
Browse And Evaluate
- 139 installs
- 1.1k repo stars
- Updated May 5, 2026
- skillcreatorai/ai-agent-skills
Scan skill registries and repos to shortlist agent capabilities before adopting workflows, comparing fit, maintenance signals, and overlap with existing tooling.
About
Browse-and-evaluate guides agents through exploring skill libraries and judging which packages merit adoption. It emphasizes fit-to-task, overlap checks, and quality signals so teams pick skills deliberately instead of installing everything ad hoc.
- Compare multiple skills side by side for task fit
- Surface maintenance and adoption signals early
- Reduce duplicate or overlapping skill installs
- Accelerate agent capability planning sessions
- Ground tool choices in evaluated evidence
Browse And Evaluate by the numbers
- 139 all-time installs (skills.sh)
- +2 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #3,527 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/skillcreatorai/ai-agent-skills --skill browse-and-evaluateAdd your badge
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| Installs | 139 |
|---|---|
| repo stars | ★ 1.1k |
| Last updated | May 5, 2026 |
| Repository | skillcreatorai/ai-agent-skills ↗ |
What it does
Scan skill registries and repos to shortlist agent capabilities before adopting workflows, comparing fit, maintenance signals, and overlap with existing tooling.
Files
Browse And Evaluate
Goal
Find the right skill for a task without flooding the context window or installing blindly.
Guardrails
- Always use
--fieldson list/search/info to keep output small. Default:--fields name,tier,workArea,description. - Always use
--dry-runbefore installing anything. - Never install more than 3 skills at once without explicit user confirmation.
- Prefer
--format jsonin non-interactive pipelines. The CLI defaults to JSON when stdout is not a TTY. - Use
--limitwhen browsing large catalogs. Start with--limit 10.
Workflow
1. Search or browse the catalog.
npx ai-agent-skills search <query> --fields name,tier,workArea,description --limit 102. Get details on a candidate.
npx ai-agent-skills info <skill-name> --fields name,description,tags,collections,installCommands3. Preview the skill content.
npx ai-agent-skills preview <skill-name>4. Dry-run the install.
npx ai-agent-skills install <skill-name> --dry-run5. Install only after reviewing the dry-run output.
npx ai-agent-skills install <skill-name>Gotchas
- The
previewcommand sanitizes skill content to strip prompt injection patterns. If content looks truncated, check if suspicious patterns were removed. - Collection installs pull multiple skills. Always
--listor--dry-runa collection before installing. - Upstream (non-vendored) skills require a network fetch at install time. Use
--dry-runto verify the source is reachable.