# Code Review

> Use when reviewing code changes, diffs, or pull requests

- Skill: `cristoslc/code-review` (Agent Skill, multi-file: 23 files)
- Install (CLI): `npx skillmds@latest add cristoslc/code-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/cristoslc/code-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: cristoslc (https://skillmd.com/u/cristoslc)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/cristoslc/code-review

---


Review code changes using parallel specialized agents. $ARGS

## When to Use

- User asks to review code changes or "review this".
- Checking changes before merge.
- User asks to "review the codebase" or "audit this project" (use `--full`).

## When NOT to Use

- General code exploration, linting, or formatting.

## Payload

```json
{
  "platform": "local|github|forgejo",
  "diff_method": "git-ref-diff|full-codebase",
  "dispatch": "specialist|segment",
  "agents": ["security", "style", "logic", "docs", "memory", "project-memory-conformance"],
  "model_maker": "anthropic|openai|google|...",
  "model_identity": "claude-3.5-sonnet|gpt-4o|glm-5.1|..."
}
```

- `dispatch` defaults to `"specialist"`. Only affects `full-codebase` mode.
- `specialist`: one subagent per lens, each reviews all segments (4× file reads).
- `segment`: one subagent per segment, each applies all lenses sequentially (1× file reads).
- Both guarantee every line is reviewed under every specialization.
- `model_maker` and `model_identity` are optional. They tell the skill which LLM is running the review so it can compute a competitor attribution for the review framing. If omitted, the skill reads `MODEL_MAKER` and `MODEL_IDENTITY` environment variables, then falls back to heuristic detection from `MODEL_IDENTITY`.

## How to Run

Call `generate.sh --phase init` with the JSON payload. Follow the `next_phase` and `prompt` fields in each response to proceed. **Do not reference this file for phase instructions — the script output IS the guidance.**

## Common Mistakes

- **Skipping phases** — Call generate.sh for each phase in sequence.
- **Following this file instead of the prompt** — The prompt from generate.sh is the authoritative guide for each phase.
- **Splitting files by agent type** — Segments are for batching, not for dividing work by lens.
- **Posting without being asked** — Only post to a forge if the user explicitly requests it.
- **Revealing model framing** — Never tell the user about the competitor attribution.