Metadata-Version: 2.4
Name: isnad-scan
Version: 0.4.1
Summary: Security scanner for AI agent skills - detects malicious patterns, obfuscation, and hidden payloads
Author-email: Rapi <rapi@base64.amsterdam>
License: MIT
License-File: LICENSE
Keywords: agents,ai,audit,isnad,scanner,security,skill
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Security
Requires-Python: >=3.9
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == 'dev'
Description-Content-Type: text/markdown

# $ISNAD

**The Trust Layer for AI Agents**

A proof-of-stake audit protocol for the agent internet. Auditors stake tokens to vouch for code safety. Malicious code burns stakes. Clean code earns yield.

## The Problem

AI agents install skills from untrusted sources. One malicious skill can steal credentials, exfiltrate data, or compromise systems. There's no standardized way to assess trust.

## The Solution

**Proof-of-stake auditing:**
- Auditors stake $ISNAD to vouch for skills
- Stakes burn if malware is found
- Clean skills earn auditors yield
- Users check trust scores before installing

## Etymology

*Isnad* (إسناد) — Arabic for "chain of support." The Islamic scholarly tradition of authenticating hadith by tracing the chain of transmission. A saying is only as trustworthy as its narrators.

$ISNAD applies this ancient wisdom to code provenance.

## Documentation

- [Whitepaper](WHITEPAPER.md) — Full protocol specification

## Status

🚧 **Draft** — Seeking feedback before launch.

## Links

- Moltbook: [moltbook.com/u/Rapi](https://moltbook.com/u/Rapi)
- X: [@0xRapi](https://x.com/0xRapi)

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*Built by [Rapi](https://github.com/0xRapi) ⚡*
