
Agentpilot
Prepare and run AgentPilot improvements through one entry.
Install
npx skills add HKUDS/AgentPilot --skill agentpilot -g -a claude-code -y- Repository
- HKUDS/AgentPilot7.8k
- Category
- AI and agents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 1,168 tokens
- Runs scripts
- No, instructions only
What it does
Prepare and run AgentPilot improvements through one entry. Use when the user requests AgentPilot or iterative improvement with it. The current agent fills missing task/evaluation inputs, then hands a ready environment to the configured AgentPilot runner.
AgentPilot
Use this one entry to prepare inputs and run the real AgentPilot proposer → worker → eval loop. Read the user's goal, project instructions and relevant existing configuration, preserving their edits and choices. The current agent prepares and operates the runner; the configured engine owns improvement decisions and policy updates.
Choose the workflow
- An existing formal run or runnable RSI configuration fits the request: follow references/formal.md and its existing task, evaluation, worker and budget. Resume its own records when continuing a run. Examples or templates elsewhere in a repository do not by themselves select an experiment.
- The task, evaluation or runnable setup is missing: prepare it in the current conversation as described below, then reassess readiness and continue through the same entry. You do not need a session or JSON handoff to begin investigating. A test command alone is not a configured Arena environment.
The installed core launcher, when needed:
{{AGENTPILOT_COMMAND}}
Prepare incomplete inputs
Use your normal reading, editing and command tools. Understand what the project does and inspect relevant tests or failures. Without an explicit task, infer a focused improvement from real project evidence; if the project and conversation cannot establish what to do, ask only for the missing information. A bare invocation is valid, but an empty project is not a reason to invent requirements.

