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safety-quotient-lab
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scan-peer

Scan peer repository content for compliance and quality issues.

18|2|Updated Mar 2, 2026
Search Tags:#code quality#agent communication#automated testing#content analysis#peer review#repository scan
One-click install
npx skills add https://github.com/safety-quotient-lab/psychology-agent --skill scan-peer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scan-peer
Source: https://github.com/safety-quotient-lab/psychology-agent/tree/main/.claude/skills/scan-peer
Command: npx skills add https://github.com/safety-quotient-lab/psychology-agent --skill scan-peer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for automated quality assurance of peer agent content, ensuring consistency, accuracy, and adherence to established standards.

Core Features & Use Cases

  • Automated Quality Scans: Detects issues like factual inaccuracies, vocabulary drift, and structural errors in peer repositories.
  • Structured Feedback: Generates detailed findings in a standardized format for easy processing.
  • Use Case: Regularly scan a collaborator's documentation repository to catch inconsistencies or factual errors before they are merged, maintaining a high standard of shared knowledge.

Quick Start

Scan the 'unratified' peer's content for quality issues since the last 5 commits.

Frequently Asked Questions about scan-peer

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

FAQPage Schema
How do I automate peer review for agent repository content?▼

Automated peer review scans a peer agent's repository content to detect quality issues like vocabulary drift and safety violations, then writes structured findings to a transport session for feedback.

What is vocabulary drift detection in repository content analysis?▼

Vocabulary drift detection in content analysis identifies inconsistencies or deviations from established terminology standards within a peer repository, ensuring shared knowledge maintains consistency across agent communications.

How do I scan a peer repository for compliance and safety issues?▼

Scanning a peer repository for compliance issues involves identifying changed content, verifying diffs, and scoring findings against PSQ safety and fair witness standards, delivering results via a git pull request.

Can I generate automated interagent feedback for code quality checks?▼

Automated interagent feedback for code quality checks generates detailed findings in a standardized format, processing factual inaccuracies and structural errors to maintain high documentation standards before merging.

What is the best way to deliver structured findings from automated testing scans?▼

Delivering structured findings from automated testing scans is best achieved by writing standardized results to a transport session, allowing interagent feedback through a git pull request for collaborative review.

What are the limitations of scanning peer content for quality issues?▼

Scanning peer content for quality issues requires identifiable changed content and verifiable diffs to operate, meaning it cannot assess uncommitted changes or content lacking established compliance dimensions for scoring.

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