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 cmdr-chara/codex-toolkit --skill security-reviewgit clone --depth 1 https://github.com/cmdr-chara/codex-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/cmdr-chara/codex-toolkit/security-review)<a href="https://agentmods.dev/skills/cmdr-chara/codex-toolkit/security-review"><img src="https://agentmods.dev/badge/skills/cmdr-chara/codex-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/cmdr-chara/codex-toolkit/security-review"><img src="https://agentmods.dev/badge/skills/cmdr-chara/codex-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 | $0.00037 | $0.00761 |
| Opus 5.5 | $0.00015 | $0.00304 |
| Sonnet 5.5 | $0.00007 | $0.00152 |
| Haiku 4.5 | $0.00004 | $0.00076 |
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 24d 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Review
Find realistic exploit paths and security regressions without burying the user in generic checklist noise.
This skill is an original Codex Toolkit synthesis informed by MIT-licensed SkillMedev security-review material. See references/provenance.md.
Trigger boundary
Use this skill for:
- security-focused review of a diff, endpoint, service, auth flow, parser, upload path, webhook, or other trust boundary;
- requests to assess exploitable authorization, injection, SSRF, deserialization, secret exposure, path/file handling, or business-logic abuse;
- security-sensitive changes where the user wants a focused findings list.
Do not trigger for:
- general maintainability review with security only incidental;
- broad unknown-bug hunting;
- dependency/version migration as the primary task;
- final release approval.
Required inputs
Resolve the review scope, candidate/diff identity, entry points that accept untrusted input, authentication/authorization model, deployment/trust context, relevant data boundaries, and protected user work. Label inferred entry points or threat assumptions explicitly.
Safety baseline
- Preserve the working tree and uncommitted user work.
- Start read-only unless the user already authorized fixes.
- Do not execute exploit payloads against production or third-party systems.
- Do not expose secrets, credentials, private data, or sensitive exploit details beyond what is necessary to explain the finding.
- A scanner warning is evidence to investigate, not proof of exploitability.
Workflow
- Map trust boundaries. Identify untrusted inputs, privileged actions, tenant/resource ownership, outbound requests, file paths, deserialization, secrets, and external integrations.
- Trace authorization first. For each protected resource/action, verify permission on the specific object/tenant and execution path, not merely authentication.
- Trace untrusted data to dangerous sinks. Follow query construction, commands, templates/HTML, redirects/URLs, filesystem paths, parsers, and object binding.
- Check network and serialization boundaries. Review SSRF controls, redirect behavior, unsafe native deserialization, webhook verification, and mass assignment.
- Check secrets and sensitive output. Inspect client bundles, logs, error messages, fixtures, source maps, configuration, and credential handling when in scope.
- Challenge business invariants. Look for replay, duplicate effects, privilege transitions, state-machine bypass, quota/payment/ownership mistakes, and authorization gaps not caught by syntactic scanners.
- Filter findings. Read
references/review-playbook.md. Raise only findings with a plausible attack path or concrete security control failure; keep uncertain items explicitly labeled. - Propose the smallest fix. Preserve behavior outside the violated security contract and define focused regression evidence.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 24d ago First seen · 59 lines · 37 tokens per session scan A ee7f6d4117c8
security-review is a skill published in the GitHub repository cmdr-chara/codex-toolkit (2 stars, last pushed 11d ago), licensed MIT. It adds 37 tokens to every session and 761 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 2026-09-25.
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