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claw-score

Audit and refresh OpenClaw maturity scorecard docs from taxonomy and QA evidence.

388k|81.5k|Updated Nov 24, 2025
Search Tags:#taxonomy#yaml-validation#qa-evidence#Openclaw#completeness-rubric#docs-rendering#maturity-scorecard
One-click install
npx skills add https://github.com/openclaw/openclaw --skill claw-score
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claw-score
Source: https://github.com/openclaw/openclaw/tree/main/.agents/skills/claw-score
Command: npx skills add https://github.com/openclaw/openclaw --skill claw-score

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, tsx, and includes references (resource) components.

What problem does it solve?

Maintaining a consistent, evidence-backed maturity scorecard across dozens of OpenClaw surfaces is error-prone when done by hand. This Skill enforces a deterministic workflow that ties Quality, Completeness, and LTS scores to public repo evidence and redacted QA artifacts.

Core Features & Use Cases

  • Taxonomy-driven scoring: Reads taxonomy.yaml and per-surface completeness rubrics to scope each category before assigning scores.
  • Evidence-backed updates: Updates qa/maturity-scores.yaml only when backed by public docs, source, tests, or release-profile qa-evidence.json artifacts.
  • Schema and docs validation: Runs YAML schema checks via QA Lab utilities and pnpm check:docs to keep generated scorecard docs consistent.
  • Use Case: When a new provider path ships, use this Skill to score its categories, validate the YAML, and regenerate docs/maturity/scorecard.md without leaking maintainer-private data.

Quick Start

Use the claw-score skill to refresh the maturity scorecard for the anthropic-provider-path surface using the latest release profile qa-evidence.json.

Frequently Asked Questions about claw-score

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

FAQPage Schema
How do I update the OpenClaw maturity scorecard for a surface?▼

Read the surface in taxonomy.yaml, consult the matching references/completeness rubric, gather public repo evidence, and update qa/maturity-scores.yaml for Quality, Completeness, and LTS. Then run the schema validation command and pnpm check:docs.

What inputs are required to score a category?▼

Scoring requires taxonomy.yaml for feature coverage IDs, qa/maturity-scores.yaml for current state, and release-profile qa-evidence.json artifacts for executed proof. Surface-specific completeness rubrics under references/completeness/ define category scope.

Does the scorecard workflow support private maintainer evidence?▼

No. This Skill excludes discrawl data and committed inventory reports. Private evidence must be redacted into the qa-evidence.json artifact shape generated by OpenClaw QA workflows before use.

Why are generated scorecard Markdown files not hand-edited?▼

Generated docs like docs/maturity/scorecard.md come from pnpm maturity:render. Hand-editing them does not change the underlying score data and breaks the deterministic render pipeline.

What is the difference between Coverage and Completeness scores?▼

Coverage is deterministic release validation from qa-evidence.json scorecard fulfillment data. Completeness measures how fully the operator-visible workflow exists for the category, including setup, recovery, and platform variants.

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