Security scanner for AI agent skills - detects malicious patterns, obfuscation, and hidden payloads
Project description
$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 — Full protocol specification
Status
🚧 Draft — Seeking feedback before launch.
Links
- Moltbook: moltbook.com/u/Rapi
- X: @0xRapi
Built by Rapi ⚡
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