hermes-agent/agent/skill_utils.py

"""Lightweight skill metadata utilities shared by prompt_builder and skills_tool.

This module intentionally avoids importing the tool registry, CLI config, or any
heavy dependency chain.  It is safe to import at module level without triggering
tool registration or provider resolution.
"""

import logging
import os
import re
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Tuple

from hermes_constants import get_hermes_home

logger = logging.getLogger(__name__)

# ── Platform mapping ──────────────────────────────────────────────────────

PLATFORM_MAP = {
    "macos": "darwin",
    "linux": "linux",
    "windows": "win32",
}

EXCLUDED_SKILL_DIRS = frozenset((".git", ".github", ".hub"))

# ── Lazy YAML loader ─────────────────────────────────────────────────────

_yaml_load_fn = None


def yaml_load(content: str):
    """Parse YAML with lazy import and CSafeLoader preference."""
    global _yaml_load_fn
    if _yaml_load_fn is None:
        import yaml

        loader = getattr(yaml, "CSafeLoader", None) or yaml.SafeLoader

        def _load(value: str):
            return yaml.load(value, Loader=loader)

        _yaml_load_fn = _load
    return _yaml_load_fn(content)


# ── Frontmatter parsing ──────────────────────────────────────────────────


def parse_frontmatter(content: str) -> Tuple[Dict[str, Any], str]:
    """Parse YAML frontmatter from a markdown string.

    Uses yaml with CSafeLoader for full YAML support (nested metadata, lists)
    with a fallback to simple key:value splitting for robustness.

    Returns:
        (frontmatter_dict, remaining_body)
    """
    frontmatter: Dict[str, Any] = {}
    body = content

    if not content.startswith("---"):
        return frontmatter, body

    end_match = re.search(r"\n---\s*\n", content[3:])
    if not end_match:
        return frontmatter, body

    yaml_content = content[3 : end_match.start() + 3]
    body = content[end_match.end() + 3 :]

    try:
        parsed = yaml_load(yaml_content)
        if isinstance(parsed, dict):
            frontmatter = parsed
    except Exception:
        # Fallback: simple key:value parsing for malformed YAML
        for line in yaml_content.strip().split("\n"):
            if ":" not in line:
                continue
            key, value = line.split(":", 1)
            frontmatter[key.strip()] = value.strip()

    return frontmatter, body


# ── Platform matching ─────────────────────────────────────────────────────


def skill_matches_platform(frontmatter: Dict[str, Any]) -> bool:
    """Return True when the skill is compatible with the current OS.

    Skills declare platform requirements via a top-level ``platforms`` list
    in their YAML frontmatter::

        platforms: [macos]          # macOS only
        platforms: [macos, linux]   # macOS and Linux

    If the field is absent or empty the skill is compatible with **all**
    platforms (backward-compatible default).
    """
    platforms = frontmatter.get("platforms")
    if not platforms:
        return True
    if not isinstance(platforms, list):
        platforms = [platforms]
    current = sys.platform
    for platform in platforms:
        normalized = str(platform).lower().strip()
        mapped = PLATFORM_MAP.get(normalized, normalized)
        if current.startswith(mapped):
            return True
    return False


# ── Disabled skills ───────────────────────────────────────────────────────


def get_disabled_skill_names() -> Set[str]:
    """Read disabled skill names from config.yaml.

    Resolves platform from ``HERMES_PLATFORM`` env var, falls back to
    the global disabled list.  Reads the config file directly (no CLI
    config imports) to stay lightweight.
    """
    config_path = get_hermes_home() / "config.yaml"
    if not config_path.exists():
        return set()
    try:
        parsed = yaml_load(config_path.read_text(encoding="utf-8"))
    except Exception as e:
        logger.debug("Could not read skill config %s: %s", config_path, e)
        return set()
    if not isinstance(parsed, dict):
        return set()

    skills_cfg = parsed.get("skills")
    if not isinstance(skills_cfg, dict):
        return set()

    resolved_platform = os.getenv("HERMES_PLATFORM")
    if resolved_platform:
        platform_disabled = (skills_cfg.get("platform_disabled") or {}).get(
            resolved_platform
        )
        if platform_disabled is not None:
            return _normalize_string_set(platform_disabled)
    return _normalize_string_set(skills_cfg.get("disabled"))


def _normalize_string_set(values) -> Set[str]:
    if values is None:
        return set()
    if isinstance(values, str):
        values = [values]
    return {str(v).strip() for v in values if str(v).strip()}


# ── Condition extraction ──────────────────────────────────────────────────


def extract_skill_conditions(frontmatter: Dict[str, Any]) -> Dict[str, List]:
    """Extract conditional activation fields from parsed frontmatter."""
    hermes = (frontmatter.get("metadata") or {}).get("hermes") or {}
    return {
        "fallback_for_toolsets": hermes.get("fallback_for_toolsets", []),
        "requires_toolsets": hermes.get("requires_toolsets", []),
        "fallback_for_tools": hermes.get("fallback_for_tools", []),
        "requires_tools": hermes.get("requires_tools", []),
    }


# ── Description extraction ────────────────────────────────────────────────


def extract_skill_description(frontmatter: Dict[str, Any]) -> str:
    """Extract a truncated description from parsed frontmatter."""
    raw_desc = frontmatter.get("description", "")
    if not raw_desc:
        return ""
    desc = str(raw_desc).strip().strip("'\"")
    if len(desc) > 60:
        return desc[:57] + "..."
    return desc


# ── File iteration ────────────────────────────────────────────────────────


def iter_skill_index_files(skills_dir: Path, filename: str):
    """Walk skills_dir yielding sorted paths matching *filename*.

    Excludes ``.git``, ``.github``, ``.hub`` directories.
    """
    matches = []
    for root, dirs, files in os.walk(skills_dir):
        dirs[:] = [d for d in dirs if d not in EXCLUDED_SKILL_DIRS]
        if filename in files:
            matches.append(Path(root) / filename)
    for path in sorted(matches, key=lambda p: str(p.relative_to(skills_dir))):
        yield path