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 agentmods add skills/frankxai/claude-skills-library/github-code-reviewnpx skills add frankxai/claude-skills-library --skill github-code-reviewgit clone --depth 1 https://github.com/frankxai/claude-skills-libraryWrote 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/frankxai/claude-skills-library/github-code-review)<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/github-code-review"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/github-code-review.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.01640 |
| Opus 5 | $0.00020 | $0.00820 |
| Sonnet 5 | $0.00008 | $0.00328 |
| Haiku 4.5 | $0.00004 | $0.00164 |
Grade A, and why
github-code-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 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.
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
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 ships with it
1 file 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.
- 6d ago First seen · 250 lines · 41 tokens per session scan A aef047b9e351
github-code-review is a skill published in the GitHub repository frankxai/claude-skills-library (38 stars, last pushed yesterday), with no licence file. It adds 41 tokens to every session and 1,640 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other skills, from other repositories
token-saver
Token optimization guide for Claude Code. This skill should be used when the user wants to reduce API costs, learn model routing strategies, or understand how to use free/cheaper tools (Ollama, Haiku) instead of burning expensive Claude tokens on routine tasks. Triggers on: save tokens, reduce costs, token tips, cheap…
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.
claude-handoff
为当前对话撰写一份交接摘要，让一个全新的 agent 能够继续工作。不要把摘要保存到本地，而是启动一个后台 agent，把这份摘要作为它的提示词注入：claude --bg --name " " " "。它会在当前工作目录启动并立刻返回；用户通过 claude agents 来管理它。.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.
pull-request-automation
Audits and improves the pull request workflow for a GitHub repository. Covers PR description templates, auto-labelling, CODEOWNERS, PR size checks, and branch protection rules. Invoked when the user asks to improve the PR process, set up PR automation, or add a PR template.
video-notes-generator
Use when user wants to summarize, analyze, or generate notes from a video URL. Converts video content into structured Markdown notes with timestamps, extracted visual frames, native multimodal image observations, and AI summaries. Supports Bilibili, YouTube, Douyin, Kuaishou, and local files.