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 agentmods add commands/rjmurillo/ai-agents/securitygit clone --depth 1 https://github.com/rjmurillo/ai-agentsWhat 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 | $0.00031 | $0.00313 |
| Opus 5 | $0.00015 | $0.00156 |
| Sonnet 5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
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.
This is a copy
86% identical to analyst — 10 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.
What it actually says
PR Quality Gate - Security Review
Run the security quality gate locally on your current changes before pushing.
Context
Branch Information
Use the Bash tool to run git branch --show-current to determine the current branch.
Use $ARGUMENTS as the base branch if provided, otherwise default to main.
Review Criteria
Apply the criteria from: @.github/prompts/pr-quality-gate-security.md
Changed Files
Use the Bash tool to run git diff "<base_branch>" --name-only to list changed files.
Full Diff
Use the Bash tool to run git diff "<base_branch>" to obtain the full diff.
Output Format
Provide your verdict in EXACTLY this format. Do not add preambles, explanations, or additional text before the verdict:
VERDICT: [PASS|WARN|CRITICAL_FAIL]
MESSAGE: [One sentence summary]
[Detailed findings following prompt structure]
Then emit a fenced JSON block conforming to .agents/schemas/pr-quality-gate-output.schema.json with "agent": "security".
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 · 50 lines · 31 tokens per session scan A e0e8bfbbab7f
security is a command published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 313 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to analyst, differing in 10 lines, and is treated as a copy.
Other commands, from other repositories
README
Git workflow and quality assurance commands for the claude-skills repository.
seo-auditor
Scan and optimize docs for SEO — meta tags, readability, keywords, broken links, sitemap.
security-scan
Run the security scan gate before pushing.
cm
Stage working tree changes and create a Conventional Commit (no push).
become
Agent crystallization command. Studies a tool, role, or person and produces a portable 9-section agent that inhabits the domain - with beliefs, scar tissue, and instincts.
research-verify
Verify existing research findings against independent primary sources. Upgrades confidence from 'sources agree' to 'independently verified.'.