zscole

zscole / bagman-skill

Public

Secure key management patterns for AI agents - storage, session keys, leak prevention, prompt injection defense

17
4
100% credibility
Found Feb 10, 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

Bagman helps AI assistants securely store and retrieve sensitive information like credentials using everyday secure storage options.

How It Works

1
🔍 Discover Bagman

You hear about Bagman, a helpful tool that keeps your AI assistant's private information safe from loss, leaks, or tricks.

2
📥 Get Bagman

You download Bagman to your computer so your AI projects can use it right away.

3
Pick Your Safe Storage
💻
Computer Safe

Use your Mac's natural secure spot with no extra work.

🔐
Password Manager

Connect a team-friendly app like 1Password for extra details.

📁
Locked File

Create a portable encrypted folder you can take anywhere.

📝
Quick Notes

Store in temporary notes for easy testing.

4
🔒 Add a Secret

You safely tuck away a private piece of info, like a password for your AI, with optional limits on time or use.

5
🤖 Link to Your AI

Your AI assistant now grabs secrets securely whenever needed, feeling protected and smart.

6
🛡️ Use Without Worry

As your AI works on tasks like handling money or logins, everything stays hidden and safe from mistakes or bad inputs.

✅ Secure and Happy

Your AI agent manages private info perfectly, avoiding common pitfalls, so you can focus on building cool things.

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Star Growth

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AI-Generated Review

What is bagman-skill?

Bagman-skill is a Python library for secure key management in AI agents, tackling key loss across sessions, accidental leaks to GitHub repos or logs, and prompt injection attacks that steal secrets. It provides a unified API to store and retrieve API keys, wallet credentials, and session keys via backends like macOS Keychain, 1Password CLI, age-encrypted files, or environment variables—with auto-detection for zero-config starts. Developers get session keys bound by expiration times, spending caps, and contract whitelists, plus output sanitization and input validation.

Why is it gaining traction?

It stands out with seamless backend auto-switching—no 1Password lock-in—and portable encrypted files that play nice with secure GitHub repositories or actions. The hook is drop-in protection for agents handling real money: generate secure session keys via ERC-4337 protocols, enforce scopes without raw key exposure, and block leaks in outputs or Copilot suggestions. For teams eyeing secure key stores or USB security key alternatives, it's a lightweight shield against common agent pitfalls.

Who should use this?

AI agent builders managing crypto wallets or private keys in trading bots, DeFi automations, or blockchain tools. Backend devs securing GitHub workflows with env vars or encrypted files, especially on macOS needing native keychain integration. Teams prototyping secure key exchange protocols for multi-session agents, avoiding prompt hacks in production.

Verdict

Promising prototype for agent security—grab it if you're experimenting with secure key stores in Python agents, but with 14 stars and 1.0% credibility score, wait for more tests and community polish before prime-time wallets. Solid docs make it worth a quick POC.

(187 words)

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