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Ranking Methodology

This page explains the methodology behind all rankings, scores, and recommendation lists on the OpenClaw MasterClass site. We are committed to a transparent, reproducible evaluation process so readers understand the basis behind each recommendation.


Scope

This methodology applies to:

ListPage
Top 50 Must-Install Skills/docs/top-50-skills/overview
Top 30 Reddit Showcases/docs/reddit/top-30-showcases
Top 10 Community Recommendations/docs/communities/top-10
Resource Recommendations/docs/resources/ series

Data Sources

Primary Sources (Directly Verified)

SourcePurposeVerification
OpenClaw GitHub RepositoryVersion info, Issues, PRsDirect access
ClawHub PlatformSkill info, installs, ratingsDirect access
Reddit Original PostsShowcase content, votesLink verification
Official DocumentationArchitecture, API, configurationDirect access
CVE DatabaseSecurity vulnerability informationOfficial source

Secondary Sources (Indirect Reference)

SourcePurposeReliability
Reddit commentsCommunity feedback, experiencesMedium
Discord discussionsReal-time feedback, issue reportsMedium
Blog articlesTutorials, reviewsMedium-High
Security research reports (Bitdefender, etc.)Security analysisHigh

Top 50 Skills Methodology

Scoring Dimensions (8 dimensions, 10 points each, total 80)

  • REL — Relevance to most users
  • COM — Compatibility with OpenClaw ecosystem
  • TRC — Community traction (downloads, usage)
  • VAL — Value delivered to users
  • MNT — Maintenance quality and frequency
  • RLB — Reliability and stability
  • SEC — Security posture
  • LRN — Learning value for understanding AI Agent architecture

Ranking Rules

  1. Sort by total score descending
  2. Ties broken by security score
  3. Further ties broken by install count
  4. Skills with security score below 5/10 are excluded

Update Frequency

ListFrequencyNext Update
Top 50 SkillsMonthlyApril 2026
Top 30 ShowcasesMonthlyApril 2026
Top 10 CommunitiesQuarterlyJune 2026
Security GuidesImmediately on major eventsOngoing

Disclosure

OpenClaw MasterClass is a community-driven learning resource, not an official OpenClaw website.

  • This site does not accept sponsorship from skill developers or service providers
  • All recommendations are based on the publicly stated methodology above
  • The editorial team holds no financial interest in recommended products
  • Any future sponsorship or partnerships will be explicitly disclosed here

Feedback

If you believe a ranking is unfair, information is inaccurate, or something is missing, please provide feedback via:

  1. GitHub IssueSubmit feedback
  2. Reddit — Discuss on r/openclaw
  3. Discord — Leave a comment in the #feedback channel

Changelog

DateChange
2026-03-20Initial methodology published

Further Reading