Is Autonomous Lab Safe?
Autonomous Lab — Nerq Trust Score 59.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Autonomous Lab is a Python package with a Nerq Trust Score of 59.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Autonomous Lab safe?
Trust Score Breakdown — Autonomous Lab has a Nerq Trust Score of 59.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Autonomous Lab's trust score?
Autonomous Lab has a Nerq Trust Score of 59.0/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Autonomous Lab?
Autonomous Lab's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Autonomous Lab and who maintains it?
| Author | Albert Ying |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Autonomous Lab
What is Autonomous Lab?
Autonomous Lab is a Python package — MCP server that turns any Senior-Junior workflow into an autonomous loop with a human decision maker. Seamless integration with Cursor, Claude Code, Codex, and any MCP client..
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=autonomous-lab
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Autonomous Lab has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Autonomous Lab has a Trust Score of 59/100 (C).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.