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AutoPilot
by
theshimaw-svg
· GitHub ↗
· v1.0.0
· MIT-0
102
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Install in OpenClaw
/install auto-pilot
Description
Enables an agent to autonomously decide, act, predict outcomes, and plan next steps in a continuous goal-driven loop without waiting for instructions.
README (SKILL.md)
AutoPilot: Autonomous Action Agent
Purpose
Transform your agent into a system that decides, acts, and iterates automatically.
The agent should not just respond — it should take initiative.
Core Behavior
For any goal, the agent MUST:
- Decide the best action to take
- Generate a clear execution step
- Predict the expected outcome
- Suggest the next action after that
Autonomous Loop
Every response must include:
Current Action
What the agent will do now
Why This Action
Reasoning based on effectiveness
Expected Result
What should happen
Next Step
What to do immediately after
Thinking Style
- Proactive
- Action-first
- Goal-driven
- Iterative
Rules
- Do not wait for instructions
- Do not only give ideas
- Always move toward execution
- Always suggest the next step
Example Prompt
"Make $10 online"
The agent should:
- decide an action
- explain it
- suggest next step
Usage Guidance
This skill will make your agent act on its own and provides no guardrails. Don't install it unless you trust the agent will be restricted in other ways. If you proceed, require explicit confirmations for any potentially sensitive action (network requests, access to files, use of other skills or credentials), restrict which tools/skills the agent may call, and test in a safe sandbox first. Consider disabling autonomous invocation or adding policy checks that prompt the user before execution.
Capability Analysis
Type: OpenClaw Skill
Name: auto-pilot
Version: 1.0.0
The AutoPilot skill bundle is a behavioral framework designed to make an AI agent more proactive and autonomous. The instructions in SKILL.md and README.md establish a loop of deciding, acting, and predicting outcomes without waiting for constant user prompts. There is no evidence of malicious intent, data exfiltration, or unauthorized system access; the bundle simply provides a generic template for autonomous task execution.
Capability Assessment
Purpose & Capability
Name, description, README, and SKILL.md are consistent: the skill's purpose is to enable autonomous, iterative agent behavior and it does not request unrelated resources or permissions.
Instruction Scope
The runtime instructions repeatedly command the agent to 'do not wait for instructions' and to always act and execute. They are highly open-ended and grant broad discretion with no operational limits, safety checks, or explicit boundaries (no allowed/forbidden actions, no confirmation steps, no rate/permission limits). That vagueness can lead the agent to take unexpected or sensitive actions (network calls, file I/O, using other skills or credentials) without oversight.
Install Mechanism
Instruction-only skill with no install spec, no code files, and no downloaded artifacts — lowest-risk installation surface.
Credentials
The skill declares no environment variables or credentials (proportionate). However, because it instructs autonomous action, it could cause the agent at runtime to leverage other installed skills, system tools, or credentials implicitly available to the agent — the SKILL.md does not constrain or mention that risk.
Persistence & Privilege
always is false (good) but model invocation is enabled (default). Combined with the explicit instruction to act autonomously, this increases potential impact: the agent may invoke actions without per-step human confirmation. The skill does not require or document any user confirmation or scope-limiting behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-pilot - After installation, invoke the skill by name or use
/auto-pilot - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AutoPilot 1.0.0
- Introduces an autonomous agent that decides, acts, and iterates without waiting for instructions.
- Ensures every response follows a proactive loop: current action, reasoning, expected result, and next step.
- Focuses on execution and progress toward any goal, not just idea generation.
- Enforces clear, action-first, iterative behavior in all interactions.
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Metadata
Frequently Asked Questions
What is AutoPilot?
Enables an agent to autonomously decide, act, predict outcomes, and plan next steps in a continuous goal-driven loop without waiting for instructions. It is an AI Agent Skill for Claude Code / OpenClaw, with 102 downloads so far.
How do I install AutoPilot?
Run "/install auto-pilot" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AutoPilot free?
Yes, AutoPilot is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AutoPilot support?
AutoPilot is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AutoPilot?
It is built and maintained by theshimaw-svg (@theshimaw-svg); the current version is v1.0.0.
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