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ci-code-review

Reviews pull requests with parallel agents for bugs, security, and tech debt.

1.0k|330|Updated May 18, 2023
Search Tags:#security review#Automation#ci#gitHub#Code review#Bug detection#Pull request
One-click install
npx skills add https://github.com/a16z/jolt --skill ci-code-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ci-code-review
Source: https://github.com/a16z/jolt/tree/main/.claude/skills/ci-code-review
Command: npx skills add https://github.com/a16z/jolt --skill ci-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual pull request reviews are slow and often miss subtle bugs, security vulnerabilities, and architectural inconsistencies, especially in large diffs. This Skill automates deep PR analysis in CI so every change gets a thorough, consistent review.

Core Features & Use Cases

  • Parallel Deep Analysis: Runs four specialized agents covering semantic consistency, deep bug detection, tech debt, and security review on every PR.
  • Validated Findings: Scores each issue 0-100 after validation to filter out false positives before posting.
  • GitHub Integration: Posts a single review with line-specific comments and suggestion blocks directly to the PR via the GitHub API.
  • Use Case: A team merges dozens of Rust PRs weekly into a zero-knowledge VM codebase. This Skill runs in CI on each PR, flags a soundness-breaking change in the proof verifier, and posts an inline comment with a suggested fix before merge.

Quick Start

Ask the assistant to review the current pull request for bugs, security issues, and code quality, then post the findings as GitHub review comments.

Frequently Asked Questions about ci-code-review

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

FAQPage Schema
How do I automate code review on GitHub pull requests?▼

Run this Skill in CI against a PR number. It fetches the diff with the gh CLI, runs parallel analysis agents for bugs, security, and tech debt, then posts a single review with inline comments through the GitHub reviews API.

What kinds of issues does automated PR review detect?▼

It detects logic errors, edge cases, resource leaks, misuse of new abstractions, security gaps like injection risks and missing input validation, and tech debt such as weak abstractions. Each finding is validated and scored before posting.

Does this code review work with Rust projects?▼

Yes, the review agents analyze Rust code including traits, generics, enums, unsafe blocks, and error handling patterns. It was built for the Jolt Rust codebase but applies to other languages as well.

How does the review avoid false positive comments?▼

Every issue scored 50 or higher goes through a mandatory validation step that reasons through whether the bug is real and exploitable. Pre-existing issues, linter-catchable problems, and pedantic nitpicks are explicitly skipped.

Can the review post suggested fixes to GitHub?▼

Yes, comments can include GitHub suggestion blocks that replace specific lines. The Skill sets line and start_line on the comment object and embeds a fenced suggestion block in the comment body.

What are the limitations of automated PR review?▼

It does not run builds or tests, relying on CI for that, and it skips closed or trivial automated PRs. Findings depend on static analysis of the diff and surrounding file context rather than runtime behavior.

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