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Install in OpenClaw
/install openclaw-executing-plans
Description
Use when executing a written implementation plan in the current session with sequential task execution and review checkpoints - for when subagent-driven mode...
Usage Guidance
This instruction-only skill appears coherent for executing written plans, but before installing you should: 1) confirm what 'read plan file' means in your environment (which files the agent may access); 2) review the referenced dependent skills (superpowers-isolated-workspace, verification, finishing-branch, etc.) to see what permissions or credentials they require; 3) avoid putting secrets or sensitive system paths into the plan content; and 4) test the skill in an isolated environment to observe what other skills it invokes and whether any unexpected file or network access occurs. If you need higher assurance, ask for the implementations or policies of the dependent skills before enabling this one.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-executing-plans
Version: 1.0.0
The skill bundle provides a structured procedural framework for an AI agent to execute implementation plans sequentially. It includes safety-oriented instructions such as performing critical reviews, stopping on blockers to ask for clarification, and utilizing isolated workspaces (SKILL.md), with no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description match the actual instructions: sequentially load/review/execute a plan and hand off to finishing/verification skills. It does not request unrelated credentials, binaries, or installs. Declaring dependent workflow skills (isolated workspace, verification, finishing-branch, etc.) is consistent with the stated goal.
Instruction Scope
The SKILL.md tells the agent to read a plan file, produce task lists, execute steps, run validations, and invoke other named skills. This is within scope, but the instructions are high-level and grant broad discretion (e.g., 'read plan file', '按指定运行验证', batch review cadence). That vagueness could let an agent access arbitrary session files or invoke other skills with different permissions — review how 'read plan file' is resolved and what the downstream skills do.
Install Mechanism
No install spec and no code files. Instruction-only skills carry minimal install risk because nothing is written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does require other workflow skills, which themselves may request credentials; those should be evaluated separately.
Persistence & Privilege
always is false and the skill does not request persistent presence or to alter other skills' configs. It does rely on autonomous invocation (platform default) but that is normal and not by itself concerning.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-executing-plans - After installation, invoke the skill by name or use
/openclaw-executing-plans - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
OpenClaw-adapted skill for Superpowers development methodology.
Metadata
Frequently Asked Questions
What is Executing Plans?
Use when executing a written implementation plan in the current session with sequential task execution and review checkpoints - for when subagent-driven mode... It is an AI Agent Skill for Claude Code / OpenClaw, with 200 downloads so far.
How do I install Executing Plans?
Run "/install openclaw-executing-plans" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Executing Plans free?
Yes, Executing Plans is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Executing Plans support?
Executing Plans is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Executing Plans?
It is built and maintained by AxelHu (@axelhu); the current version is v1.0.0.
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