@melaya/runner@1.1.65
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
AI Security Review
scanned 12d ago · by lpm-firewall-aiSource inspection found no install-time attack: the manifest has no install lifecycle hook, and the reviewed saved credentials support provider model discovery. Runtime setup and browser-related capabilities correspond to the runner’s stated functions; the inspected excerpts did not establish an unauthorized recipient or action.
Decision evidence
public snapshot- package.json exposes a CLI and library entrypoint and defines only build, test, and prepublishOnly scripts; prepublishOnly runs the build.
- Model detection reads local provider credentials, uses them for provider model discovery, and returns detected model names; the CLI invokes detection and the connection refreshes the model list.
- The inspected dependency manifests identify chalk, commander, and ora, used for terminal presentation and command parsing.
- The inspected runtime excerpts describe user-triggered provider sign-in, local Python environment setup, file upload handling, and browser provisioning or authorization.
Source & flagged code
8 flaggedPackage source references child process execution.
dist/uvBootstrap.jsView on unpkg · L20Findings
Affected versions and remediation
This report applies to @melaya/runner@1.1.65.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.65 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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