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AutoPilot

v1.0.0

Enables an agent to autonomously decide, act, predict outcomes, and plan next steps in a continuous goal-driven loop without waiting for instructions.

0· 95·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for theshimaw-svg/auto-pilot.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AutoPilot" (theshimaw-svg/auto-pilot) from ClawHub.
Skill page: https://clawhub.ai/theshimaw-svg/auto-pilot
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install auto-pilot

ClawHub CLI

Package manager switcher

npx clawhub@latest install auto-pilot
Security Scan
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OpenClawOpenClaw
Suspicious
medium confidence
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.
What to consider before installing
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk972k461k743xxb78tms4ggq3n84dtne
95downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

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:

  1. Decide the best action to take
  2. Generate a clear execution step
  3. Predict the expected outcome
  4. 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

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