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GitHub Repository Security & License Auditor
GitHub Repository Security & License Auditor is a paid API for AI agents from cve-intel.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-23).
Audits any GitHub repository for license risk, maintenance health, supply-chain vulnerabilities, and dependency security before integrating or executing its 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://cve-intel.agentdiet.dev/v1/sbom-auditor)
Output
Returns a structured audit report covering: license type and associated legal risk, repository maintenance velocity (commit frequency, last activity), community signals (stars, forks), supply-chain security assessment, and dependency vulnerability findings — giving agents a go/no-go signal before integrating a repo.
Example use cases
Pre-integration OSS dependency check
“I'm about to add huggingface/transformers to our project — can you audit that GitHub repo and tell me if there are any license issues, how healthy the maintenance is, and whether the supply chain looks safe?”
Evaluating a new AI framework for production
“We're considering switching to microsoft/autogen for our agent workflows. Can you run a full security and license audit on that GitHub repo before we commit?”
Open source compliance review for legal team
“Our legal team needs a report on the license risk and maintenance status of tensorflow/tensorflow on GitHub — can you audit it and summarize the findings?”
Technical details
Endpoint
POSThttps://cve-intel.agentdiet.dev/v1/sbom-auditor?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent or developer needs a rapid pre-integration security and compliance check on a GitHub repository — especially before adding a dependency, running external code, or recommending an open source project. It's ideal for DevSecOps pipelines, autonomous coding agents vetting third-party libraries, and compliance workflows requiring license risk assessment. Prefer it over generic GitHub API calls when you need a synthesized, opinionated risk report rather than raw metadata.
Side effects
- Invalid or non-existent repository slug returns an error response
- Private repositories inaccessible without credentials may return not-found errors
- GitHub API rate limiting may cause transient failures
- Repositories with no dependency manifests may yield limited SBOM data
- Payment failure (HTTP 402) if x402 micropayment is not properly handled
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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