Files
hermes-agent/agent/skill_commands.py
Teknium fcd1645223 feat(skills): support external skill directories via config (#3678)
Add skills.external_dirs config option — a list of additional directories
to scan for skills alongside ~/.hermes/skills/. External dirs are read-only:
skill creation/editing always writes to the local dir. Local skills take
precedence when names collide.

This lets users share skills across tools/agents without copying them into
Hermes's own directory (e.g. ~/.agents/skills, /shared/team-skills).

Changes:
- agent/skill_utils.py: add get_external_skills_dirs() and get_all_skills_dirs()
- agent/prompt_builder.py: scan external dirs in build_skills_system_prompt()
- tools/skills_tool.py: _find_all_skills() and skill_view() search external dirs;
  security check recognizes configured external dirs as trusted
- agent/skill_commands.py: /skill slash commands discover external skills
- hermes_cli/config.py: add skills.external_dirs to DEFAULT_CONFIG
- cli-config.yaml.example: document the option
- tests/agent/test_external_skills.py: 11 tests covering discovery, precedence,
  deduplication, and skill_view for external skills

Requested by community member primco.
2026-03-29 00:33:30 -07:00

298 lines
10 KiB
Python

"""Shared slash command helpers for skills and built-in prompt-style modes.
Shared between CLI (cli.py) and gateway (gateway/run.py) so both surfaces
can invoke skills via /skill-name commands and prompt-only built-ins like
/plan.
"""
import json
import logging
import re
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
def build_plan_path(
user_instruction: str = "",
*,
now: datetime | None = None,
) -> Path:
"""Return the default workspace-relative markdown path for a /plan invocation.
Relative paths are intentional: file tools are task/backend-aware and resolve
them against the active working directory for local, docker, ssh, modal,
daytona, and similar terminal backends. That keeps the plan with the active
workspace instead of the Hermes host's global home directory.
"""
slug_source = (user_instruction or "").strip().splitlines()[0] if user_instruction else ""
slug = _PLAN_SLUG_RE.sub("-", slug_source.lower()).strip("-")
if slug:
slug = "-".join(part for part in slug.split("-")[:8] if part)[:48].strip("-")
slug = slug or "conversation-plan"
timestamp = (now or datetime.now()).strftime("%Y-%m-%d_%H%M%S")
return Path(".hermes") / "plans" / f"{timestamp}-{slug}.md"
def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tuple[dict[str, Any], Path | None, str] | None:
"""Load a skill by name/path and return (loaded_payload, skill_dir, display_name)."""
raw_identifier = (skill_identifier or "").strip()
if not raw_identifier:
return None
try:
from tools.skills_tool import SKILLS_DIR, skill_view
identifier_path = Path(raw_identifier).expanduser()
if identifier_path.is_absolute():
try:
normalized = str(identifier_path.resolve().relative_to(SKILLS_DIR.resolve()))
except Exception:
normalized = raw_identifier
else:
normalized = raw_identifier.lstrip("/")
loaded_skill = json.loads(skill_view(normalized, task_id=task_id))
except Exception:
return None
if not loaded_skill.get("success"):
return None
skill_name = str(loaded_skill.get("name") or normalized)
skill_path = str(loaded_skill.get("path") or "")
skill_dir = None
if skill_path:
try:
skill_dir = SKILLS_DIR / Path(skill_path).parent
except Exception:
skill_dir = None
return loaded_skill, skill_dir, skill_name
def _build_skill_message(
loaded_skill: dict[str, Any],
skill_dir: Path | None,
activation_note: str,
user_instruction: str = "",
runtime_note: str = "",
) -> str:
"""Format a loaded skill into a user/system message payload."""
from tools.skills_tool import SKILLS_DIR
content = str(loaded_skill.get("content") or "")
parts = [activation_note, "", content.strip()]
if loaded_skill.get("setup_skipped"):
parts.extend(
[
"",
"[Skill setup note: Required environment setup was skipped. Continue loading the skill and explain any reduced functionality if it matters.]",
]
)
elif loaded_skill.get("gateway_setup_hint"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['gateway_setup_hint']}]",
]
)
elif loaded_skill.get("setup_needed") and loaded_skill.get("setup_note"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['setup_note']}]",
]
)
supporting = []
linked_files = loaded_skill.get("linked_files") or {}
for entries in linked_files.values():
if isinstance(entries, list):
supporting.extend(entries)
if not supporting and skill_dir:
for subdir in ("references", "templates", "scripts", "assets"):
subdir_path = skill_dir / subdir
if subdir_path.exists():
for f in sorted(subdir_path.rglob("*")):
if f.is_file():
rel = str(f.relative_to(skill_dir))
supporting.append(rel)
if supporting and skill_dir:
try:
skill_view_target = str(skill_dir.relative_to(SKILLS_DIR))
except ValueError:
# Skill is from an external dir — use the skill name instead
skill_view_target = skill_dir.name
parts.append("")
parts.append("[This skill has supporting files you can load with the skill_view tool:]")
for sf in supporting:
parts.append(f"- {sf}")
parts.append(
f'\nTo view any of these, use: skill_view(name="{skill_view_target}", file_path="<path>")'
)
if user_instruction:
parts.append("")
parts.append(f"The user has provided the following instruction alongside the skill invocation: {user_instruction}")
if runtime_note:
parts.append("")
parts.append(f"[Runtime note: {runtime_note}]")
return "\n".join(parts)
def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
"""Scan ~/.hermes/skills/ and return a mapping of /command -> skill info.
Returns:
Dict mapping "/skill-name" to {name, description, skill_md_path, skill_dir}.
"""
global _skill_commands
_skill_commands = {}
try:
from tools.skills_tool import SKILLS_DIR, _parse_frontmatter, skill_matches_platform, _get_disabled_skill_names
from agent.skill_utils import get_external_skills_dirs
disabled = _get_disabled_skill_names()
seen_names: set = set()
# Scan local dir first, then external dirs
dirs_to_scan = []
if SKILLS_DIR.exists():
dirs_to_scan.append(SKILLS_DIR)
dirs_to_scan.extend(get_external_skills_dirs())
for scan_dir in dirs_to_scan:
for skill_md in scan_dir.rglob("SKILL.md"):
if any(part in ('.git', '.github', '.hub') for part in skill_md.parts):
continue
try:
content = skill_md.read_text(encoding='utf-8')
frontmatter, body = _parse_frontmatter(content)
# Skip skills incompatible with the current OS platform
if not skill_matches_platform(frontmatter):
continue
name = frontmatter.get('name', skill_md.parent.name)
if name in seen_names:
continue
# Respect user's disabled skills config
if name in disabled:
continue
description = frontmatter.get('description', '')
if not description:
for line in body.strip().split('\n'):
line = line.strip()
if line and not line.startswith('#'):
description = line[:80]
break
seen_names.add(name)
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
"skill_md_path": str(skill_md),
"skill_dir": str(skill_md.parent),
}
except Exception:
continue
except Exception:
pass
return _skill_commands
def get_skill_commands() -> Dict[str, Dict[str, Any]]:
"""Return the current skill commands mapping (scan first if empty)."""
if not _skill_commands:
scan_skill_commands()
return _skill_commands
def build_skill_invocation_message(
cmd_key: str,
user_instruction: str = "",
task_id: str | None = None,
runtime_note: str = "",
) -> Optional[str]:
"""Build the user message content for a skill slash command invocation.
Args:
cmd_key: The command key including leading slash (e.g., "/gif-search").
user_instruction: Optional text the user typed after the command.
Returns:
The formatted message string, or None if the skill wasn't found.
"""
commands = get_skill_commands()
skill_info = commands.get(cmd_key)
if not skill_info:
return None
loaded = _load_skill_payload(skill_info["skill_dir"], task_id=task_id)
if not loaded:
return f"[Failed to load skill: {skill_info['name']}]"
loaded_skill, skill_dir, skill_name = loaded
activation_note = (
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want '
"you to follow its instructions. The full skill content is loaded below.]"
)
return _build_skill_message(
loaded_skill,
skill_dir,
activation_note,
user_instruction=user_instruction,
runtime_note=runtime_note,
)
def build_preloaded_skills_prompt(
skill_identifiers: list[str],
task_id: str | None = None,
) -> tuple[str, list[str], list[str]]:
"""Load one or more skills for session-wide CLI preloading.
Returns (prompt_text, loaded_skill_names, missing_identifiers).
"""
prompt_parts: list[str] = []
loaded_names: list[str] = []
missing: list[str] = []
seen: set[str] = set()
for raw_identifier in skill_identifiers:
identifier = (raw_identifier or "").strip()
if not identifier or identifier in seen:
continue
seen.add(identifier)
loaded = _load_skill_payload(identifier, task_id=task_id)
if not loaded:
missing.append(identifier)
continue
loaded_skill, skill_dir, skill_name = loaded
activation_note = (
f'[SYSTEM: The user launched this CLI session with the "{skill_name}" skill '
"preloaded. Treat its instructions as active guidance for the duration of this "
"session unless the user overrides them.]"
)
prompt_parts.append(
_build_skill_message(
loaded_skill,
skill_dir,
activation_note,
)
)
loaded_names.append(skill_name)
return "\n\n".join(prompt_parts), loaded_names, missing