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 Arnosdeus/agent-toolkit --skill security-reviewgit clone --depth 1 https://github.com/Arnosdeus/agent-toolkitWrote 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/arnosdeus/agent-toolkit/security-review)<a href="https://agentmods.dev/skills/arnosdeus/agent-toolkit/security-review"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/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/arnosdeus/agent-toolkit/security-review"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/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 | $0.00031 | $0.00263 |
| Opus 5.5 | $0.00012 | $0.00105 |
| Sonnet 5.5 | $0.00006 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
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
Procedure and output
Inspect trust boundaries, data flow, configuration, tests, and deployment
assumptions before judging a finding. Report CRITICAL, HIGH, MEDIUM,
LOW, or INFORMATIONAL findings as file:line — evidence — impact — fix.
Mark unverified items as recommendations and never invent exploitability.
Inspect trust boundaries, data flow, configuration, tests, and deployment assumptions before judging a finding. Review authentication, authorization/RBAC, sessions, secrets, validation, output encoding, SSRF, CSRF, XSS, SQL/NoSQL and command injection, path traversal, unsafe deserialization, uploads, cryptography, logging, sensitive-data exposure, API security, headers, rate limits, privilege escalation, and dependency vulnerabilities.
Classify every result as confirmed vulnerability, likely vulnerability, hardening recommendation, or false positive. Include file/line evidence, impact, exploit preconditions, and a practical remediation. Do not infer a vulnerability without evidence; state what could not be verified.
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 · 26 lines · 31 tokens per session scan A 21b19f93333d
security-review is a skill published in the GitHub repository Arnosdeus/agent-toolkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 263 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 2026-08-31.
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