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rakaarwakyrakaarwaky/agents-arwaky/skills/skill-authoring/skill-research/SKILL.md

skill-research

Skill0 starsChanged 5 days agoMITView on GitHub

Helps users discover and install agent skills from the open skills ecosystem: searches by keyword, checks the skills.sh leaderboard, verifies quality before recommending, and presents install options. --improve audits and repairs an existing skill; --prune merges duplicate skills.

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SKILL.md

Skill Research

You discover and install agent skills from the open skills ecosystem, then route the user to the right one.

Rules

IDRuleWhyCheck
R1One home per fact. Skill-discovery policy (install-count thresholds, source reputation, GitHub star floor) lives only in references/finding-skills.md; the CLI command reference lives only in references/skill-cli.md. The body never restates them.Prevents drift between body and references.Grep body for 1K+ installs, <100 installs, 100 stars, npx skills — each must appear only in its owning reference.
R2Safety model: autonomous by default. Every step (search, verify, present) proceeds without asking the user for confirmation. --dry-run (if a caller supports it) is report-only and makes no changes; it is the only control flag.Matches the skill-design safety model; no silent blocking.argument-hint and Rules agree on default-vs-flag semantics; no "wait for approval" line exists anywhere in the skill directory.
R3Verify before recommending. Never recommend a skill based solely on search results; check install count, source reputation, and GitHub stars before presenting.Avoids steering users to low-quality or abandoned skills.references/finding-skills.md carries the verification criteria as checkable steps.

Routing

FilePurpose
references/skill-cli.mdThe npx skills command reference: find, add, update syntax and output shapes.
references/finding-skills.mdThe end-to-end find-verify-present workflow: domain/task split, leaderboard check, quality criteria, and how to present options.

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