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Shmayro
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reviewing

Analyze score history, registry data, and telemetry to report skill health status.

27|2|Updated Mar 18, 2026
Search Tags:#review#telemetry#assessment#maturity#singularity#skill-health
One-click install
npx skills add https://github.com/Shmayro/singularity-claude --skill reviewing-shmayro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reviewing
Source: https://github.com/Shmayro/singularity-claude/tree/main/skills/reviewing
Command: npx skills add https://github.com/Shmayro/singularity-claude --skill reviewing-shmayro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies and reports the health status of a singularity-managed skill to guide maintenance decisions and lifecycle planning.

Core Features & Use Cases

  • Data aggregation: collects score history, registry data, and recent telemetry to form a complete health picture.
  • Metric computation: derives current version, maturity, average score, score trend, execution counts, edge-case handling, staleness, and repair history.
  • Recommendations: generates actionable guidance on repairs, crystallization, or continued use based on health signals.
  • Reporting: outputs a structured health report suitable for dashboards and reviews.
  • Deep analysis option: can dispatch a gap detector analysis to identify opportunities for splitting, merging, or alternative approaches when weaknesses are detected.

Quick Start

Run /singularity-review <skill-name> to generate a health report for that skill.

Frequently Asked Questions about reviewing

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

FAQPage Schema
How do I assess skill health and track maturity from telemetry data?▼

Skill health assessment analyzes telemetry, score history, and registry data to compute maturity metrics, identify version trends, and generate maintenance recommendations for managed skills.

What metrics are used to evaluate skill maturity and guide maintenance decisions?▼

Skill maturity evaluation computes current version, average score, score trend, execution counts, edge-case handling, staleness, and repair history to guide maintenance and lifecycle planning.

How do I generate a health report for a singularity-managed skill?▼

Generate a skill health report by running the review command on a target skill name, which aggregates telemetry and registry data to output structured maintenance guidance for dashboards.

When should I crystallize or repair a skill based on its health signals?▼

Repair or crystallize a skill when health signals indicate declining score trends, high staleness, or execution edge-case failures, using generated recommendations to decide between fixes or lifecycle crystallization.

Can I detect gaps and opportunities to split or merge skills during a health review?▼

Detect skill gaps by dispatching a deep analysis gap detector during the health review, which identifies opportunities for splitting, merging, or adopting alternative approaches when weaknesses are detected.

Does skill health monitoring require any external dependencies or components?▼

Skill health monitoring operates standalone without external dependencies or components, relying entirely on internal registry data, ingested telemetry, and computed score history to produce maintenance reports.

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