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.
Installs into .claude/skills of the current project.
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---
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.
