vstorm-code-review

Reviews pull requests through a staged multi-subagent pipeline with a shared finding taxonomy.

49|11|Updated Jul 31, 2026
One-click install
npx skills add https://github.com/vstorm-co/agenticos --skill vstorm-code-review-vstorm-co
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vstorm-code-review
Source: https://github.com/vstorm-co/agenticos/tree/main/.claude/skills/vstorm-code-review
Command: npx skills add https://github.com/vstorm-co/agenticos --skill vstorm-code-review-vstorm-co

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Automated code reviews often produce noise, surface irrelevant issues, and keep re-raising findings after fixes. This Skill runs a convergent, high-signal review where every candidate finding is raised, filed, or refuted with proof, and re-reviews reconcile against a durable ledger instead of re-scanning from scratch. ## Core Features & Use Cases - Staged subagent pipeline: Scope, Correctness, Security, and Quality finders run in parallel, followed by Verification and a Judge, each as a dedicated subagent on one configurable model (default Claude Opus 4.8). - Shared finding taxonomy: every finding is classified by severity, commonality, origin, and type, carries a verification status and a stable ID, and routes to a review comment, a GitHub issue proposal, or none. - First review and re-review modes: re-reviews anchor to the stamped commit SHA, reconcile prior findings as fixed, refuted, dismissed, or re-raised, and catch new defects introduced by fix commits. - Use Case: After resolving merge conflicts on a pull request, run the skill to post a GitHub review with inline findings; after pushing fixes, run it again so it verifies each fix and only re-raises what is still broken. ## Quick Start Ask the AI to run the vstorm-code-review skill on the current pull request, optionally passing a model such as claude-sonnet-4-5 for a cheaper pass.

Frequently Asked Questions about vstorm-code-review

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

FAQPage Schema
How do I run an automated code review on a pull request?▼

Invoke the skill on the pull request after merge conflicts are resolved. It runs Scope, Correctness, Security, and Quality finder subagents in parallel, then Verification and a Judge, and posts one GitHub review with a summary plus an inline comment per raised finding.

How does re-review of already reviewed code work?▼

Re-review anchors to the commit SHA stamped in the prior review, reads existing comments to reconstruct finding statuses, and scans only the diff since that baseline. Fixed findings get a resolution note, unfixed ones are re-raised at full severity, and new defects in fix commits are raised.

Can I use a cheaper model than Claude Opus for code review?▼

Yes, pass a model argument such as claude-sonnet-4-5 when invoking the skill. Every subagent in the pipeline, from Scope through the Judge, is spawned on that model's tier so the whole review grades consistently.

Does the skill create or close GitHub issues automatically?▼

No, the skill only proposes a GitHub issue destination for pre-existing or unfixed minor findings in its output. A human files the issue from the proposal; review agents never create or close GitHub issues autonomously.

Why does an unverified blocking finding not block the merge?▼

Only verified findings gate the merge, so a possibly hallucinated blocker cannot freeze it. An unverified blocking finding is still raised but behaves as major until concrete evidence, such as a runtime reproduction or airtight static trace, promotes it.

When should I not run this code review skill?▼

Do not run it while the pull request still has unresolved merge conflicts. It is also unnecessary for negligible or unreachable issues, which the taxonomy explicitly routes to no destination rather than raising them.