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GitHub Repository Security & License Risk Auditor
GitHub Repository Security & License Risk Auditor is a paid API for AI agents from json-repair.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, star/fork metrics, dependency vulnerabilities, and supply-chain security before code integration.
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://json-repair.agentdiet.dev/v1/repo-risk-score)
Output
Returns a structured risk assessment for the GitHub repository including license risk classification, maintenance velocity indicators (commit frequency, last push date), stars and forks counts, dependency vulnerability findings, and an overall supply-chain security risk score.
Example use cases
Pre-integration dependency safety check
“I'm about to pull in modelcontextprotocol/servers as a dependency — can you run a security audit on that GitHub repo and flag any license issues, supply-chain risks, or signs that it's abandoned?”
Open source license compliance review
“Our legal team needs to know if huggingface/transformers has any risky licenses before we ship it in our product — can you check the license risk score for that repo?”
Evaluating a new AI framework for production
“We're considering adopting vercel/ai for our production stack. Can you evaluate that GitHub repo for maintenance velocity, star count, dependency vulnerabilities, and overall supply-chain security?”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/repo-risk-score?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a pre-integration security and compliance check on any GitHub repository — especially when evaluating open source dependencies for license compatibility, supply-chain integrity, or maintenance health before adding them to a production codebase. Prefer this over manual GitHub inspection when you need a scored, structured output suitable for automated decision-making in a coding agent or CI/CD pipeline.
Side effects
- Repository not found or misspelled owner/name returns an error
- Private repositories may not be accessible and return authorization errors
- GitHub API rate limits could cause transient failures
- Repositories with no dependency manifest files may return incomplete vulnerability data
- Malformed repo parameter format (not owner/name) triggers validation error
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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