zen-review

zen-review is a skill for Claude Code, Codex from EliasOulkadi/shokunin. It costs 44 tokens per session (2,304 once invoked), scanned A, original, MIT.

A code-review guide for examining pull-request changes for correctness, security, speed, and code quality.

In plain words
What is it for?
Use it to review a repository diff and return findings in JSON without changing files or running tests.
Why use it?
It helps spot problems in a proposed change before the code is merged.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions OpenCode.

Good fit Use it to review a repository diff and return findings in JSON without changing files or running tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eliasoulkadi/shokunin/zen-review
Install

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.

Any agent
npx skills add EliasOulkadi/shokunin --skill zen-review
Clone the repo
git clone --depth 1 https://github.com/EliasOulkadi/shokunin

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for zen-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/zen-review/github.svg)](https://agentmods.dev/skills/eliasoulkadi/shokunin/zen-review)
Your own site
<a href="https://agentmods.dev/skills/eliasoulkadi/shokunin/zen-review"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/zen-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.

agentmods 80×15 button for zen-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/eliasoulkadi/shokunin/zen-review"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/zen-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,304 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 108
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.02304
Opus 5 $0.00022 $0.01152
Sonnet 5 $0.00009 $0.00461
Haiku 4.5 $0.00004 $0.00230

Measured 8d ago against content hash add5303388cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

zen-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 8d 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.

.pack/skills/zen-review/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review

You are an expert code reviewer with deep codebase understanding.

You are running inside the actual repository. Do NOT clone or fetch — the repo is already checked out. Do NOT run tests, builds, or modify any files. Do NOT read existing PR comments or reviews — form your own independent opinion from the code only.

Workflow

Your Task

  1. Get the diff of changes to review. Try these sources in order:
    • Diff file path: If the prompt provides a diff file path (e.g., /tmp/review-diff.patch), read the diff from that file.
    • Text diff in prompt: If the prompt contains a pasted diff (unified diff format), use it directly.
    • Git commit hashes: If the prompt provides commit hashes, extract the diff:
      # Single commit:
      git diff "<commit>^..<commit>"
      # Two commits or range (abc123..def456):
      git diff "<commit1>..<commit2>"
      
    • Current branch changes: If none of the above are provided, compute the diff from the current branch:
      MERGE_BASE=$(git merge-base HEAD origin/main 2>/dev/null || git merge-base HEAD origin/master 2>/dev/null)
      if [ -n "$MERGE_BASE" ]; then
        git diff "$MERGE_BASE" > /tmp/review-diff.patch
      else
        git diff HEAD > /tmp/review-diff.patch
      fi
      
      This captures the full current branch delta without appending a second working-tree diff, so the patch does not contain duplicated hunks. Read the resulting file. If it is empty, inform the user that no changes were found and stop.
  2. Process each changed file ONE BY ONE in the order they appear in the diff. For each file, complete ALL steps below before moving to the next file.

Review Method (per file)

1. Read the full file and analyze every changed line

  • Read the complete file to understand context.
  • For EVERY new or modified line, ask: is this correct?
  • Check function call arguments: do the types and order match the function signature? Read the called function's definition to verify.
  • Check conditions and comparisons: are they logically correct? Any off-by-one? Any wrong operators (AND vs OR, == vs ===)?
  • Check variable usage: is the right variable used? Could names be confused?
  • Check return values: does the caller handle all possible return values correctly?

Read the full file on GitHub · 164 lines

Changes

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.

  1. 8d ago First seen · 164 lines · 44 tokens per session scan A add5303388cc

Subscribe to this mod's changes

zen-review is a skill published in the GitHub repository EliasOulkadi/shokunin (113 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 2,304 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 2026-09-03.

Related

Other skills, from other repositories

code-refactor

Refactor Python code to match this repo's coding standards and style. Use when the user asks to "refactor", "clean up", "fix coding standards", or "apply best practices" to a module, file, or directory in this repo. Applies python-best-practices, pydantic v2, pytorch-lightning, and python-docs conventions as relevant…

arnabdeypolimi/claude_code_setup · 85 tokens

quality

PALADIN quality gatekeeper. Two-stage system: Stage 1 checks spec compliance (pass/fail, blocks everything on failure). Stage 2 scores project health 0-100 across 6 tiers. Issues verdict: SHIP IT / SHIP WITH CAUTION / NOT READY / BLOCKED. Evidence Before Claims: every finding must cite the file, line, and what was…

pnmcguire480/cairntir · 141 tokens

audit-artifact

Interactive workflow for auditing a SpecRoute artifact before it is treated as implementation-ready. Use when checking a PRD, spec triplet, prompt set, agent file, skill, command, hook, rule, or runtime layout. Asks which artifact path to inspect and which contract to apply. Triggers - "audit this artifact", "check…

Enovatr-Labs/SpecRoute · 87 tokens

security-review

Perform a focused security review of pending git changes to identify high-confidence security vulnerabilities with real exploitation potential. Use this skill when the user asks for a security review, security audit, vulnerability scan, or wants to check pending changes on a branch for security issues before merging.…

waybarrios/opencode-power-pack · 64 tokens

huggingface-llm-trainer

Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion. Use for cloud LLM training; use huggingface-vision-trainer for vision tasks.

waybarrios/opencode-power-pack · 65 tokens

feature-dev

Guide a feature implementation through a structured seven-phase workflow with deep codebase understanding, clarifying questions, parallel architecture design, and quality review. Use this skill when the user asks to build a new feature, add functionality, or wants a methodical approach to implementation rather than…

waybarrios/opencode-power-pack · 62 tokens