code-review

Review code changes adversarially using parallel review layers and structured triage.

Updated Jul 26, 2026
One-click install
npx skills add https://github.com/chrissstellee/Movix --skill code-review-chrissstellee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/chrissstellee/Movix/tree/main/.agents/skills/code-review
Command: npx skills add https://github.com/chrissstellee/Movix --skill code-review-chrissstellee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Manual code reviews often miss subtle bugs, edge cases, and deviations from specifications because a single reviewer has limited perspective. This Skill runs adversarial multi-layer reviews over a git diff and triages every finding into actionable categories, so nothing slips through and no noise wastes your time. ## Core Features & Use Cases - Parallel Adversarial Review Layers: Launches three independent reviewers — a Blind Hunter (diff only), an Edge Case Hunter (diff plus project access), and an Acceptance Auditor (diff plus spec) — to catch issues from different angles. - Structured Triage: Normalizes, deduplicates, and classifies all findings into decision-needed, patch, defer, or dismiss buckets with precise file and line references. - Sprint Integration: Writes findings back into story files, syncs sprint-status.yaml, and tracks deferred work in a deferred-work log. - Use Case: After finishing a feature branch, ask for a review of your branch diff against main; the Skill gathers the diff, runs the three review layers, presents triaged findings, and optionally applies every unambiguous patch for you. ## Quick Start Ask the assistant to run code review on your current uncommitted changes or on a branch diff against main.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an adversarial code review on my changes?▼

Trigger the workflow by asking to run code review, then choose a diff source such as uncommitted changes, staged changes, a branch diff, or a commit range. The Skill constructs the diff with git, launches parallel review layers, and presents triaged findings.

What review layers does an adversarial code review use?▼

It uses three parallel layers: a Blind Hunter that sees only the diff, an Edge Case Hunter with project read access, and an Acceptance Auditor that checks the diff against a spec file. Findings from all layers are merged, deduplicated, and classified.

Can code review work without a spec or story file?▼

Yes, it runs in no-spec mode where the Acceptance Auditor layer is skipped. Findings are still reviewed by the Blind Hunter and Edge Case Hunter, but decision-needed classification is unavailable and nothing is persisted to a story file.

How are code review findings classified and handled?▼

Each finding is classified as decision-needed, patch, defer, or dismiss. Patch findings can be applied automatically, decision-needed findings require your input, defer items are logged to a deferred-work file, and dismiss items are dropped as noise.

Does the review update sprint status automatically?▼

Yes, when a story key is known it updates the story file status to done or in-progress based on review outcome and syncs the matching entry in sprint-status.yaml. If no story key exists, only the story file is updated.

What happens if a review subagent fails or times out?▼

The failed layer name is recorded and the review proceeds with findings from the remaining layers. If all findings end up empty while layers failed, the Skill warns that the review may be incomplete instead of declaring a clean pass.