A mechanical brake for AI-generated commands that prevents destructive shell operations and sensitive data exposure.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hs
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install hs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Hardstop Skill is a comprehensive security and safety protocol designed to act as the instruction layer for AI coding agents. It prevents catastrophic mistakes by intercepting shell commands and file read requests before execution. By implementing a deterministic safety check, it ensures that your system remains protected from prompt injections, accidental recursive deletions, or unauthorized credential exfiltration.
As one of the essential Openclaw Skills, it provides the necessary guardrails for autonomous agents operating in production or local environments. It bridges the gap between raw LLM capabilities and secure system administration by enforcing a mandatory pre-execution protocol that prioritizes system stability and data privacy.
To integrate this safety layer into your workflow with Openclaw Skills, follow these installation steps:
python ~/.claude/plugins/hs/commands/hs_cmd.py status
Hardstop organizes its safety logic and bypass mechanisms using local state files and structured metadata tables to maintain environment integrity.
| Component | Description |
|---|---|
| Skip Counter | Managed via ~/.hardstop/skip_next to track authorized safety bypasses. |
| Block List | A comprehensive taxonomy of high-risk Unix, Windows, and Cloud CLI patterns. |
| Risk Modifiers | Metadata evaluating directory context, path sensitivity, and force flag escalators. |
| Execution Logs | Historical record of blocked and allowed actions accessible via hs_cmd.py log. |
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