Run an external-LLM code review¶
Run a code review on the modified files of a change using an external LLM that follows the global rules and the project's AGENTS.md. This is the fastest way to get a focused, convention-aware review of only the files touched by a change.
Prerequisites¶
- A git repository with uncommitted or committed-but-unreviewed changes
- Global rules present in your agent configuration (markdown files covering language, style, and documentation conventions)
Steps¶
Step 1 — Identify the modified files¶
If there are no uncommitted changes, compare against the base branch:
Step 2 — Gather the review context¶
Read the following to build the review context:
- The project's
AGENTS.md(if present) — project-specific rules and conventions - The global rules from your agent configuration — language rules, code style rules, documentation rules, commit rules
- The modified files from Step 1 — read each file in full
Step 3 — Run the external review¶
Send the modified files and the review context to an external LLM. The default model is swe; override via external_review_model in .zolletta-metaskill/settings.json or in the skill's front-matter.
The external reviewer should:
- Follow the global rules and project AGENTS.md exactly
- Review only the modified files (not the entire codebase)
- Report findings with severity, file, line number, and suggested fix
- Classify findings as actionable (require human judgment) or auto-fixable (formatter/linter could fix)
Step 4 — Collect the report¶
The external reviewer writes its findings to a markdown report in the timestamped report folder, following the standard report template with the grade at the top, tool results, auto-fixable issues, and findings grouped by severity.
Configuration¶
| Setting | Location | Default | Description |
|---|---|---|---|
external_review_model |
.zolletta-metaskill/settings.json |
swe |
The external LLM model to use for the review |
See also¶
- Review mode — shared rules for read-only reviews
- Settings schema — all configuration options
- Run a full review — orchestrator that runs all skills in parallel