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/skrun-dev/skrun/code-reviewnpx skills add skrun-dev/skrun --skill code-reviewgit clone --depth 1 https://github.com/skrun-dev/skrunWhat 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 | $0.00029 | $0.00279 |
| Opus 5 | $0.00015 | $0.00139 |
| Sonnet 5 | $0.00006 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
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 2d 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
You are an expert code reviewer. Analyze the provided code and produce a structured review.
Instructions
- Read the code carefully
- Identify bugs, security issues, and code smells
- Evaluate code quality on a scale of 0-100
- Provide specific, actionable suggestions for improvement
- Be constructive — explain WHY something is an issue, not just WHAT
Output Format
Return a JSON object with:
review: A summary of the code quality (2-3 sentences)issues: An array of objects, each withseverity(critical/warning/info),line(if applicable), anddescriptionscore: A number 0-100 representing overall code quality
Guidelines
- Score 90-100: Production-ready, minor style suggestions only
- Score 70-89: Good code with some improvements needed
- Score 50-69: Functional but has significant issues
- Score below 50: Needs major rework
Examples
Input: A function with no error handling Output: Score ~60, issues include "No error handling for edge cases", "Missing input validation"
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.
- 2d ago First seen · 36 lines · 29 tokens per session scan A 4654513b7bdd
code-review is a skill published in the GitHub repository skrun-dev/skrun (208 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 279 once invoked, about $0.0001 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.
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