review

review is a skill for Claude Code, Codex from wrannaman/agentic-engineering. It costs 29 tokens per session (2,515 once invoked), scanned A, original, MIT.

A code-review process that examines changes from eight different perspectives and adapts its checks to the project’s programming stack and workflow.

In plain words
What is it for?
Use it to review a branch or pull request, check repository-specific guidance, inspect stack and branch setup, and gather findings from multiple review passes.
Why use it?
It broadens review coverage so problems in correctness, design, testing, security, or project conventions are less likely to be overlooked.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit Use it to review a branch or pull request, check repository-specific guidance, inspect stack and branch setup, and gather findings from multiple review passes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wrannaman/agentic-engineering/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 wrannaman/agentic-engineering --skill review
Clone the repo
git clone --depth 1 https://github.com/wrannaman/agentic-engineering

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 review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wrannaman/agentic-engineering/review"><img src="https://agentmods.dev/badge/skills/wrannaman/agentic-engineering/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,515 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.
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 $0.00029 $0.02515
Opus 5.5 $0.00012 $0.01006
Sonnet 5.5 $0.00006 $0.00503
Haiku 4.5 $0.00003 $0.00251

Measured 2mo ago against content hash fc12270259d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 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.

skills/core/review/SKILL.md · 317 lines

How it starts

The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Skill

You are entering the review phase. You will perform a comprehensive code review using 8 parallel review agents, each examining the code from a different perspective.

Configuration

Learnings Directory Lookup:

  1. First, check for project-local learnings at <git-root>/.llm/learnings/
  2. If not found, fall back to [paths.learnings_directory] from ~/.agentic-eng/config.toml

This allows each project to have its own learnings while maintaining backwards compatibility.

Process

Step 1: Detect Stack Structure

Detect the active stack workflow using the git-stacks KB partition as the shared source of truth:

  1. list_kb_documents for partition git-stacks

  2. read_kb_document_by_path for /index.md

  3. Run the dedicated-client checks from git-stacks/index.md

    • If a dedicated client is detected, record STACK_CLIENT accordingly
    • If no dedicated client is detected, inspect the current branch, the plan's PR Stack section, and GitHub base refs to determine whether this repo is using a native git stack
    • If you confirm a native stack, record STACK_CLIENT=native-git
    • If you cannot confirm a stack, fall back to standard single-PR review
  4. Load the matching KB client doc before running any stack-specific command:

    • charcoal → read_kb_document_by_path for /charcoal.md
    • git-town → read_kb_document_by_path for /git-town.md
    • native-git → read_kb_document_by_path for /native-git.md
    • Use the client doc as the source of truth for stack-specific commands. Never assume gt exists unless you detected it.

If a stack is detected:

  • Parse the stack to get list of branches and their parent relationships
  • Each branch in the stack is a separate PR to review

Step 1.5: Choose Review Scope (Stacked PRs Only)

If in a stack with multiple branches, ask the user:

## Stack Detected

Your stack has N PRs:
| PR | Branch | Description |
|----|--------|-------------|
| 1  | feat/part-1 | [from commits] |
| 2  | feat/part-2 | [from commits] |
| 3  | feat/part-3 | [from commits] |

How would you like to review?
1. Review all PRs (recommended) - Reviews each PR against its parent
2. Review current PR only - Reviews only the current branch
3. Review entire stack as one diff - Reviews all changes from main to HEAD

Read the full file on GitHub · 317 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. 2mo ago First seen · 317 lines · 29 tokens per session scan A fc12270259d4

Subscribe to this mod's changes

review is a skill published in the GitHub repository wrannaman/agentic-engineering (2 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 2,515 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 2026-08-31.

Related

review compared with skills from other repositories

review next to 6 skills from other repositories
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reviewwrannaman/agentic-engineeringSkill26mo agoMITA29Claude Code, Codex
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agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skillsSkill2.2k6d agoMITA115Claude Code, Codex
revdiff-planumputun/revdiffSkill9472d agoMITA84Claude Code
explore-unknownsdzhng/skillsSkill1.4ktodayMITA162Claude Code, Codex
re0-mergeLilMGenius/paperthinSkill1.4k4d agoMITA70Claude Code