Is Anteater Gh Safe?
Anteater Gh — Nerq Trust Score 50.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Anteater Gh is a Python package with a Nerq Trust Score of 50.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Anteater Gh safe?
Trust Score Breakdown — Anteater Gh has a Nerq Trust Score of 50.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Anteater Gh's trust score?
Anteater Gh has a Nerq Trust Score of 50.8/100, 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 Anteater Gh?
Anteater Gh's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Anteater Gh and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Anteater Gh
What is Anteater Gh?
Anteater Gh is a Python package — Fuzz testing helper functions for Grasshopper Pythons..
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=Anteater-GH
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Anteater Gh has a Nerq Trust Score of 51/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Anteater Gh has a Trust Score of 51/100 (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.