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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-evaluate

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Listed on Skillselion
Installs139
repo stars1.1k
Last updatedMay 5, 2026
Repositoryskillcreatorai/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

SKILL.mdMarkdownGitHub ↗

Browse And Evaluate

Goal

Find the right skill for a task without flooding the context window or installing blindly.

Guardrails

  • Always use --fields on list/search/info to keep output small. Default: --fields name,tier,workArea,description.
  • Always use --dry-run before installing anything.
  • Never install more than 3 skills at once without explicit user confirmation.
  • Prefer --format json in non-interactive pipelines. The CLI defaults to JSON when stdout is not a TTY.
  • Use --limit when 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 10

2. Get details on a candidate.

npx ai-agent-skills info <skill-name> --fields name,description,tags,collections,installCommands

3. Preview the skill content.

npx ai-agent-skills preview <skill-name>

4. Dry-run the install.

npx ai-agent-skills install <skill-name> --dry-run

5. Install only after reviewing the dry-run output.

npx ai-agent-skills install <skill-name>

Gotchas

  • The preview command sanitizes skill content to strip prompt injection patterns. If content looks truncated, check if suspicious patterns were removed.
  • Collection installs pull multiple skills. Always --list or --dry-run a collection before installing.
  • Upstream (non-vendored) skills require a network fetch at install time. Use --dry-run to verify the source is reachable.

Related skills

AI & Agent Buildingagentsautomationresearch

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