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Review implementation code for issues and produce a written report
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Review implementation code for issues and produce a written report
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | review |
| description | Review implementation code for issues and produce a written report |
Review all code changes for a user story and produce an actionable report. Be thorough but pragmatic — only flag genuine issues, not style preferences already within the project's conventions.
$ARGUMENTS is the path to a story file.
Read the file at $ARGUMENTS. Understand the acceptance criteria — the review must verify the implementation satisfies them.
Before reviewing, understand what "correct" looks like:
Run git diff --name-only HEAD and git status --short to find all changed, staged, and untracked files. Include everything — implementation files, test files, schema changes, configuration.
Use the Read tool on each file. Read the full file, not just the diff — context matters for architectural correctness.
Evaluate the code against each of these categories:
Correctness
Security
Architecture
Test Quality
Code Style
Naming
Performance
Consistency
Derive story-slug from the story filename. Write to docs/reviews/{story-slug}/02-review.md:
# Code Review
**Story:** {story file path}
**Date:** {ISO date}
**Status:** {PASS | ISSUES_FOUND}
## Summary
{One paragraph overall assessment}
## Critical
{Must fix. Each finding with file path and description.}
- `path/to/file:line` — {description of issue and what to fix}
## Warnings
{Should fix. Lower severity but still worth addressing.}
- `path/to/file:line` — {description}
## Suggestions
{Optional improvements. Not blocking.}
- {suggestion}
## Acceptance Criteria Check
| Criterion | Status | Evidence |
| ----------- | --------- | ------------------------ |
| {criterion} | PASS/FAIL | {test or code reference} |
## Files Reviewed
- `path/to/file` — {brief description}
If there are no Critical or Warning findings, set Status to PASS. Otherwise ISSUES_FOUND.
After writing the report, output a brief summary: total findings by severity and the report file path.
Review an Equal Experts Gen AI Engineer take-home test submission (typically a RAG pipeline exercise) against the EE assessment rubric. Use when reviewing a candidate's Gen AI / LLM / RAG take-home test, assessing a retrieval-augmented-generation or prompt-engineering exercise, or scoring a THT for a Gen AI Engineer role.
Review an Equal Experts Backend Software Engineer take-home test submission against the EE assessment rubric. Use when reviewing a candidate's backend / general software engineering take-home test (non Gen AI), assessing a coding exercise submission, or scoring a THT for a backend role.
Generate a single-line commit message from conversation context and git diff, then optionally commit
Shared code and test patterns for the story pipeline skills
Write tests and implementation together for a user story
Final quality review producing a human-readable report