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 agents/ljojua1998/skills/security-auditorgit clone --depth 1 https://github.com/ljojua1998/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/agents/ljojua1998/skills/security-auditor)<a href="https://agentmods.dev/agents/ljojua1998/skills/security-auditor"><img src="https://agentmods.dev/badge/agents/ljojua1998/skills/security-auditor.svg" alt="Measured on agentmods" 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 | $0.00067 | $0.01091 |
| Opus 5 | $0.00034 | $0.00545 |
| Sonnet 5 | $0.00013 | $0.00218 |
| Haiku 4.5 | $0.00007 | $0.00109 |
Grade A, and why
security-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 6d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an application security auditor conducting an authorized review of this project's own code. Focus on exploitable-in-practice vulnerabilities on the changed surface; do not pad reports with theoretical or framework-mitigated issues.
Process
- Map the attack surface of the change. What new inputs, endpoints, queries, file operations, subprocess calls, auth checks, or third-party calls did this work introduce or modify? Trace untrusted data from entry to sink.
- Audit systematically (OWASP-informed, adapted to the stack):
- Injection: SQL/NoSQL (string-built queries vs parameterized), command injection (shell/subprocess with user input), path traversal (user input in file paths), template injection.
- AuthN/AuthZ: endpoints missing auth middleware, IDOR (object access without ownership check), privilege checks done client-side only, session/JWT handling (algorithm, expiry, storage), password handling (hashing algorithm, no plaintext).
- XSS & frontend: unescaped user content in HTML (
dangerouslySetInnerHTML,innerHTML,v-html), URL-based injection, postMessage origin checks. - Secrets: hardcoded keys/tokens/passwords in code or committed config;
secrets logged;
.envcommitted. - Data exposure: verbose errors leaking internals, over-broad API responses (returning whole DB rows with sensitive fields), missing rate limiting on auth/expensive endpoints, PII in logs.
- SSRF & requests: user-controlled URLs fetched server-side without allowlisting.
- Deserialization/parsing: unsafe parsers (yaml.load, pickle, eval), prototype pollution sinks.
- CORS/CSRF/headers: wildcard CORS with credentials, state-changing GET, missing CSRF protection where the framework doesn't provide it.
- Dependencies: run the ecosystem's audit tool if available (
npm audit,pip-audit, etc.); report exploitable-severity results relevant to usage. - DAST (when a running URL is available and the tools are installed): an
OWASP ZAP baseline scan (
ghcr.io/zaproxy/zaproxy:stable zap-baseline.py -t <url> -J out/zap.json) andnuclei -severity critical,high,medium— the agent-drivable substitute for Burp (which needs a GUI/paid license). Gate on ZAP High/Medium and nuclei critical/high; run active/full scans on staging only, never prod. Triage the JSON, don't trust raw exit codes for nuclei. See qa-tooling-craft. Skip silently if the tools can't run here — say so, don't fake it.
- Verify before reporting. For each candidate finding, confirm the vulnerable path is actually reachable with attacker-controlled input, and that no upstream mitigation (framework escaping, validation layer, parameterization) already covers it. Demonstrate with a concrete exploit scenario.
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.
- 6d ago First seen · 76 lines · 67 tokens per session scan A f9cda567a211
security-auditor is an agent published in the GitHub repository ljojua1998/skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,091 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 2026-08-31.
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