Borrowing it
Nothing to install: this file belongs to ryanportfolio/winuse-mcp. 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/ryanportfolio/winuse-mcp/main/.claude/skills/codex-fullreview/SKILL.mdgit clone --depth 1 https://github.com/ryanportfolio/winuse-mcpWrote 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/ryanportfolio/winuse-mcp/codex-fullreview)<a href="https://agentmods.dev/skills/ryanportfolio/winuse-mcp/codex-fullreview"><img src="https://agentmods.dev/badge/skills/ryanportfolio/winuse-mcp/codex-fullreview/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/ryanportfolio/winuse-mcp/codex-fullreview"><img src="https://agentmods.dev/badge/skills/ryanportfolio/winuse-mcp/codex-fullreview.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 | $0.00059 | $0.05755 |
| Opus 5.5 | $0.00024 | $0.02302 |
| Sonnet 5.5 | $0.00012 | $0.01151 |
| Haiku 4.5 | $0.00006 | $0.00575 |
Grade B, and why
codex-fullreview scanned grade B 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 6d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**Model: always the newest Sol, named by its exact id.** `-m` takes a literal model id; there is no "latest Sol" alias, so the command pins one. The pin is `gpt-6.1-sol`. Before launch, check the `model` in `~/.codex/con The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago Changed · -4 tokens per session 980f9c04f088
- 26d ago First seen · 153 lines · 63 tokens per session scan B 8d3806cdd43c
codex-fullreview is a skill published in the GitHub repository ryanportfolio/winuse-mcp (1 stars, last pushed 6d ago), with no licence file. It adds 59 tokens to every session and 5,755 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-04.
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merge-batch
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make-pr-easy-to-review
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thermo-nuclear-code-quality-review
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
security-review
Perform a focused security review of pending git changes to identify high-confidence security vulnerabilities with real exploitation potential. Use this skill when the user asks for a security review, security audit, vulnerability scan, or wants to check pending changes on a branch for security issues before merging.…
review-work
Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
huggingface-llm-trainer
Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion. Use for cloud LLM training; use huggingface-vision-trainer for vision tasks.