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 Factory-AI/factory-plugins --skill security-reviewgit clone --depth 1 https://github.com/Factory-AI/factory-pluginsWrote 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/factory-ai/factory-plugins/security-review)<a href="https://agentmods.dev/skills/factory-ai/factory-plugins/security-review"><img src="https://agentmods.dev/badge/skills/factory-ai/factory-plugins/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/factory-ai/factory-plugins/security-review"><img src="https://agentmods.dev/badge/skills/factory-ai/factory-plugins/security-review.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 | $0.00042 | $0.04593 |
| Opus 5.5 | $0.00017 | $0.01837 |
| Sonnet 5.5 | $0.00008 | $0.00919 |
| Haiku 4.5 | $0.00004 | $0.00459 |
Grade A, and why
security-review 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
os.system(f"ping {user_input}") # VULNERABLE The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 First seen · 572 lines · 42 tokens per session scan A 5544219992d1
security-review is a skill published in the GitHub repository Factory-AI/factory-plugins (115 stars, last pushed 9d ago), with no licence file. It adds 42 tokens to every session and 4,593 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
agent-review
Critically review a Stencila agent and suggest improvements. Use when asked to review, audit, critique, evaluate, or improve an agent directory or AGENT.md file. Covers frontmatter validation, system instruction quality, configuration correctness, and adherence to the Agent schema.
代码审查员
A code-review agent that examines changes for correctness, security, maintainability, performance, and test coverage.
tsq-audit
A code-audit skill that reviews changed files and runs relevant verification checks. It produces a report grouped by severity across security, type safety, error handling, API compatibility, tests, and performance.
critical-review
Radical-honesty architectural review — questions code, methodology, design, and operational fitness.
edgeone-clawscan
The first security skill to install after setting up OpenClaw — powered by Tencent Zhuque Lab. Works like an antivirus for your AI environment: audits installed skills, scans skills before installation, and performs a full OpenClaw security health check to prevent data leaks and privacy risks. Backed by Tencent Zhuque…
edgeone skill scanner
A local static scanner that checks agent-skill files for security risks before they are installed or used. Static analysis examines files without running them.