Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Review an open GitHub pull request or the current local branch and working tree with parallel, independent reviewers and evidence-based validation. Use when the user asks for code review, invokes the Code Review action from Git Review, or explicitly mentions this skill.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 46% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 13% | 0% |
Review one captured change-set snapshot with independent reviewers, validate every candidate finding, and report only high-confidence problems introduced by that change set.
This is an independent LiveAgent workflow modeled on Anthropic's public Claude Code Code Review plugin. The instructions and implementation are original to LiveAgent and are not affiliated with or endorsed by Anthropic.
gh only for read-only PR discovery and metadata when the selected target is a pull request.git and gh operations in the parent agent. Readonly subagents cannot run shell commands, so collect and pass every required artifact to them.gh and authentication only in PR mode.AGENTS.md and each changed file's applicable ancestor AGENTS.md files from the captured PR revision or local snapshot. Include only instructions whose scope covers that file.If the selected target has no reviewable diff, or any changed-file list, diff, instruction, untracked file, or required metadata cannot be captured completely, stop with a skipped or incomplete result and explain why. An explicit user request takes precedence over heuristics about author, size, or triviality.
Plan fresh reviewer jobs across the four roles below. For a small change set, use one Agent tool call to launch four reviewers in parallel with mode=readonly, resume=false, and concurrency 4. For a large change set, create one job per role and lossless diff shard, then launch those jobs in parallel batches of no more than 8. Reviewers receive no parent-conversation context automatically, so every prompt must contain its assigned diff, changed-file manifest, applicable instructions, change intent, target identity, and all role-specific evidence.
AGENTS.md and repository rules.For a small change set, each reviewer receives the complete diff. For a large change set, shard by changed files or lossless diff slices so prompts remain usable. Each reviewer must cover its entire assigned shard, and the parent must verify separately for all four roles that the union of successful shards covers every changed file.
Require each reviewer to return one concise JSON object:
json{ "complete": true, "reviewedFiles": ["path/to/file"], "findings": [ { "id": "stable-id", "title": "short imperative title", "path": "path/to/file", "line": 123, "category": "bug", "evidence": "specific evidence", "explanation": "why the captured change introduces the problem" } ] }
A missing, cancelled, malformed, or complete=false required reviewer makes the review incomplete. Do not replace a failed reviewer with your own unsupported conclusion.
mode=readonly and resume=false. Run validators in parallel batches of no more than 8.valid, confidence from 0 to 100, path, line, and concrete evidence.valid=true and confidence >= 80.Reject findings that are pre-existing, outside changed code without a concrete unmet requirement, subjective style preferences, formatter or linter noise, generic requests for more tests, speculative risks without a reachable failure, intentional behavior, or duplicates. Clear build-blocking syntax, import, and type failures visible in the changed code remain valid.
Before reporting a surviving finding, verify that its path and line identify changed code in the captured head revision. Deduplicate findings by root cause, keeping the clearest evidence.
Return a concise review containing:
complete, skipped, or incomplete.Keep reviewer and validator narration brief. Existing Agent tool cards provide detailed progress and results.
Other measured skills in the registry, with their headline benchmark lift.