@melaya/runner@1.1.61
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
AI Security Review
scanned 12d ago · by lpm-firewall-aiSource review resolves the scanner signals as expected runner behavior: provider tokens are used with provider APIs for model discovery, while the runner token authenticates to the configured platform. No concrete attack behavior was found in the inspected entrypoints, credential callers, provisioning paths, or browser network guard.
Decision evidence
public snapshot- package.json has no install hook; its prepublishOnly script runs the build.
- Provider detection reads local credentials to check availability. Claude and Copilot tokens go to their respective provider APIs for model discovery; Codex detection checks local auth and reads its model cache.
- The runner requires a platform token and defaults to api.melaya.org; it sends detected model names to that server as part of its connection.
- LinkedIn and Luma login flows are started by connection events, use a browser sign-in, and return captured cookies through the runner connection.
- Python provisioning runs during runner setup; browser downloads require explicit authorization, and browser network checks deny private and link-local addresses, including metadata IPs.
- The inspected chalk, commander, and ora dependency manifests and entrypoints contain no install scripts and show ordinary CLI or terminal-output functionality.
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@1.1.61.
See all versions of @melaya/runner for other recorded verdicts.
- Review the evidence and your use of @melaya/runner@1.1.61 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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