Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/afaizalam2003/Master-claude-skillnpx agentmods add commands/afaizalam2003/master-claude-skill/plugin-auditWrote 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/commands/afaizalam2003/master-claude-skill/plugin-audit)<a href="https://agentmods.dev/commands/afaizalam2003/master-claude-skill/plugin-audit"><img src="https://agentmods.dev/badge/commands/afaizalam2003/master-claude-skill/plugin-audit/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/commands/afaizalam2003/master-claude-skill/plugin-audit"><img src="https://agentmods.dev/badge/commands/afaizalam2003/master-claude-skill/plugin-audit.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 | $0.00014 | $0.01539 |
| Opus 5.5 | $0.00006 | $0.00616 |
| Sonnet 5.5 | $0.00003 | $0.00308 |
| Haiku 4.5 | $0.00001 | $0.00154 |
Grade A, and why
plugin-audit 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.
This is a copy
100% identical to plugin-audit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run the comprehensive plugin audit pipeline on the skill at $ARGUMENTS. If no argument provided, ask the user for the skill path.
Execute all 8 phases sequentially. Auto-fix non-critical issues. Only prompt the user for critical decisions (external dependencies, security findings, breaking changes).
Phase 1: Discovery
- Verify
$ARGUMENTSexists and containsSKILL.md. If not, error and stop. - Read
SKILL.mdfrontmatter — extractname,description,Category,Tier. - Detect components:
scripts/*.py→ Python tools (count them)references/*.md→ reference docs (count them)assets/→ templates/samplesexpected_outputs/→ test fixturesagents/*.md→ embedded agentsskills/*/SKILL.md→ sub-skills (compound skill).claude-plugin/plugin.json→ standalone pluginsettings.json→ command registrations
- Detect domain from path (
engineering/,product-team/,marketing-skill/, etc.) - Search
commands/for a.mdfile matching the skill name. - Display discovery summary.
Phase 2: Structure Validation
Run:
python3 engineering/skill-tester/scripts/skill_validator.py $ARGUMENTS --json
Parse JSON. If score < 75:
- Auto-fix missing frontmatter fields, missing section headings, missing directories.
- Re-run. If still < 75, mark as FAIL but continue collecting results.
Phase 3: Quality Scoring
Run:
python3 engineering/skill-tester/scripts/quality_scorer.py $ARGUMENTS --detailed --json
Parse JSON. If score < 60, report improvement roadmap items.
Phase 4: Script Testing
If $ARGUMENTS/scripts/ contains .py files, run:
python3 engineering/skill-tester/scripts/script_tester.py $ARGUMENTS --json --verbose
All scripts must PASS. If any script uses external imports, ask the user whether the dependency is acceptable.
Phase 5: Security Audit
Run:
python3 engineering/skill-security-auditor/scripts/skill_security_auditor.py $ARGUMENTS --strict --json
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 · 154 lines · 14 tokens per session scan A cd656f6c9fe7
plugin-audit is a command published in the GitHub repository afaizalam2003/Master-claude-skill (2 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 1,539 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to plugin-audit, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
merge
Finish a PR properly: every check green, every review addressed — human and bot — then merge and clean up.
pr
Prepare and open a pull request the senior way: gate, template, scrubbed, everything visible.
spec
Spec-first design: a gap-closing interview that produces a complete spec, with a quality controller that blocks until every section is answered and every question resolved.
backlog
The project layer: milestones, epics, and user stories with refusing controllers — spec-seeded, sprint-ready.
plan
Turn an approved spec into an implementation plan an engineer with zero context could execute — with a quality controller that blocks placeholders and hollow tasks.
tdd
Test-driven development with tests that actually catch breaks: red before green, name the break each test catches, and the mutation check before done.