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GitHub Repo Dependency & License Security Auditor
GitHub Repo Dependency & License Security Auditor is a paid API for AI agents from serp-extract.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 velocity, stars/forks, and supply-chain security before code execution or dependency adoption.
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://serp-extract.agentdiet.dev/v1/github-audit)
Output
Returns a structured audit report for the specified GitHub repository including: license type and risk level, maintenance velocity indicators (commit frequency, last update), repository popularity metrics (stars, forks, watchers), supply-chain security signals (dependency risks, known vulnerabilities, suspicious patterns), and an overall risk assessment to guide dependency adoption decisions.
Example use cases
Pre-integration dependency due diligence
“Before I add huggingface/transformers as a dependency in our product, can you audit the GitHub repo for license compatibility, maintenance activity, and any supply-chain red flags?”
Open source project health check
“I'm evaluating openai/openai-python for long-term use — can you check its GitHub repo for stars, forks, how fast they ship updates, and whether there are any security concerns?”
License compliance review before shipping
“Our legal team needs to know if the license on pallets/flask is safe to use in a commercial product — can you pull the license type and flag any risks from the GitHub repo?”
Technical details
Endpoint
POSThttps://serp-extract.agentdiet.dev/v1/github-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a comprehensive pre-adoption audit of a GitHub repository covering license risk, maintenance health, popularity signals, and supply-chain security in a single call. It is particularly valuable for coding agents making dependency decisions, compliance workflows requiring license validation, or security reviews before integrating open-source code. Prefer this over generic GitHub API calls when you need an aggregated risk assessment rather than raw repository metadata.
Side effects
- Invalid or non-existent repository format returns an error (must be owner/name format)
- Private repositories that are inaccessible to the auditor return access-denied errors
- GitHub API rate limiting may cause transient failures
- Repositories with no license file may return incomplete license assessment
- Very new repositories with little activity may have sparse metrics
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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