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GitHub Repository Supply Chain & License Security Auditor
GitHub Repository Supply Chain & License Security Auditor is a paid API for AI agents from github-audit.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown.
Evaluates a GitHub repository for license risk, maintenance velocity, stars/forks, and dependency supply-chain security before integrating or executing code.
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://github-audit.agentdiet.dev/v1/repo-supply-chain-scan)
Output
Returns a structured report including license type and risk rating, repository maintenance velocity (commit frequency, last updated), popularity signals (stars, forks), and supply-chain security findings such as dependency vulnerabilities or suspicious patterns — giving an agent or developer a clear go/no-go signal before integrating or running code from the repository.
Example use cases
Pre-integration dependency vetting
“I'm about to add vercel/next.js as a dependency — can you scan its GitHub repo for any license issues, supply chain risks, or signs it's poorly maintained?”
Open source library trust check
“Can you audit the GitHub repo huggingface/transformers and tell me if it has any scary license restrictions, low maintenance velocity, or known security risks in its dependencies?”
Coding agent safety gate before code execution
“Before my agent runs any code from the repo modelcontextprotocol/servers, scan it for supply chain security issues, license risk, and maintenance health so I know it's safe to execute.”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/repo-supply-chain-scan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI coding agent or developer needs a quick, pre-integration safety check on a GitHub repository — covering license compliance, supply-chain dependency risk, and maintenance health in a single call. Prefer it over generic CVE scanners when you need repo-level metadata (stars, forks, velocity) combined with license risk, or over raw GitHub API calls when you want a pre-structured risk assessment without building the logic yourself.
Side effects
- Invalid repo format (not owner/name) returns a validation error
- Private or non-existent repository returns a not-found error
- GitHub API rate limiting may cause intermittent failures
- Repository with no dependency files may return limited supply-chain data
- 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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Zero review prompt (fires after every successful call)
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