Fähigkeiten error-debugging-multi-agent-review
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error-debugging-multi-agent-review

Sicher

Orchestrate Multi-Agent Code Reviews

Coordinate multiple AI agents to perform comprehensive code reviews with specialized expertise in security, architecture, performance, and quality domains.

UnterstĂĽtzt: Claude Codex Code(CC)
🥉 74 Bronze
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Teste es

Verwendung von "error-debugging-multi-agent-review". Review my web application for security issues

Erwartetes Ergebnis:

  • Security findings: SQL injection risk in user input handling
  • XSS vulnerability in dashboard rendering
  • Missing authentication middleware on /admin routes

Verwendung von "error-debugging-multi-agent-review". Analyze my microservices architecture

Erwartetes Ergebnis:

  • Architecture recommendation: Implement circuit breaker pattern
  • Design pattern: Consider event-driven communication between services
  • Compliance: API versioning strategy needed

Verwendung von "error-debugging-multi-agent-review". Check performance bottlenecks

Erwartetes Ergebnis:

  • Performance issue: N+1 query in user service
  • Optimization: Add caching layer for frequently accessed data
  • Memory concern: Large dataset loading without pagination

Sicherheitsaudit

Sicher
v1 • 2/24/2026

All 27 static findings are false positives. The skill is a markdown documentation file describing a multi-agent code review orchestration tool. The scanner incorrectly identified markdown code fences as shell commands, and random text as cryptographic algorithms. No actual security risks were found. This is a safe, legitimate skill for coordinating AI-powered code reviews.

1
Gescannte Dateien
219
Analysierte Zeilen
0
befunde
1
Gesamtzahl Audits
Keine Sicherheitsprobleme gefunden
Auditiert von: claude

Qualitätsbewertung

38
Architektur
100
Wartbarkeit
87
Inhalt
50
Community
100
Sicherheit
91
Spezifikationskonformität

Was du bauen kannst

Comprehensive Security Review

Run coordinated security audits across a codebase by routing to security-specialized agents

Architecture Validation

Validate system design and architecture patterns through sequential architecture-focused reviews

Performance Analysis

Identify performance bottlenecks by coordinating performance analysis agents across code sections

Probiere diese Prompts

Basic Multi-Agent Review
Use the error-debugging-multi-agent-review skill to review my codebase for quality issues. Target: $ARGUMENTS
Security-Focused Review
Use the error-debugging-multi-agent-review skill to perform a security audit. Route primarily to security-auditor agents. Target: $ARGUMENTS
Hybrid Parallel Review
Use the error-debugging-multi-agent-review skill to run parallel security and architecture reviews. Target: $ARGUMENTS
Sequential Workflow Review
Use the error-debugging-multi-agent-review skill to run sequential design-review, implementation-review, and testing-review phases. Target: $ARGUMENTS

Bewährte Verfahren

  • Define clear agent roles and expertise areas before starting reviews
  • Use parallel execution for independent review types to save time
  • Implement conflict resolution to handle disagreements between agents

Vermeiden

  • Running too many agents in parallel which creates conflicting outputs
  • Skipping sequential phases when agent insights depend on previous results
  • Not aggregating and synthesizing results into a unified report

Häufig gestellte Fragen

What agents are available in this skill?
The skill supports Code Quality Reviewers, Security Auditors, Architecture Specialists, Performance Analysts, Compliance Validators, and Best Practices Experts.
Can I run agents in parallel?
Yes, the skill supports hybrid execution with parallel agents for independent reviews and sequential processing for dependent insights.
Does this skill execute code?
No, this is an orchestration skill that coordinates AI agents. It does not directly execute code or perform security scanning.
How does conflict resolution work?
The skill detects contradictory recommendations, applies weighted scoring based on agent expertise, and escalates complex conflicts for human review.
What input formats are supported?
The skill accepts file paths, Git repository references, and code snippets as input for review.
Is this skill suitable for production security reviews?
This skill coordinates AI-powered reviews but should complement, not replace, dedicated security tools and manual expert review for production systems.

Entwicklerdetails

Dateistruktur

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