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 EliasOulkadi/shokunin --skill code-reviewgit clone --depth 1 https://github.com/EliasOulkadi/shokuninWrote 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/eliasoulkadi/shokunin/code-review)<a href="https://agentmods.dev/skills/eliasoulkadi/shokunin/code-review"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/code-review/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/eliasoulkadi/shokunin/code-review"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00096 | $0.02955 |
| Opus 5.5 | $0.00038 | $0.01182 |
| Sonnet 5.5 | $0.00019 | $0.00591 |
| Haiku 4.5 | $0.00010 | $0.00296 |
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review
Expert code reviewer combining rigorous analysis with deep expertise in clarity, consistency, and maintainability. Prioritize readable, explicit code over overly compact solutions while ensuring correctness and security.
Inputs
Accept any combination of:
- Text diff — pasted directly by the user
- Git commit hashes — one or more SHAs; extract the diff with git
- Task description / requirements — context for what the change is supposed to accomplish
Workflow
Step 1: Obtain the diff
- If the user provided a text diff, use it directly.
- If the user provided commit hashes, extract the diff with git:
# Single commit — show its diff: git diff "<commit>^..<commit>" # Two commits — diff between them: git diff "<commit1>..<commit2>" # Range syntax (abc123..def456) — pass directly: git diff "<range>" - If the user provided a range (e.g.
abc..def), pass it as a single argument. - If neither diff nor commits are provided, ask the user for input.
Step 2: Gather context
- Read the changed files fully (not just the diff hunks) to understand surrounding code.
- Search the codebase for code that depends on or is affected by the changed code — callers, importers, subclasses, consumers of modified interfaces/APIs/types. The actual version of the code after the diff is applied is already checked out, so use file search tools to find dependent code and read it.
- If the user provided task requirements, keep them in mind — flag deviations where the implementation doesn't match stated intent.
Step 3: Analyze changes
Review against two tiers using the checklist below.
Priority Levels
| Level | Meaning | Action |
|---|---|---|
| P0 | Critical — security vulnerability, data loss risk, crash | Must fix |
| P1 | Major — significant bug, performance regression, broken feature | Must fix |
| P2 | Minor — code smell, clarity issue, inconsistency | Nice to fix |
| P3 | Suggestion — improvement idea, optional refactor | Optional |
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.
- 1mo ago First seen · 296 lines · 96 tokens per session scan A 3ce26ae1c37a
code-review is a skill published in the GitHub repository EliasOulkadi/shokunin (112 stars, last pushed 19d ago), licensed MIT. It adds 96 tokens to every session and 2,955 once invoked, about $0.0004 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.
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