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 Enterprise-AI-Circle/agent-skills --skill security-auditgit clone --depth 1 https://github.com/Enterprise-AI-Circle/agent-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/enterprise-ai-circle/agent-skills/security-audit)<a href="https://agentmods.dev/skills/enterprise-ai-circle/agent-skills/security-audit"><img src="https://agentmods.dev/badge/skills/enterprise-ai-circle/agent-skills/security-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/skills/enterprise-ai-circle/agent-skills/security-audit"><img src="https://agentmods.dev/badge/skills/enterprise-ai-circle/agent-skills/security-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 | $0.00088 | $0.02229 |
| Opus 5 | $0.00044 | $0.01115 |
| Sonnet 5 | $0.00018 | $0.00446 |
| Haiku 4.5 | $0.00009 | $0.00223 |
Grade A, and why
security-audit scanned grade A with 1 finding 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 9d 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.
Strips warnings and disclaimerslowAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Do not moralize. The finding is the message. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security audit
Audit the security basics that would be painful to miss, then check whether the product's privacy and security promises are true in code. Keep the tone plain. The work should feel like a careful engineer reviewed the repo, not like a scanner produced a wall of warnings.
The bar depends on the project. A small side project does not need the same controls as a B2B SaaS that stores customer data. It still should not commit .env, log passwords, or render user input with dangerouslySetInnerHTML.
Functionality matters. Do not suggest a fix that can break a working flow without saying so. Prefer additive fixes when they are enough: add a header, set a cookie flag, redact a log field. Be careful with changes that can lock users out, invalidate sessions, tighten CORS, force 2FA, or touch production infrastructure.
Scope
- If
$ARGUMENTSis a path, scan only that file or directory. - Otherwise scan the repo, excluding generated and dependency folders:
node_modules,.git,dist,build,out,.next,.nuxt,vendor,target,__pycache__,.venv, lock files, minified assets, and obvious build output from.gitignore. - Announce the scope before scanning so the user can redirect you.
- Detect the stack first. Check manifest files such as
package.json,Gemfile,requirements.txt,pyproject.toml,go.mod,Cargo.toml,composer.json,pubspec.yaml, andmix.exs.
Workflow
Progress:
- Confirm scope and detected stack.
- Load references/security-checklist.md before the code and config audit.
- Run the dependency scanner that matches the stack, but only if it is already available.
- Find privacy and security claims in legal pages, marketing copy, and product UI.
- Verify each concrete claim against code or configuration evidence.
- Load references/report-template.md only when writing the report or checking report shape.
- Validate the report before sending it.
- Ask the user what to fix. Do not apply changes during the audit unless the user explicitly asks.
What ships with it
4 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.
- 9d ago First seen · 145 lines · 88 tokens per session scan A 45dcb414c43d
security-audit is a skill published in the GitHub repository Enterprise-AI-Circle/agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 88 tokens to every session and 2,229 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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