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/talayash/agentrium/security-reviewgit clone --depth 1 https://github.com/talayash/agentriumWhat 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 | $0.00000 | $0.00445 |
| Opus 5 | $0.00000 | $0.00222 |
| Sonnet 5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
security-review 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 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.
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
Security Review
Run a security audit on the codebase or recent changes.
Instructions
Perform a security review of: $ARGUMENTS (or entire codebase if no arguments)
Scan Areas
1. Command Injection
- Search
src-tauri/src/forcmd /C,Command::new, process spawning - Verify all user-controlled strings are properly escaped
- Check
write_to_terminalfor injection vectors
2. Path Traversal
- Search for file operations using user-provided paths
- Check workspace loading/saving for path validation
- Ensure no
..traversal is possible
3. Secrets Detection
- Search entire codebase for patterns: API keys, tokens, passwords, secrets
- Check
.envfiles, config files, hardcoded strings - Verify
.gitignorecovers sensitive files
4. IPC Security
- Review
src-tauri/capabilities/default.jsonfor overly broad permissions - Check that all IPC commands validate their inputs
- Verify error messages don't leak internal paths or state
5. Dependency Audit
- Check for known vulnerabilities:
npm auditandcargo audit(if available) - Flag outdated dependencies with known CVEs
6. Frontend Security
- Search for
eval(),innerHTML,dangerouslySetInnerHTML - Check CSP configuration in
tauri.conf.json - Verify no sensitive data in localStorage (Zustand persist)
7. Update Security
- Verify auto-updater uses signed releases
- Check update endpoint configuration
Output
## Security Audit Report
### CRITICAL 🔴 (must fix immediately)
[findings]
### HIGH 🟠 (should fix before release)
[findings]
### MEDIUM 🟡 (fix when convenient)
[findings]
### LOW 🔵 (informational)
[findings]
### Summary
- Total: N findings (C critical, H high, M medium, L low)
- Risk level: LOW / MEDIUM / HIGH / CRITICAL
- Recommended actions: [prioritized list]
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 · 66 lines · 0 tokens per session scan A 8402933e0d20
security-review is a command published in the GitHub repository talayash/agentrium (39 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 445 tokens. 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.
Other commands, from other repositories
spec-design
Create comprehensive technical design for a specification.
vibe-agents
Step 4 of the vibe-coding workflow: generate AGENTS.md + tool configs so the AI builder stays on track.
validate-gap
Analyze implementation gap between requirements and existing codebase.
spec-impl
Execute spec tasks using TDD methodology.
oss-docs
(user-owned) oss-docs harness — README 4-locale + docs-site publishing for the moai-adk-go OSS project (adk.mo.ai.kr, Vercel auto-deploy).
fix
Auto-detect and fix LSP errors, linting issues, and type errors.