Borrowing it
Nothing to install: this file belongs to notnotype/neuro-book. 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/notnotype/neuro-book/master/.agents/skills/reviewing/SKILL.mdgit clone --depth 1 https://github.com/notnotype/neuro-bookWrote 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/notnotype/neuro-book/reviewing)<a href="https://agentmods.dev/skills/notnotype/neuro-book/reviewing"><img src="https://agentmods.dev/badge/skills/notnotype/neuro-book/reviewing/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/notnotype/neuro-book/reviewing"><img src="https://agentmods.dev/badge/skills/notnotype/neuro-book/reviewing.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 | $0.00069 | $0.03044 |
| Opus 5.5 | $0.00028 | $0.01218 |
| Sonnet 5.5 | $0.00014 | $0.00609 |
| Haiku 4.5 | $0.00007 | $0.00304 |
Grade A, and why
reviewing 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 7d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 7d ago First seen · 154 lines · 69 tokens per session scan A dbd04560b16b
reviewing is a skill published in the GitHub repository notnotype/neuro-book (748 stars, last pushed 8d ago), licensed AGPL-3.0. It adds 69 tokens to every session and 3,044 once invoked, about $0.0003 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 2026-10-15.
Other skills, from other repositories
open-code-review
Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…
open-code-review-delegate
Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.
review
Comprehensive security and correctness audit. Use for review, deep review, thermo nuclear, or thermonuclear requests and branch or PR diff audits.
game-craft
A game-design guide for planning interactive games and stories. It covers player choices, recurring play, characters, world rules, state, consequences, and pacing without executing game turns or changing files.
novel-craft
A writing guide for planning and revising long-form Chinese web fiction. It covers story premises, outlines, characters, rules, scenes, reader expectations, pacing, continuity, and revision diagnosis.
novel-standard
Standard writing workflow in which the main Agent drafts and revises while the built-in general-purpose SubAgent reviews, balancing quality and speed.