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GitHub Repository Security & License Auditor
GitHub Repository Security & License Auditor is a paid API for AI agents from domain-osint.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, and supply-chain security before code integration or execution.
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://domain-osint.agentdiet.dev/v1/github)
Output
Returns a structured report on the GitHub repository including license type and risk level, maintenance velocity indicators (commit frequency, last commit date), star and fork counts, and supply-chain security findings such as dependency vulnerabilities or suspicious package patterns.
Example use cases
Pre-adoption dependency risk check
“Before I add modelcontextprotocol/servers to my project, can you check its license, how often it's maintained, and whether there are any supply-chain security red flags?”
Open source license compliance review
“I need to know if the license for huggingface/transformers is safe to use in a commercial product — can you audit that GitHub repo and flag any license risks?”
Evaluating a new AI framework before adoption
“We're considering using vercel/ai in our production codebase — can you check its GitHub repo for maintenance velocity, stars, fork activity, and any dependency or supply-chain security issues?”
Technical details
Endpoint
GEThttps://domain-osint.agentdiet.dev/v1/github?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pre-adoption security and compliance snapshot of a GitHub repository — especially for license risk assessment, supply-chain security vetting, or evaluating maintenance health before integrating a dependency into a codebase. Prefer this over manual GitHub inspection when you need structured, machine-readable output for automated decision-making in agent workflows.
Side effects
- Invalid or non-existent repository format returns an error (repo must be owner/name format)
- Private repositories are inaccessible and return an authorization error
- GitHub API rate limits may cause transient failures
- Repositories with no license file may return incomplete license data
- Very new or empty repositories may have insufficient data for meaningful analysis
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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Zero review prompt (fires after every successful call)
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