Borrowing it
Nothing to install: this file belongs to talayash/agentrium. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/talayash/agentrium/master/.claude/skills/security-review/SKILL.mdgit clone --depth 1 https://github.com/talayash/agentriumWrote 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/talayash/agentrium/security-review)<a href="https://agentmods.dev/skills/talayash/agentrium/security-review"><img src="https://agentmods.dev/badge/skills/talayash/agentrium/security-review/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/talayash/agentrium/security-review"><img src="https://agentmods.dev/badge/skills/talayash/agentrium/security-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00232 |
| Opus 5.5 | $0.00007 | $0.00093 |
| Sonnet 5.5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
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 1mo 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 Skill
Threat Surface for Agentrium
- PTY Command Injection - user input → xterm.js → IPC → PTY
- IPC Boundary - frontend can invoke any registered command
- Process Spawning -
cmd /Cwrapping needs proper escaping - File System - workspace paths from user input
- Auto-updater - must verify signed releases
- SQLite - parameterized queries only
Quick Checklist
- No
.unwrap()in production Rust paths - No hardcoded secrets/tokens/passwords
- No
eval(),innerHTML,dangerouslySetInnerHTML - All IPC commands validate inputs
-
cmd /Ccalls escape user strings - SQLite uses parameterized queries
- Tauri capabilities are minimal
- CSP configured in tauri.conf.json
- Auto-updater verifies signatures
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.
- 1mo ago Changed 9ac292a2e411
- 1mo ago First seen · 28 lines · 17 tokens per session scan A d45ddc8a97f0
security-review is a skill published in the GitHub repository talayash/agentrium (46 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 232 once invoked, about $0.0001 per session on Opus 5.5. 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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