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Install in OpenClaw
/install skill-shell
Description
Evaluate external skills before installation and decide whether to install, reject, or absorb only the useful ideas. Use when a user shares a ClawHub/GitHub...
Usage Guidance
This skill is a low-risk, coherent checklist for reviewing other skills. Before using it: (1) do dynamic validation only after explicit user approval and inside an isolated environment (sandbox/container) if the review requires running code or fetching external artifacts; (2) never grant the agent credentials or broad filesystem access to perform a review — instead provide a copy of the package or a controlled environment; (3) watch for dynamic validation steps that run installers, curl/wget to unknown endpoints, or request tokens — those require manual oversight; and (4) treat the skill as guidance (absorb ideas) rather than an automatic executor of installation steps unless you trust the source.
Capability Analysis
Type: OpenClaw Skill
Name: skill-shell
Version: 0.2.2
The skill-shell bundle is a security-focused meta-skill designed to help the OpenClaw agent evaluate and audit other third-party skills before installation. It contains no executable code and consists entirely of instructional Markdown (SKILL.md and references/checklist.md) that establishes a robust security framework, explicitly instructing the agent to look for and reject red flags such as credential theft, data exfiltration, and unauthorized network calls.
Capability Assessment
Purpose & Capability
Name, description, and SKILL.md all describe the same responsibility: reviewing/triaging candidate skills. No unexpected binaries, env vars, or installs are requested — everything is proportionate to a review/meta skill.
Instruction Scope
The instructions are intentionally broad (static review + dynamic validation). They recommend inspecting package contents and, when required, performing dynamic checks which could involve network fetches or running installers. That scope is appropriate for a vetting workflow, but it means dynamic validation steps should only be performed with explicit user approval and in an isolated environment.
Install Mechanism
No install spec and no code files — the skill is instruction-only, which minimizes disk writes and execution risk.
Credentials
No credentials, env vars, or config paths are requested. The SKILL.md warns about reading sensitive locations (e.g. ~/.ssh, ~/.aws) as red flags rather than instructing the agent to read them, which is appropriate.
Persistence & Privilege
The skill is not force-included (always:false) and does not request persistent privileges or to modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skill-shell - After installation, invoke the skill by name or use
/skill-shell - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.2.2
Test publish using the new clawhub-publish-flow local script. No behavior change beyond validating the release workflow.
v0.2.1
Absorb security vetting heuristics from skill-vetter: explicit red-flag list, clearer source/version reporting, red-flags output section, and risk-level labels. Built by 石屹 for 加十.
v0.2.0
Initial public release of the refined skill review model. Built by 石屹 for 加十.
Metadata
Frequently Asked Questions
What is Skill Shell?
Evaluate external skills before installation and decide whether to install, reject, or absorb only the useful ideas. Use when a user shares a ClawHub/GitHub... It is an AI Agent Skill for Claude Code / OpenClaw, with 469 downloads so far.
How do I install Skill Shell?
Run "/install skill-shell" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Skill Shell free?
Yes, Skill Shell is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Skill Shell support?
Skill Shell is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Skill Shell?
It is built and maintained by G-Hanasq (@g-hanasq); the current version is v0.2.2.
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