review

Audit auto-memory content for promotion, stale entries, and consolidation.

Updated Apr 2, 2026

Search Tags:#audit #review #consolidation #promotion #auto-memory

Ready to run

npx skills add https://github.com/4lerman/text_evaluator --skill review-4lerman

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review
Source: https://github.com/4lerman/text_evaluator/tree/main/.agents/skills/engineering-skills/self-improving-agent/skills/review
Command: npx skills add https://github.com/4lerman/text_evaluator --skill review-4lerman

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill unit offers a comprehensive audit of auto-memory for identifying candidates for promotion, outdated entries, consolidation opportunities, and health metrics.

Core Features & Use Cases

Auto-Memory Audit: Perform an in-depth review of auto-memory content.
Identify Candidates: Locate entries suitable for promotion based on recurrence, general applicability, and actionability.
Stale Entries: Detect outdated information or references that no longer exist.
Consolidation Opportunities: Merge repetitive entries into a single, concise rule.
CLAUDE.md Integration: Ensure compatibility with project rules and guidelines.

Quick Start

To start the review process, execute the command /si:review.

Frequently Asked Questions about review

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

FAQPage Schema

How do I audit auto-memory content to identify outdated entries?▼

You can audit auto-memory content by executing the review command, which performs an in-depth scan to detect outdated entries, stale references, and identifies consolidation opportunities for auto-memory optimization.

What is the best way to consolidate repetitive auto-memory entries?▼

Consolidating repetitive auto-memory entries involves running an audit that identifies duplicate rules and merges them into a single, concise entry, reducing clutter and improving overall auto-memory health.

How do I identify entries suitable for promotion in auto-memory?▼

Identifying entries suitable for promotion requires auditing auto-memory based on recurrence, general applicability, and actionability, ensuring high-value entries are promoted effectively within the system.

Does auto-memory review ensure compatibility with CLAUDE.md project rules?▼

Yes, the auto-memory review integrates with CLAUDE.md to ensure all reviewed entries comply with project rules and guidelines, providing actionable insights for any necessary adjustments.

What auto-memory health metrics are checked during a review?▼

During an auto-memory review, health metrics are checked by identifying candidates for promotion, outdated entries, and consolidation opportunities, providing a comprehensive overview of auto-memory status.