find-skills

# Find Skills with OpenAgentSkill Turn the user's task into an evidence-backed shortlist. Do not recommend a skill only because its repository is popular. ## Workflow 1. Resolve the task with the public endpoint: `GET https://www.openagentskill.com/api/agent/resolve?task=<encoded-task>&agent=<agent-name>` 2. Read `selected`, `recommendation_lanes`, `policy_decision`, and at least three entries from `alternatives` when they exist. 3. Before installing, open the selected Skill's `urls.audit` and inspect its repository source, license, permissions, setup requirements, and freshness. 4. Use `install_plan.command` only when the policy allows it. If human review is required, present the risks and ask for approval. Never install a blocked Skill. 5. Run one narrow verification task in a sandbox or low-risk workspace. 6. Report the result to the returned feedback endpoint with its unique `event_id`. Report success only when installation and the verification task both succeeded. ## CLI The official release can perform the same workflow: `npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz find "<task>"` Use `resolve` for the complete decision object and `add <slug> --dry-run` before a reviewed install. Anonymous telemetry can be disabled with `--no-telemetry` or `OPENAGENTSKILL_TELEMETRY=0`. ## Decision rules - Prefer task fit, safety, verified outcomes, and maintenance over raw stars. - Treat reposi...