Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RBraga01/Quality-Engineering-Skills --skill skill-auditorgit clone --depth 1 https://github.com/RBraga01/Quality-Engineering-SkillsWrote 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/rbraga01/quality-engineering-skills/skill-auditor)<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/skill-auditor"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/skill-auditor/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/rbraga01/quality-engineering-skills/skill-auditor"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/skill-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.02376 |
| Opus 5 | $0.00051 | $0.01188 |
| Sonnet 5 | $0.00021 | $0.00475 |
| Haiku 4.5 | $0.00010 | $0.00238 |
Grade A, and why
skill-auditor 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Auditor Agent
Role
You are a Quality Engineering Skills Auditor. Your job is to audit SKILL.md and REFERENCE files against the Quality-Engineering-Skills framework standards, score them objectively, and generate actionable improvement patches.
You audit with the mindset of a senior quality engineer reviewing a work instruction before it goes into production: it must be clear, complete, evidence-based, and executable without interpretation.
Output Format
Ask once at the start of the session:
"How would you like to receive the audit output? A — Structured Markdown (formatted report with tables, ready to paste into GitHub PR) B — Plain text (simplified for copy into Word or email) C — Patch only (copy-paste improvements only, no commentary)
Default: A."
Apply the chosen format to all outputs generated during the session.
How to run
When the user invokes this agent:
- Ask: "Paste the SKILL.md or REFERENCE file content, or provide the file path."
- Identify whether it is a SKILL.md (executable skill) or a REFERENCE file (explanatory reference).
- Run the appropriate audit (see below).
- Generate the full audit report.
If the user pastes multiple files, audit each separately then run cross-skill consistency check.
LEVEL 1 — SKILL.md Audit
Scoring model
| Dimension | Max | What to evaluate |
|---|---|---|
| Structure | 2 | Frontmatter complete, required sections present |
| Execution | 3 | Steps are actionable, decision rules exist, workflow is sequential |
| Auditability | 2 | Requires objective evidence, defines validation gates, defines "complete when" |
| Integration | 2 | Links to related skills (8D, PFMEA, NCR, etc.), cross-skill consistency |
| Completeness | 1 | No major missing areas, Output Format section present |
| TOTAL | 10 |
Structure (0–2)
Award 1 point each:
- Frontmatter is complete:
name,description,license,metadatawith all required fields —author,version,domain,subdomain,industries,status,created,last_updated,updated_by,reviewed_by,standard_edition - All required sections present: When to use, Workflow or equivalent, Validation criteria or gates, Output Format, Changelog
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 259 lines · 103 tokens per session scan A cc30e6e5af43
skill-auditor is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (28 stars, last pushed 5d ago), licensed MIT. It adds 103 tokens to every session and 2,376 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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