Borrowing it
Nothing to install: this file belongs to pankaj28843/docs-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pankaj28843/docs-mcp-server/main/.agents/skills/clean-refactor/SKILL.mdgit clone --depth 1 https://github.com/pankaj28843/docs-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pankaj28843/docs-mcp-server/clean-refactor)<a href="https://agentmods.dev/skills/pankaj28843/docs-mcp-server/clean-refactor"><img src="https://agentmods.dev/badge/skills/pankaj28843/docs-mcp-server/clean-refactor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pankaj28843/docs-mcp-server/clean-refactor"><img src="https://agentmods.dev/badge/skills/pankaj28843/docs-mcp-server/clean-refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00136 |
| Opus 5.5 | $0.00006 | $0.00054 |
| Sonnet 5.5 | $0.00003 | $0.00027 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
clean-refactor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Principles
- Zero behavior changes - only structural improvements
- Tests must pass before AND after
- Minimize rename/reordering churn unless clarity win is undeniable
Steps
- Run baseline tests:
timeout 120 uv run pytest -m unit --no-cov - Apply structural changes (renames, moves, simplifications)
- Run tests again - must be identical pass/fail
- Run
uv run ruff format . && uv run ruff check --fix . - Report what changed and why it's cleaner
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 17 lines · 15 tokens per session scan A a0ac71fb7108
clean-refactor is a skill published in the GitHub repository pankaj28843/docs-mcp-server (2 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 136 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
nightly-audit-engineer-ops
A workflow for reviewing code for reproducible quality problems and recording the evidence behind each finding. It follows data through inputs, permissions, storage, asynchronous work, and recovery, then suggests the smallest authorized fix.
change-review
Use when reviewing a set of changes before they merge — a PR, a branch diff, or the working-tree changes you just made — in a Repowise-indexed codebase (.repowise/ directory exists). Activates for "review this PR", "is this safe to merge", "what's the blast radius of these changes", "did I miss anything", or "what…
openclaw-github-dedupe
Investigate a cluster of GitHub issues and PRs, determine canonical candidates, post duplicate/related status, preserve contributor credit, and execute cleanup actions. Supports autonomous mode for provided-link-only closeout, merge/fix follow-through, changelog, and post-merge issue/PR cleanup.
docs-audit
Audit one section of the docs content against the code, and report what is wrong, stale, fragile, off-voice, or missing.
pr
Analyze changes, detect scope issues, and create a well-structured PR.
review-loop
Run the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review", "independent review", "get this verified"…