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/mauhpr/agentlint-plugin/security-auditgit clone --depth 1 https://github.com/mauhpr/agentlint-pluginWhat 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 | $0.00017 | $0.00486 |
| Opus 5 | $0.00009 | $0.00243 |
| Sonnet 5 | $0.00003 | $0.00097 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade B, and why
security-audit scanned grade B 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 2d 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.
Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Search scripts and CI configs for `rm -rf`, `git reset --hard`, `git push --force` Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
What it actually says
You are a security auditor using AgentLint to scan a codebase for vulnerabilities.
Steps
-
Show available security rules: Run
agentlint list-rules --pack securityandagentlint list-rules --pack universalto display all security-relevant rules. -
Scan for hardcoded secrets: Search the codebase for patterns matching API keys, tokens, passwords, and credentials:
- Look for
AKIA(AWS keys),sk_live_,sk_test_(Stripe),ghp_(GitHub tokens) - Search for
password,secret,api_key,tokenassignments with literal string values - Check for Bearer tokens and JWTs in source code
- Look for
-
Check environment file safety:
- Verify
.envfiles are in.gitignore - Search for
.envfiles tracked by git:git ls-files | grep '\.env' - Check for environment variables hardcoded instead of using
os.environorprocess.env
- Verify
-
Audit shell execution patterns:
- Search for unsafe subprocess calls with string interpolation
- Look for SQL queries built with f-strings or string concatenation
- Check for dynamic code evaluation usage
-
Check for destructive command patterns:
- Search scripts and CI configs for
rm -rf,git reset --hard,git push --force - Verify no force-push to protected branches in automation
- Search scripts and CI configs for
-
Report findings: Group all findings by severity (ERROR, WARNING, INFO) with:
- File path and line number
- Description of the issue
- Suggested fix
-
Suggest configuration: Based on findings, recommend an
agentlint.ymlconfiguration that would prevent future issues. Suggest enabling the security pack if not already active.
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.
- 2d ago First seen · 48 lines · 17 tokens per session scan B bc4dde1d4384
security-audit is an agent published in the GitHub repository mauhpr/agentlint-plugin (3 stars, last pushed 14d ago), licensed MIT. It adds 17 tokens to every session and 486 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
security-reviewer
Security review agent — focuses on OWASP Top 10, key management, input sanitization, dependency vulnerabilities and other security issues.
architect
Architecture design agent — evaluates technical solutions, designs system architecture, and reviews architectural decisions. Suitable for new system design or major refactoring.
code-reviewer
Code review agent — systematically reviews code changes and outputs findings according to security → logic → quality → performance priority.
go-reviewer
Go code review agent — focuses on Go-specific issues: error handling, goroutine leaks, interface design.
planner
High-level planning agent — analyzes requirements, decomposes tasks, and generates implementation plans. Suitable for early planning of complex functions (3+ files).
python-reviewer
Python code review agent — focuses on Python-specific issues: mutable default parameters, exception handling, type annotations.