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 kngwyc3/Agent-Learning-Hub --skill my-skillgit clone --depth 1 https://github.com/kngwyc3/Agent-Learning-HubWrote 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/kngwyc3/agent-learning-hub/my-skill)<a href="https://agentmods.dev/skills/kngwyc3/agent-learning-hub/my-skill"><img src="https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/my-skill/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/kngwyc3/agent-learning-hub/my-skill"><img src="https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/my-skill.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 | $0.00027 | $0.00437 |
| Opus 5.5 | $0.00011 | $0.00175 |
| Sonnet 5.5 | $0.00005 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
code-review-risk-check 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 2mo 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
Code Review Risk Check
Use this skill to turn a raw code diff into a concise engineering review. The goal is not to summarize every changed file; the goal is to find the issues that could break users, production, security, data integrity, or future maintenance.
When To Use
- The user asks for a code review, PR review, diff review, or regression risk review.
- The input contains changed files, a patch, commit diff, or PR context.
- The expected output is a review comment or a list of findings.
When Not To Use
- The user asks for implementation rather than review.
- There is no code, diff, or behavioral description to inspect.
- The request is only about formatting, naming, or style preferences.
Inputs
- Code diff or file list.
- User intent, issue, PR description, or acceptance criteria if available.
- Test output, linter output, or CI failures if available.
Steps
- Identify the user-facing behavior or contract touched by the change.
- Scan the diff for correctness risks first: control flow, data shape, state transitions, error handling, permissions, concurrency, and persistence.
- Check whether tests cover the riskiest changed behavior.
- Ignore low-signal style issues unless they hide a real bug.
- Report findings first, ordered by severity.
- If no issues are found, say so clearly and mention remaining test gaps or residual risk.
Output
Use templates/review_report.md as the output shape:
- Findings first.
- Each finding must include severity, file or symbol, impact, and a concrete fix direction.
- Summary is optional and must stay short.
Verification
Before returning the review:
- At least one finding has concrete evidence, or the report explicitly says no findings.
- No fabricated file paths or line numbers.
- No broad rewrite suggestions unless the current diff requires them.
- Test gaps are tied to changed behavior, not generic advice.
What ships with it
11 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.
- samples/bad_report.md 198 B
- samples/good_report.md 659 B
- scripts/smoke_check.py 845 B runs code
- templates/eval-skill/SKILL.md 1.4 KB
- templates/eval-skill/tests/smoke.md 153 B
- templates/lark-skill/SKILL.md 1.3 KB
- templates/lark-skill/tests/smoke.md 117 B
- templates/minimal-skill/SKILL.md 393 B
- templates/minimal-skill/tests/smoke.md 106 B
- templates/review_report.md 497 B
- tests/smoke.md 787 B
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.
- 2mo ago First seen · 53 lines · 27 tokens per session scan A 9efadabcef56
code-review-risk-check is a skill published in the GitHub repository kngwyc3/Agent-Learning-Hub (147 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 437 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 2026-08-30.
code-review-risk-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| code-review-risk-checkkngwyc3/Agent-Learning-Hub | Skill | 147 | 4mo ago | MIT | A | 27 | Claude Code, Codex |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | yesterday | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |