Maintain a deterministic recurring skill ecosystem housekeeping audit covering skill content quality, grouping/taxonomy drift, size, waivers, baselines, and local-only GitHub payloads.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add vamseeachanta/workspace-hub --skill periodic-skill-ecosystem-housekeeping-audit --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Periodic Skill Ecosystem Housekeeping Audit?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/vamseeachanta-periodic-skill-ecosystem-housekeeping-audit)More formats (shields.io, HTML) on the badges page.
---
name: periodic-skill-ecosystem-housekeeping-audit
version: 1.0.0
category: coordination
description: Maintain a deterministic recurring skill ecosystem housekeeping audit covering skill content quality, grouping/taxonomy drift, size, waivers, baselines, and local-only GitHub payloads.
tags: [skills, audit, housekeeping, taxonomy, scheduled-tasks, github-issues, tdd, adversarial-review]
---
# Periodic Skill Ecosystem Housekeeping Audit
## When to Use
Use this when creating, maintaining, or reviewing a recurring audit for the skill ecosystem, especially when the task is to identify improvement areas in skill content, grouping/category structure, duplicate names, alias drift, oversized skills, missing required sections, or stale/low-quality skill metadata.
This skill complements `coordination/cross-agent-skill-audit`: that skill checks whether skills are visible across Hermes/Codex/Codex/Gemini; this one checks whether the skills themselves are healthy and whether the audit can run safely as housekeeping.
## Core Pattern
1. **Keep the scheduled path singular**
- Prefer extending the existing scheduled housekeeping/curation job over adding a parallel cron path.
- In workspace-hub, the recurring path is the skills curation wrapper plus its schedule documentation.
- The audit should produce deterministic local artifacts; avoid auto-posting to GitHub unless the plan explicitly asks for writeful behavior.
2. **Make the schema append-only and stable**
- Keep existing finding keys stable across versions.
- Add new optional sections rather than renaming/removing old ones.
- Include a policy/version contract in the JSON output.
- Include source metadata such as `source_id: local-skill-filesystem` so future readers can distinguish local inventory from usage telemetry or remote APIs.
3. **Separate finding families**
- Content quality: missing required sections, weak metadata, empty/placeholder sections, low-actionability descriptions.
- Grouping/taxonomy: duplicate leaf names, alias drift, category naming inconsistencies, category collisions.
- Size/maintainability: oversized `SKILL.md`, too many linked files, excessive category depth, too-large markdown sections.
- Follow-up candidates: issue-worthy actionable items, not every low-confidence unresolved finding.
4. **Baseline and waiver all new finding families**
- Route new v2 findings through the same baseline/waiver path as older findings.
- Do not keep a parallel unwaived/unbaselined list for new families.
- Report suppressed findings separately.
- When upgrading v1 -> v2, allow compatible v1 baseline artifacts if the policy declares append-only compatibility. Otherwise the first v2 run can falsely mark every legacy finding as new.
5. **Make Markdown actionable**
- Show summary counts for all finding families.
- In detailed sections, prioritize new/high-confidence/unresolved findings and follow-up candidates.
- Avoid flooding the Markdown report with low-confidence carry-forward noise.
- If a local GitHub payload is generated, make it a payload file only; do not post automatically in the audit script.
6. **Use TDD and adversarial review for audit changes**
- Start with RED tests for the schema and the new finding families.
- Add regression tests for each adversarial review blocker before fixing it.
- Run existing v1 tests and cron wrapper tests so a v2 audit does not regress older contracts.
## Regression Tests to Add
For a v2 housekeeping audit, include tests for:
- Stable optional JSON sections even when there are no findings.
- Policy-driven grouping/content/size signals.
- Local-only GitHub payload generation.
- No writeful `.Codex/state/skill-usage-report` or equivalent usage telemetry side effects.
- V2 findings are baseline-aware and can be carried forward.
- V2 findings can be waived and appear in `suppressed_findings`.
- Markdown report includes v2 summary counts and actionable v2 sections.
- Inventory records include a stable `source_id`.
- Alias-drift detector avoids false positives when only one canonical spelling exists.
- v1 -> v2 baseline continuity works when append-only compatibility is declared.
- Slash-based alias families such as `business/admin` are not compared against unrelated top-level categories such as `business`.
## Validation Checklist
Before commit/closeout:
```bash
uv run pytest tests/cron/test_skills_curation.py tests/skills/test_weekly_skills_audit.py tests/skills/test_weekly_skills_audit_v2.py -q
uv run --no-project python -m py_compile scripts/skills/weekly_skills_audit.py
uv run --no-project python scripts/cron/validate-schedule.py
bash scripts/cron/skills-curation.sh --dry-run
git diff --check -- config/skills/weekly-audit-policy.yaml docs/ops/scheduled-tasks.md scripts/skills/weekly_skills_audit.py tests/skills/test_weekly_skills_audit_v2.py
```
Also run a manual redirected artifact proof in a temp output directory and verify:
- JSON artifact exists.
- Markdown artifact exists.
- local `github-update-payload.md` exists if requested.
- audit exits with `0 errors`.
- no usage-report/state file is newly dirtied.
## Adversarial Review Prompts
Ask reviewers to specifically look for:
- New findings bypassing baseline or waiver logic.
- Markdown output omitting new finding families.
- Version upgrades breaking carry-forward semantics.
- Alias/grouping detectors mixing slash-family aliases with unrelated top-level categories.
- The audit script accidentally becoming writeful against GitHub or `.Codex/state`.
## Commit Hygiene Pitfall
Raw review artifacts often contain trailing whitespace or extra blank lines at EOF. If committing archived adversarial review artifacts under `scripts/review/results/`, normalize them before commit:
```python
from pathlib import Path
for p in Path('scripts/review/results').glob('*code-ISSUE-*.md'):
lines = p.read_text(encoding='utf-8', errors='replace').splitlines()
p.write_text('\n'.join(line.rstrip() for line in lines).rstrip() + '\n', encoding='utf-8')
```
Then run:
```bash
git diff --cached --check
```
Keep unrelated provider/state/report dirt unstaged when closing the issue.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!