Agent skill · Code Review & Quality

agent-cross-review

Structured cross-review protocol between specialized agents. Ensures scope alignment, priority calibration, and domain-aware feedback. Use when one agent reviews another's work, during handoffs, or when validating cross-cutting concerns.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agent-cross-review-1ambda-dataops-platform-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/agent/agent-cross-review-1ambda-dataops-platform-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent Cross-Review Protocol for structured collaboration between specialized agents. ## When to Use - One agent reviewing another's output - Handoff between feature and expert agents - Validating cross-cutting concerns - Resolving conflicting recommendations ## Core Principle > **Review in domain, defer on scope.** Each agent excels in their specialty. Cross-review catches blind spots without overstepping boundaries. --- ## Review Protocol ### Step 1: Scope Identification Before reviewing, identify: ```markdown ## Cross-Review Context | Item | Value | |------|-------| | Reviewer | {agent-name} | | Author | {agent-name} | | Artifact | {file or output} | | Review Type | Technical / Structural / Integration | ``` ### Step 2: Domain Check | Reviewer Type | Review Focus | Defer On | |---------------|--------------|----------| | **Feature Agent** | Structure, naming, coverage | Pytest patterns, DRY | | **Expert Agent** | Code quality, patterns | Project conventions | | **Architecture** | Boundaries, dependencies | Implementation details | ### Step 3: Calibrated Feedback Use priority tiers: ```markdown ### Cross-Review: {artifact} **CRITICAL** (blocks merge) - [Issue affecting correctne

What's inside
Steps it walks through
  1. When to Use
  2. Core Principle
  3. Review Protocol
  4. Step 1: Scope Identification
  5. Step 2: Domain Check
  6. Step 3: Calibrated Feedback
  7. Role-Specific Protocols
  8. feature-interface-cli Reviewing expert-python
  9. expert-python Reviewing feature-interface-cli
  10. Handoff Protocol
  11. From Feature Agent to Expert Agent
  12. From Expert Agent to Feature Agent
  13. Conflict Resolution
  14. Priority Framework
Ships with 1 file
  • metadata.json
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About this skill
What does the agent-cross-review skill do?

Structured cross-review protocol between specialized agents. Ensures scope alignment, priority calibration, and domain-aware feedback. Use when one agent reviews another's work, during handoffs, or when validating cross-cutting concerns.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-cross-review-1ambda-dataops-platform-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going