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 tranhieutt/software_development_department --skill security-auditgit clone --depth 1 https://github.com/tranhieutt/software_development_departmentWrote 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/tranhieutt/software_development_department/security-audit)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/security-audit"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/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/tranhieutt/software_development_department/security-audit"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/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 | $0.00053 | $0.02368 |
| Opus 5 | $0.00026 | $0.01184 |
| Sonnet 5 | $0.00011 | $0.00474 |
| Haiku 4.5 | $0.00005 | $0.00237 |
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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
grep -rn "exec(\|spawn(\|subprocess\|os\.system\|child_process" src/ --include="*.{js,ts,py}" | head -20 How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Auditing Workflow
Systematic security review using static analysis tools available in the codebase. Covers OWASP Top 10, secrets exposure, auth patterns, and dependency risk.
Phase 1: Reconnaissance — Map the Attack Surface
-
Identify entry points — list all routes/controllers:
grep -rn "app\.\(get\|post\|put\|delete\|patch\)\|@app\.route\|router\." src/ --include="*.{js,ts,py}" | head -60 -
Identify auth middleware — check which routes are protected:
grep -rn "auth\|middleware\|guard\|require_login\|jwt\|bearer" src/ -i --include="*.{js,ts,py}" | head -40 -
Map external dependencies — check package files for known-risky libs:
cat package.json 2>/dev/null || cat requirements.txt 2>/dev/null || cat go.mod 2>/dev/null -
Note findings — list: total endpoints found, unprotected routes, third-party auth libs.
Phase 2: Secrets & Sensitive Data Exposure
-
Scan for hardcoded secrets:
grep -rn "password\s*=\s*['\"][^'\"]\|api_key\s*=\s*['\"][^'\"]\|secret\s*=\s*['\"][^'\"]" src/ -i | grep -v ".example" | head -30 -
Scan for tokens/keys in source:
grep -rEn "(sk-|AIza|AKIA|ghp_|xox[baprs]-)[A-Za-z0-9]+" src/ | head -20 -
Check .env files are gitignored:
cat .gitignore | grep -i "\.env" ; ls -la .env* 2>/dev/null -
Check for secrets in logs:
grep -rn "console\.log.*password\|logger.*token\|print.*secret" src/ -i | head -20
Flag: any hardcoded credential or unignored .env file is a P0 finding.
Phase 3: Injection & Input Validation
-
SQL injection risk — look for string concatenation in queries:
grep -rn "query.*+\|execute.*f\"\|raw.*%s\|SELECT.*\$\{" src/ --include="*.{js,ts,py}" | head -30 -
Command injection risk — shell execution with user input:
grep -rn "exec(\|spawn(\|subprocess\|os\.system\|child_process" src/ --include="*.{js,ts,py}" | head -20
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 · 233 lines · 53 tokens per session scan A 1f6a330696d2
security-audit is a skill published in the GitHub repository tranhieutt/software_development_department (72 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 2,368 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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