tags", [])
rel_path = str(parent.relative_to(self._optional_dir))
results.append(SkillMeta(
name=name,
description=desc[:200],
source="official",
identifier=f"official/{rel_path}",
trust_level="builtin",
path=rel_path,
tags=tags if isinstance(tags, list) else [],
))
return results
@staticmethod
def _parse_frontmatter(content: str) -> dict:
"""Parse YAML frontmatter from SKILL.md content."""
if not content.startswith("---"):
return {}
match = re.search(r'\n---\s*\n', content[3:])
if not match:
return {}
yaml_text = content[3:match.start() + 3]
try:
parsed = yaml.safe_load(yaml_text)
return parsed if isinstance(parsed, dict) else {}
except yaml.YAMLError:
return {}
# ---------------------------------------------------------------------------
# Shared cache helpers (used by multiple adapters)
# ---------------------------------------------------------------------------
def _read_index_cache(key: str) -> Optional[Any]:
"""Read cached data if not expired."""
cache_file = INDEX_CACHE_DIR / f"{key}.json"
if not cache_file.exists():
return None
try:
stat = cache_file.stat()
if time.time() - stat.st_mtime > INDEX_CACHE_TTL:
return None
return json.loads(cache_file.read_text())
except (OSError, json.JSONDecodeError):
return None
def _write_index_cache(key: str, data: Any) -> None:
"""Write data to cache."""
INDEX_CACHE_DIR.mkdir(parents=True, exist_ok=True)
# Ensure .ignore exists so ripgrep (and tools respecting .ignore) skip
# this directory. Cache files contain unvetted community content that
# could include adversarial text (prompt injection via catalog entries).
ignore_file = HUB_DIR / ".ignore"
if not ignore_file.exists():
try:
ignore_file.write_text("# Exclude hub internals from search tools\n*\n")
except OSError:
pass
cache_file = INDEX_CACHE_DIR / f"{key}.json"
try:
cache_file.write_text(json.dumps(data, ensure_ascii=False, default=str))
except OSError as e:
logger.debug("Could not write cache: %s", e)
def _skill_meta_to_dict(meta: SkillMeta) -> dict:
"""Convert a SkillMeta to a dict for caching."""
return {
"name": meta.name,
"description": meta.description,
"source": meta.source,
"identifier": meta.identifier,
"trust_level": meta.trust_level,
"repo": meta.repo,
"path": meta.path,
"tags": meta.tags,
"extra": meta.extra,
}
# ---------------------------------------------------------------------------
# Lock file management
# ---------------------------------------------------------------------------
class HubLockFile:
"""Manages skills/.hub/lock.json — tracks provenance of installed hub skills."""
def __init__(self, path: Path = LOCK_FILE):
self.path = path
def load(self) -> dict:
if not self.path.exists():
return {"version": 1, "installed": {}}
try:
return json.loads(self.path.read_text())
except (json.JSONDecodeError, OSError):
return {"version": 1, "installed": {}}
def save(self, data: dict) -> None:
self.path.parent.mkdir(parents=True, exist_ok=True)
self.path.write_text(json.dumps(data, indent=2, ensure_ascii=False) + "\n")
def record_install(
self,
name: str,
source: str,
identifier: str,
trust_level: str,
scan_verdict: str,
skill_hash: str,
install_path: str,
files: List[str],
metadata: Optional[Dict[str, Any]] = None,
) -> None:
data = self.load()
data["installed"][name] = {
"source": source,
"identifier": identifier,
"trust_level": trust_level,
"scan_verdict": scan_verdict,
"content_hash": skill_hash,
"install_path": install_path,
"files": files,
"metadata": metadata or {},
"installed_at": datetime.now(timezone.utc).isoformat(),
"updated_at": datetime.now(timezone.utc).isoformat(),
}
self.save(data)
def record_uninstall(self, name: str) -> None:
data = self.load()
data["installed"].pop(name, None)
self.save(data)
def get_installed(self, name: str) -> Optional[dict]:
data = self.load()
return data["installed"].get(name)
def list_installed(self) -> List[dict]:
data = self.load()
result = []
for name, entry in data["installed"].items():
result.append({"name": name, **entry})
return result
def is_hub_installed(self, name: str) -> bool:
data = self.load()
return name in data["installed"]
# ---------------------------------------------------------------------------
# Taps management
# ---------------------------------------------------------------------------
class TapsManager:
"""Manages the taps.json file — custom GitHub repo sources."""
def __init__(self, path: Path = TAPS_FILE):
self.path = path
def load(self) -> List[dict]:
if not self.path.exists():
return []
try:
data = json.loads(self.path.read_text())
return data.get("taps", [])
except (json.JSONDecodeError, OSError):
return []
def save(self, taps: List[dict]) -> None:
self.path.parent.mkdir(parents=True, exist_ok=True)
self.path.write_text(json.dumps({"taps": taps}, indent=2) + "\n")
def add(self, repo: str, path: str = "skills/") -> bool:
"""Add a tap. Returns False if already exists."""
taps = self.load()
if any(t["repo"] == repo for t in taps):
return False
taps.append({"repo": repo, "path": path})
self.save(taps)
return True
def remove(self, repo: str) -> bool:
"""Remove a tap by repo name. Returns False if not found."""
taps = self.load()
new_taps = [t for t in taps if t["repo"] != repo]
if len(new_taps) == len(taps):
return False
self.save(new_taps)
return True
def list_taps(self) -> List[dict]:
return self.load()
# ---------------------------------------------------------------------------
# Audit log
# ---------------------------------------------------------------------------
def append_audit_log(action: str, skill_name: str, source: str,
trust_level: str, verdict: str, extra: str = "") -> None:
"""Append a line to the audit log."""
AUDIT_LOG.parent.mkdir(parents=True, exist_ok=True)
timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
parts = [timestamp, action, skill_name, f"{source}:{trust_level}", verdict]
if extra:
parts.append(extra)
line = " ".join(parts) + "\n"
try:
with open(AUDIT_LOG, "a") as f:
f.write(line)
except OSError as e:
logger.debug("Could not write audit log: %s", e)
# ---------------------------------------------------------------------------
# Hub operations (high-level)
# ---------------------------------------------------------------------------
def ensure_hub_dirs() -> None:
"""Create the .hub directory structure if it doesn't exist."""
HUB_DIR.mkdir(parents=True, exist_ok=True)
QUARANTINE_DIR.mkdir(exist_ok=True)
INDEX_CACHE_DIR.mkdir(exist_ok=True)
if not LOCK_FILE.exists():
LOCK_FILE.write_text('{"version": 1, "installed": {}}\n')
if not AUDIT_LOG.exists():
AUDIT_LOG.touch()
if not TAPS_FILE.exists():
TAPS_FILE.write_text('{"taps": []}\n')
def quarantine_bundle(bundle: SkillBundle) -> Path:
"""Write a skill bundle to the quarantine directory for scanning."""
ensure_hub_dirs()
dest = QUARANTINE_DIR / bundle.name
if dest.exists():
shutil.rmtree(dest)
dest.mkdir(parents=True)
for rel_path, file_content in bundle.files.items():
file_dest = dest / rel_path
file_dest.parent.mkdir(parents=True, exist_ok=True)
if isinstance(file_content, bytes):
file_dest.write_bytes(file_content)
else:
file_dest.write_text(file_content, encoding="utf-8")
return dest
def install_from_quarantine(
quarantine_path: Path,
skill_name: str,
category: str,
bundle: SkillBundle,
scan_result: ScanResult,
) -> Path:
"""Move a scanned skill from quarantine into the skills directory."""
if category:
install_dir = SKILLS_DIR / category / skill_name
else:
install_dir = SKILLS_DIR / skill_name
if install_dir.exists():
shutil.rmtree(install_dir)
install_dir.parent.mkdir(parents=True, exist_ok=True)
shutil.move(str(quarantine_path), str(install_dir))
# Record in lock file
lock = HubLockFile()
lock.record_install(
name=skill_name,
source=bundle.source,
identifier=bundle.identifier,
trust_level=bundle.trust_level,
scan_verdict=scan_result.verdict,
skill_hash=content_hash(install_dir),
install_path=str(install_dir.relative_to(SKILLS_DIR)),
files=list(bundle.files.keys()),
metadata=bundle.metadata,
)
append_audit_log(
"INSTALL", skill_name, bundle.source,
bundle.trust_level, scan_result.verdict,
content_hash(install_dir),
)
return install_dir
def uninstall_skill(skill_name: str) -> Tuple[bool, str]:
"""Remove a hub-installed skill. Refuses to remove builtins."""
lock = HubLockFile()
entry = lock.get_installed(skill_name)
if not entry:
return False, f"'{skill_name}' is not a hub-installed skill (may be a builtin)"
install_path = SKILLS_DIR / entry["install_path"]
if install_path.exists():
shutil.rmtree(install_path)
lock.record_uninstall(skill_name)
append_audit_log("UNINSTALL", skill_name, entry["source"], entry["trust_level"], "n/a", "user_request")
return True, f"Uninstalled '{skill_name}' from {entry['install_path']}"
def bundle_content_hash(bundle: SkillBundle) -> str:
"""Compute a deterministic hash for an in-memory skill bundle."""
h = hashlib.sha256()
for rel_path in sorted(bundle.files):
h.update(bundle.files[rel_path].encode("utf-8"))
return f"sha256:{h.hexdigest()[:16]}"
def _source_matches(source: SkillSource, source_name: str) -> bool:
aliases = {
"skills.sh": "skills-sh",
}
normalized = aliases.get(source_name, source_name)
return source.source_id() == normalized
def check_for_skill_updates(
name: Optional[str] = None,
*,
lock: Optional[HubLockFile] = None,
sources: Optional[List[SkillSource]] = None,
auth: Optional[GitHubAuth] = None,
) -> List[dict]:
"""Check installed hub skills for upstream changes."""
lock = lock or HubLockFile()
installed = lock.list_installed()
if name:
installed = [entry for entry in installed if entry.get("name") == name]
if sources is None:
sources = create_source_router(auth=auth)
results: List[dict] = []
for entry in installed:
identifier = entry.get("identifier", "")
source_name = entry.get("source", "")
candidate_sources = [src for src in sources if _source_matches(src, source_name)] or sources
bundle = None
for src in candidate_sources:
try:
bundle = src.fetch(identifier)
except Exception:
bundle = None
if bundle:
break
if not bundle:
results.append({
"name": entry.get("name", ""),
"identifier": identifier,
"source": source_name,
"status": "unavailable",
})
continue
current_hash = entry.get("content_hash", "")
latest_hash = bundle_content_hash(bundle)
status = "up_to_date" if current_hash == latest_hash else "update_available"
results.append({
"name": entry.get("name", ""),
"identifier": identifier,
"source": source_name,
"status": status,
"current_hash": current_hash,
"latest_hash": latest_hash,
"bundle": bundle,
})
return results
def create_source_router(auth: Optional[GitHubAuth] = None) -> List[SkillSource]:
"""
Create all configured source adapters.
Returns a list of active sources for search/fetch operations.
"""
if auth is None:
auth = GitHubAuth()
taps_mgr = TapsManager()
extra_taps = taps_mgr.list_taps()
sources: List[SkillSource] = [
OptionalSkillSource(), # Official optional skills (highest priority)
SkillsShSource(auth=auth),
WellKnownSkillSource(),
GitHubSource(auth=auth, extra_taps=extra_taps),
ClawHubSource(),
ClaudeMarketplaceSource(auth=auth),
LobeHubSource(),
]
return sources
def unified_search(query: str, sources: List[SkillSource],
source_filter: str = "all", limit: int = 10) -> List[SkillMeta]:
"""Search all sources and merge results."""
all_results: List[SkillMeta] = []
for src in sources:
if source_filter != "all" and src.source_id() != source_filter:
continue
try:
results = src.search(query, limit=limit)
all_results.extend(results)
except Exception as e:
logger.debug(f"Search failed for {src.source_id()}: {e}")
# Deduplicate by name, preferring higher trust levels
_TRUST_RANK = {"builtin": 2, "trusted": 1, "community": 0}
seen: Dict[str, SkillMeta] = {}
for r in all_results:
if r.name not in seen:
seen[r.name] = r
elif _TRUST_RANK.get(r.trust_level, 0) > _TRUST_RANK.get(seen[r.name].trust_level, 0):
seen[r.name] = r
deduped = list(seen.values())
return deduped[:limit]
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