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 skills/dirien/yet-another-agent-harness/security-auditnpx skills add dirien/yet-another-agent-harness --skill security-auditgit clone --depth 1 https://github.com/dirien/yet-another-agent-harnessWrote 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/dirien/yet-another-agent-harness/security-audit)<a href="https://agentmods.dev/skills/dirien/yet-another-agent-harness/security-audit"><img src="https://agentmods.dev/badge/skills/dirien/yet-another-agent-harness/security-audit.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 | $0.00077 | $0.01349 |
| Opus 5 | $0.00039 | $0.00674 |
| Sonnet 5 | $0.00015 | $0.00270 |
| Haiku 4.5 | $0.00008 | $0.00135 |
Grade A, and why
security-audit 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Audit
Investigate the codebase for security vulnerabilities across OWASP Top 10 categories, secrets exposure, supply chain risks, and language-specific patterns. Produces a scored SECURITY_AUDIT.md with prioritized remediation actions.
Core principle: Investigate, do not just grep. Read surrounding code to determine if a match is a genuine vulnerability, a false positive, or already mitigated. Only flag findings with specific file:line evidence and confirmed risk.
Prerequisite check
git --version 2>/dev/null && git rev-parse --is-inside-work-tree 2>/dev/null
Check for available security tools (optional but enhance analysis):
command -v gitleaks 2>/dev/null && echo "gitleaks: available"
command -v semgrep 2>/dev/null && echo "semgrep: available"
command -v trivy 2>/dev/null && echo "trivy: available"
command -v govulncheck 2>/dev/null && echo "govulncheck: available"
Proceed without tools — manual investigation still works. Note which tools are missing in the report.
Step 1: Scope and context
Determine what to audit and understand the application:
- Detect tech stack — scan for go.mod, package.json, pyproject.toml, Cargo.toml, *.csproj to identify languages
- Identify security-sensitive areas — search for files related to authentication, authorization, database access, API endpoints, cryptography, file handling
- Determine scope — full codebase audit, specific module, or recent changes only (based on user input)
- Read project docs — CLAUDE.md, README.md, CONTEXT.md for architectural context and known boundaries
Step 2: Automated scanning
Run available security tools before manual investigation. Tool findings guide where to focus manual review.
# Secrets in current code and git history
gitleaks detect -v 2>&1
# Static analysis (language-aware rule sets)
semgrep --config=auto --severity=ERROR . 2>&1
# Dependency vulnerabilities
trivy fs --severity HIGH,CRITICAL . 2>&1
# or: govulncheck ./... / npm audit / pip-audit / cargo audit
What ships with it
5 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.
- 6d ago First seen · 166 lines · 77 tokens per session scan A 60559eae31df
security-audit is a skill published in the GitHub repository dirien/yet-another-agent-harness (20 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 1,349 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 2026-08-30.
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