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 rjmurillo/ai-agents --skill pr-quality-securitygit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/pr-quality-security)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/pr-quality-security"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/pr-quality-security/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/rjmurillo/ai-agents/pr-quality-security"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/pr-quality-security.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 | $0.00089 | $0.01167 |
| Opus 5 | $0.00044 | $0.00583 |
| Sonnet 5 | $0.00018 | $0.00233 |
| Haiku 4.5 | $0.00009 | $0.00117 |
Grade A, and why
pr-quality-security 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 2d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Quality Gate: Security
Run the security axis of the quality gate against your working changes, before you push, using the same criteria CI will apply.
Migrated from the pr-quality/security command under ADR-064, which makes skills the single user-invocable surface and renames the namespaced sub-command pr-quality/security to pr-quality-security. The command file is gone, so its path is named here in plain text rather than as a citation to something a reader could open.
Triggers
security review my changes, run the security gate, check this diff for vulnerabilities, pr-quality security
Arguments
Base branch: $ARGUMENTS
If $ARGUMENTS names a branch, diff against it. Otherwise default to main.
Criteria
Apply the criteria from: @.github/prompts/pr-quality-gate-security.md
That file is the canonical axis definition and the same one CI loads. Do not paraphrase it from memory: read it, then judge the diff against what it says.
Process
- Run
git branch --show-currentto name the current branch. - Resolve the base branch from
$ARGUMENTS, defaulting tomain. - Run
git diff "<base_branch>" --name-onlyto list the changed files. - Run
git diff "<base_branch>"to read the full diff. - Judge the diff against every criterion in the axis file. Findings are additive: a criterion that fails does not end the pass, because the author needs the whole list in one round rather than one finding per round.
- Emit the verdict block, then the JSON block.
What this axis looks for
This axis reads the diff for injected input reaching a sink, a credential or token in the diff, a widened authorization boundary, a path built from user data, and a dependency added without provenance.
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.
- 2d ago First seen · 102 lines · 89 tokens per session scan A cb5751758033
pr-quality-security is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 1,167 once invoked, about $0.0004 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 2026-09-08.
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