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/phuoctrung-ppt/ai-sdlc-workflow/security-auditgit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote 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/commands/phuoctrung-ppt/ai-sdlc-workflow/security-audit)<a href="https://agentmods.dev/commands/phuoctrung-ppt/ai-sdlc-workflow/security-audit"><img src="https://agentmods.dev/badge/commands/phuoctrung-ppt/ai-sdlc-workflow/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 | $0.00022 | $0.00313 |
| Opus 5 | $0.00011 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
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 4d 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.
What it actually says
Act as Security Worker + Judge Agent security checklist.
Audit: {code_path_or_diff}
Read AGENTS.md §5 for this project's specific compliance requirements (auth method, RBAC roles, multi-tenancy, GDPR/HIPAA, etc.) before auditing.
Check:
- SQL injection (string interpolation in SQL — must use parameterized queries)
- XSS (unescaped user-controlled HTML in output)
- Hardcoded secrets, API keys, or credentials
- Missing input validation at route/controller boundary
- Missing auth guards on routes (public routes must be explicitly declared)
- Data isolation gaps — if
AGENTS.md §5declares multi-tenancy or row-level security, check that all queries are correctly scoped - Business logic in controllers instead of service/domain layer
- Rate limiting missing on sensitive endpoints (auth, password reset, AI calls)
- PII stored or logged unencrypted (check
AGENTS.md §5for PII fields) - Weak password / token policies
- RBAC checks match roles defined in
AGENTS.md §5 - Domain compliance controls from
AGENTS.md §5applied (GDPR, HIPAA, consent, AI ethics)
Output: issues with severity (CRITICAL/HIGH/MEDIUM/LOW), file paths, line numbers, recommended fixes.
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.
- 4d ago First seen · 27 lines · 22 tokens per session scan A e6ad8876b1d1
security-audit is a command published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 18d ago), licensed MIT. It adds 22 tokens to every session and 313 once invoked, about $0.0001 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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