@melaya/runner@1.1.78
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
AI Security Review
scanned 5h ago · by lpm-firewall-aiThe flagged credential reads support automatic discovery of locally signed-in AI providers, and the visible tokens go to their corresponding provider APIs. Install-time behavior is limited to building; the remaining reviewed downloads, cache writes, and failure telemetry serve runner setup and report only bounded diagnostic fields.
Decision evidence
public snapshot- The only lifecycle script is prepublishOnly, which runs the build.
- Claude model discovery sends the Claude token to api.anthropic.com; GitHub Copilot discovery sends a GitHub token to api.github.com.
- The CLI calls provider discovery at startup to list available local and signed-in models.
- Failure reports send a stage, version, platform, architecture, Node version, and bounded detail to the configured runner service.
- Python provisioning downloads uv from the official github.com/astral-sh release path.
- The shared runtime bundle is fetched from the configured runner service using the runner token.
Source & flagged code
20 flaggedPackage source references child process execution.
dist/uvBootstrap.jsView on unpkg · L20Source file is highly similar to a previously finalized malicious package; route for source-aware review.
dist/uvBootstrap.jsView on unpkgFindings
Affected versions and remediation
This report applies to @melaya/runner@1.1.78.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.78 before allowing it. Restrict the permissions described in this report.
- Choose an independently verified alternative or release. This report does not establish that other versions are safe.
Evidence last updated: .
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