find-skills
Find, compare, audit, and safely install reusable AI agent skills from OpenAgentSkill. Use when a user asks for a skill, plugin, reusable agent workflow, or the best tool for a task.
Install
npx skills add https://github.com/Leon-Drq/openagentskill/tree/main/skills/find-skills
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install leon-drq-openagentskill@llmmart
git clone https://github.com/Leon-Drq/openagentskill.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole leon-drq/openagentskill collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
Resolve the task with the public endpoint:
GET https://www.openagentskill.com/api/agent/resolve?task=<encoded-task>&agent=<agent-name>Read
selected,recommendation_lanes,policy_decision, and at least three entries fromalternativeswhen they exist.Before installing, open the selected Skill's
urls.auditand inspect its repository source, license, permissions, setup requirements, and freshness.Use
install_plan.commandonly when the policy allows it. If human review is required, present the risks and ask for approval. Never install a blocked Skill.Run one narrow verification task in a sandbox or low-risk workspace.
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 repository stars as a project-level popularity signal, not proof that every nested Skill has equivalent adoption.
- If no candidate fits, say so and use the agent's native tools instead of forcing an unrelated recommendation.
Files (openagentskill)
-
SKILL.md 2.1 KB
--- name: find-skills description: Find, compare, audit, and safely install reusable AI agent skills from OpenAgentSkill. Use when a user asks for a skill, plugin, reusable agent workflow, or the best tool for a task. license: MIT compatibility: Requires internet access to www.openagentskill.com. Installation commands require Node.js 20+. metadata: author: OpenAgentSkill homepage: https://www.openagentskill.com/resolve --- # 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 repository stars as a project-level popularity signal, not proof that every nested Skill has equivalent adoption. - If no candidate fits, say so and use the agent's native tools instead of forcing an unrelated recommendation.
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