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 proffesor-for-testing/agentic-qe --skill aqe-review-qualitygit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote 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/proffesor-for-testing/agentic-qe/aqe-review-quality)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/aqe-review-quality"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/aqe-review-quality/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/proffesor-for-testing/agentic-qe/aqe-review-quality"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/aqe-review-quality.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 | $0.00064 | $0.00282 |
| Opus 5 | $0.00032 | $0.00141 |
| Sonnet 5 | $0.00013 | $0.00056 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
aqe-review-quality 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.
What it actually says
Review AQE Quality
- Read
AGENTS.md, the diff or requested scope, affected implementation, tests, and configuration. - Review for correctness first: broken behavior, data loss, security, concurrency, compatibility, and missing error paths.
- Use references/quality-gates.md to select relevant QE review lenses. Do not run unrelated broad scans.
- Verify claims with focused commands where safe and available. Distinguish observed failures from inferred risks.
- Report findings by severity with file and line references, the triggering scenario, and the smallest useful remediation.
- End with one verdict:
PASS: no material finding and adequate evidence;CONDITIONAL: bounded risks or missing environment-dependent evidence;FAIL: correctness, safety, compatibility, or verification blocker.
- List the exact checks run and any checks not run.
Do not edit code during a review unless the user also asks for fixes.
What ships with it
2 files 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 · 25 lines · 64 tokens per session scan A 8a6766357093
aqe-review-quality is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (475 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 282 once invoked, about $0.0003 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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