comprehensive-review

comprehensive-review is a skill for Claude Code, Codex from EliasOulkadi/shokunin. It costs 73 tokens per session (4,331 once invoked), scanned A, original, MIT.

A code-review workflow that uses several specialized reviewers to inspect architecture, security, performance, code quality, requirements, and bugs. It can review a GitHub pull request or changes on the current branch.

In plain words
What is it for?
Use it to review a pull request or local code changes and combine findings from multiple focused checks.
Why use it?
It helps catch different kinds of problems that a single general review may overlook.

Skill for Claude CodeCodex

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

Good fit Use it to review a pull request or local code changes and combine findings from multiple focused checks.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/eliasoulkadi/shokunin/comprehensive-review"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/comprehensive-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,331 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 Privilege Escalation · line 291
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 $0.00073 $0.04331
Opus 5.5 $0.00029 $0.01732
Sonnet 5.5 $0.00015 $0.00866
Haiku 4.5 $0.00007 $0.00433

Measured 1mo ago against content hash d9c26ad077e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

comprehensive-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.

.pack/skills/comprehensive-review/SKILL.md · 327 lines

How it starts

The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Comprehensive Code Review

Run parallel specialized code reviews via subagents, covering architecture, security, performance, code quality, requirements compliance, and bugs. Merge findings and let the user act on them. Works with both GitHub PRs and local branch diffs.

Variables

  • {TEMP_DIR} — the OS temporary directory (e.g. /tmp on Unix, %TEMP% on Windows). Use it for all intermediate files.

Workflow

Step 1: Determine review mode

Check if the user provided a GitHub PR link.

  • PR mode: A PR URL is provided matching https://github.com/<OWNER>/<REPO>/pull/<PR_NUMBER>. Extract owner, repo, and PR number.
  • Local mode: No PR URL provided. The review will be based on the diff between the current branch and its base branch, plus any uncommitted changes.

Step 2: Fetch diff and task description via subagent

Call a subagent to gather all change details, save the diff, and checkout the correct branch.

CRITICAL: You MUST spawn a subagent for this step. Do NOT perform the diff-gathering, branch detection, or complexity assessment yourself.

Construct the subagent prompt as follows:

Gather the code change details for a comprehensive code review.

Mode: <PR mode or Local mode>
<If PR mode: Owner: <OWNER>, Repo: <REPO>, PR Number: <PR_NUMBER>>

Instructions:
- PR mode: Fetch PR details via GitHub API (title, description, diff). Use `gh pr view <PR_NUMBER> --repo <OWNER>/<REPO> --json title,body` for metadata and `gh pr diff <PR_NUMBER> --repo <OWNER>/<REPO>` for the diff. Save diff to {TEMP_DIR}/review-diff-<branch>.patch.
- Local mode: Detect the current branch and its base branch (try main, master, develop). Use `git diff <base>...HEAD` for committed changes and `git diff` for uncommitted changes. Combine into {TEMP_DIR}/review-diff-<branch>.patch.
- Determine complexity: simple (<200 diff lines, single file/module), medium (200-800 lines, 2-5 files), hard (>800 lines, 6+ files, or touches architecture).
- Return: diff file path, diff line count, title, comprehensive task description, and complexity assessment.

Read the full file on GitHub · 327 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. 1mo ago First seen · 327 lines · 73 tokens per session scan A d9c26ad077e8

Subscribe to this mod's changes

comprehensive-review is a skill published in the GitHub repository EliasOulkadi/shokunin (112 stars, last pushed 23d ago), licensed MIT. It adds 73 tokens to every session and 4,331 once invoked, about $0.0003 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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