jetorbitdev

jetorbitdev / clawdbot-guardrail

Public

this guardrail docs for agents.md/claude.md to be use for your machine to make use for clawdbot more secure

18
1
100% credibility
Found Feb 02, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This project offers ready-to-use safety instructions for an AI assistant that manages computer systems, preventing destructive actions, data leaks, and unauthorized spending.

How It Works

1
🔍 Hear about safety boost

While using your AI computer helper for tasks like fixing files or checking systems, you learn about special safety rules to keep things secure.

2
💡 Decide to protect your setup

You choose to add these safety features so your AI helper can't accidentally delete important stuff or share secrets.

3
🛡️ Slip in the safety shield

You easily place the safety instructions right where your AI helper looks for guidance, like adding a note it always reads.

4
🔄 Wake up the helper

You give your AI helper a quick refresh so it starts following the new safety rules right away.

5
🧪 Check it's working

You ask your helper, 'What safety steps do you follow?' and it explains all the protections like needing your okay for big changes.

6
✅ Feel secure and powerful

Now your AI helper handles tough tasks confidently, always pausing for your approval on risky moves and blocking dangerous actions like spending money.

🎉 Safe adventures ahead

You enjoy a powerful AI partner for system work without worries, knowing it's guarded against accidents and leaks.

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AI-Generated Review

What is clawdbot-guardrail?

Clawdbot-guardrail delivers system prompt configurations to harden Clawdbot, an AI agent with direct terminal and filesystem access on your machine. It solves the core risk of giving LLMs sysadmin powers by enforcing tiered consent for destructive commands, blocking financial transactions outright, and redacting secrets from outputs. Drop these guardrail docs into your Clawdbot workspace via simple copy commands, restart the gateway with `clawdbot gateway restart`, and test via `clawdbot message send`.

Why is it gaining traction?

In a sea of general guardrail llm github repos like bedrock guardrail github or nemo guardrail github, this stands out with Clawdbot-specific protections: double-consent for rm or sudo, absolute bans on payments and crypto trades, and production environment detection. Developers hook on the audit trails for every write op and emergency stops like typing STOP. It's battle-tested against real incidents, like rogue AI domain buys, making Clawdbot secure without killing productivity.

Who should use this?

Sysadmins running Clawdbot for local devops tasks, like git ops or Docker management, who need safeguards against accidental wipes. Devs automating workflows on personal machines but wary of data leaks from .env reads or prod deploys. Teams evaluating agent guardrails akin to cosmos guardrail github for high-stakes terminal AI.

Verdict

Grab it if you're deep into Clawdbot—17 stars and 1.0% credibility score signal early days, but polished docs and zero-code setup make it a low-risk add. Maturity lags big guardrail ai github players, so pair with your own reviews for mission-critical use.

(198 words)

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