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GitHub Repository Security & License Auditor
GitHub Repository Security & License Auditor is a paid API for AI agents from defi-yield.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Evaluates a GitHub repository for license risk, maintenance velocity, stars/forks, dependency health, and supply-chain security signals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Evaluates any GitHub repository for license risk, maintenance velocity, stars/forks, and supply-chain security before code execution. (Live x402 v2, IETF MPP & MCP endpoint at https://defi-yield.agentdiet.dev/v1/github-scanner)
Output
Returns a structured report covering license type and risk classification, repository maintenance velocity (commit frequency, last activity), popularity signals (stars, forks), and supply-chain security flags such as dependency vulnerability indicators and suspicious package patterns.
Example use cases
License compliance check before adoption
“Before we add modelcontextprotocol/servers as a dependency, can you check if its license is compatible with our commercial product and flag any copyleft risks?”
Due diligence on an unfamiliar OSS library
“I found a library called huggingface/transformers I want to use — can you audit it for maintenance velocity, star/fork counts, and any supply-chain red flags before I integrate it?”
Pre-deployment security scan of a third-party repo
“We're about to run code from the repo openai/openai-python in our CI pipeline — can you scan it for dependency security issues and tell me if there are any honeypot or malicious package signals I should know about?”
Technical details
Endpoint
GEThttps://defi-yield.agentdiet.dev/v1/github-scanner?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI coding agent or developer needs to vet an open source GitHub repository before adopting it as a dependency, running its code, or integrating it into a supply chain — especially when license compliance, maintenance health, or security posture are concerns. Prefer this over generic GitHub API calls when you need an opinionated, pre-scored risk summary rather than raw repository metadata.
Side effects
- Invalid repo format (not owner/name) returns validation error
- Private or non-existent repository returns not-found error
- GitHub API rate limiting may cause degraded or incomplete results
- Repos with no releases or very sparse metadata may return incomplete scores
- Network timeout if GitHub is slow to respond
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| reporequired | string | GitHub repository in owner/name format (e.g. modelcontextprotocol/servers or langchain-ai/langgraph) |
Output
Schema · Response
{
"type": "object"
}Reviews
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