GitHub Agent Skill Repository Popularity
GitHub stars describe a repository, not every Skill stored inside it. This chart deduplicates repositories first, then shows how many fixed Skill records SkillVetAI currently indexes from each source.
- 01repositoryGitHub source · 18 indexed Skills
anthropics/skills
Sample: academy-guide, algorithmic-art, brand-guidelines, canvas-design, claude-api
- Stars
- 173,046
- Forks
- 20,545
- Open issues
- 1,199
- 02repositoryGitHub source · 9 indexed Skills
vercel-labs/agent-skills
Sample: deploy-to-vercel, vercel-cli-with-tokens, vercel-composition-patterns, vercel-optimize, vercel-react-best-practices
- Stars
- 30,726
- Forks
- 2,734
- Open issues
- 174
- 03repositoryGitHub source · 277 indexed Skills
openai/plugins
Sample: accessibility-and-inclusive-visualization, adobe-batch-edit-photos, adobe-create-mockups, adobe-create-social-variations, adobe-design-from-template
- Stars
- 5,324
- Forks
- 765
- Open issues
- 39
How to interpret repository popularity
Stars can reflect visibility, community interest, a broader product, documentation, or many assets beyond a single Skill. Forks and issues are also repository-level activity signals rather than package quality scores.
SkillVetAI records the canonical repository, fixed commit, Skill path, file inventory, and current release hash separately. Open a Package record when you need evidence about one exact Skill.
Natural positions use repository stars, then forks, then repository name as a stable tie-break. Sponsorship cannot alter this order.