refactor(skills): clean up bundled skill set + add environments: relevance gate (#39028)

* refactor(skills): clean up bundled skill set + add environments: relevance gate

Bundled skills cleanup pass plus a new offer-time relevance gate.

Removals (redundant / dead):
- spotify (covered by the spotify plugin's 7 native tools)
- linear (covered by `hermes mcp install linear`)
- kanban-codex-lane, debugging-hermes-tui-commands
- empty category markers: diagramming, gifs, inference-sh,
  mlops/training, mlops/vector-databases
- domain (stale orphan dup of optional/research/domain-intel)

Bundled -> optional:
- baoyu-article-illustrator, baoyu-comic, creative-ideation, pixel-art
- dspy, subagent-driven-development
- minecraft-modpack-server, pokemon-player
- hermes-s6-container-supervision (-> optional/devops)

Consolidation:
- webhook-subscriptions + native-mcp folded into the hermes-agent skill
  as references/webhooks.md + references/native-mcp.md with SKILL.md pointers
- writing-plans merged into plan (v2.0.0); related_skills + prose refs updated

New: environments: frontmatter gate (agent/skill_utils.skill_matches_environment)
- Offer-time relevance filter (kanban / docker / s6), parallel to platforms:.
- Wired into the 3 OFFER surfaces only (prompt_builder skills index,
  skills_tool.list_skills, skill_commands slash discovery).
- Explicit loads (skill_view, --skills preload) intentionally BYPASS it, so
  load-bearing force-loads like the kanban dispatcher's `--skills kanban-worker`
  always resolve. Verified via E2E.
- kanban-orchestrator/kanban-worker tagged environments: [kanban];
  hermes-s6-container-supervision tagged environments: [s6] + platforms: [linux].

Validation: 8/8 E2E gating assertions (incl force-load invariant);
442 targeted tests green (agent, skills_tool, skill_commands, kanban worker).

* docs: regenerate skill catalogs + pages for the bundled cleanup

Regenerated per-skill doc pages, catalogs, and sidebar to match the skill
moves/removals in the parent commit. Moved skills' pages relocate
bundled -> optional (history preserved); removed skills' pages deleted;
edited skills' pages refreshed (hermes-agent now embeds the webhook +
native-mcp reference pointers). zh-Hans i18n mirror: stale bundled pages
and catalog rows for moved/removed skills pruned (new optional translations
land via the translation pipeline).

* test: drop regression test for removed kanban-codex-lane skill

The kanban-codex-lane skill was removed in the bundled-skills cleanup;
its dedicated regression test read the now-deleted SKILL.md and failed
with FileNotFoundError on CI shard 6.
This commit is contained in:
Teknium
2026-06-04 06:11:22 -07:00
committed by GitHub
parent c136eb4de1
commit 38d3c49aaf
163 changed files with 842 additions and 7621 deletions
+100
View File
@@ -169,6 +169,106 @@ def skill_matches_platform(frontmatter: Dict[str, Any]) -> bool:
return False
# ── Environment matching ──────────────────────────────────────────────────
# Recognized environment tags and how each is detected. An environment tag is
# a *relevance* gate, not a hard-compatibility gate (that is what ``platforms:``
# is for). A skill tagged for an environment it isn't relevant to is hidden from
# the skills index / offer surfaces so it does not add noise for users who will
# never need it — but it can ALWAYS still be loaded explicitly (``skill_view``,
# ``--skills``), because an explicit request is explicit consent.
#
# Detection is cached for the process lifetime via ``_ENV_DETECT_CACHE``.
_KNOWN_ENVIRONMENTS = frozenset({"kanban", "docker", "s6"})
_ENV_DETECT_CACHE: Dict[str, bool] = {}
def _detect_environment(env: str) -> bool:
"""Return True when the named runtime environment is currently active.
Cached per process. Unknown env names return True (fail-open: never hide a
skill because of a tag we don't understand).
"""
if env in _ENV_DETECT_CACHE:
return _ENV_DETECT_CACHE[env]
result = True
if env == "kanban":
# Kanban is "active" either as a dispatcher-spawned worker (the
# dispatcher sets ``HERMES_KANBAN_TASK`` / ``HERMES_KANBAN_BOARD`` in the
# worker env) or as an orchestrator profile that has opted into the
# kanban toolset. Mirror the same signals the kanban tools themselves
# gate on (``tools/kanban_tools.py``) so the offer filter agrees with
# tool availability.
if os.getenv("HERMES_KANBAN_TASK") or os.getenv("HERMES_KANBAN_BOARD"):
result = True
else:
try:
from tools.kanban_tools import _profile_has_kanban_toolset
result = bool(_profile_has_kanban_toolset())
except Exception:
result = False
elif env == "docker":
try:
from hermes_constants import is_container
result = is_container()
except Exception:
result = False
elif env == "s6":
# The Hermes Docker image runs s6-overlay as PID 1 (/init). s6 plants
# its runtime scaffolding under /run/s6 and ships its admin tree under
# /package/admin/s6-overlay. Either marker means we're inside an
# s6-supervised container.
result = os.path.isdir("/run/s6") or os.path.isdir(
"/package/admin/s6-overlay"
)
_ENV_DETECT_CACHE[env] = result
return result
def skill_matches_environment(frontmatter: Dict[str, Any]) -> bool:
"""Return True when the skill is relevant to the current runtime environment.
Skills may declare an ``environments`` list in their YAML frontmatter::
environments: [kanban] # only relevant when kanban is active
environments: [s6] # only relevant inside the s6 Docker image
environments: [docker] # only relevant inside any container
If the field is absent or empty the skill is relevant in **all**
environments (backward-compatible default).
This is an OFFER-time filter: it controls whether a skill shows up in the
skills index / autocomplete / slash-command list. It is intentionally NOT
enforced by ``skill_view`` or ``--skills`` preloading — an explicit load is
explicit consent, and load-bearing force-loads (e.g. the kanban dispatcher
injecting ``--skills kanban-worker``) must always succeed regardless of how
the offer surfaces filter the skill.
A skill matches when ANY of its declared environments is currently active
(OR semantics, mirroring ``platforms``). Unknown env tags fail open.
"""
environments = frontmatter.get("environments")
if not environments:
return True
if not isinstance(environments, list):
environments = [environments]
for env in environments:
normalized = str(env).lower().strip()
if not normalized:
continue
if normalized not in _KNOWN_ENVIRONMENTS:
# Tag we don't understand — don't hide the skill over it.
return True
if _detect_environment(normalized):
return True
return False
# ── Disabled skills ───────────────────────────────────────────────────────