Is Cicc Colors Safe?
Cicc Colors — Nerq Trust Score 49.0/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Cicc Colors is a Python package with a Nerq Trust Score of 49.0/100 (D), 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 Cicc Colors safe?
Trust Score Breakdown — Cicc Colors has a Nerq Trust Score of 49.0/100 (D). Measured across 2 independent trust signals (as of 2026-03-20).
What is Cicc Colors's trust score?
Cicc Colors has a Nerq Trust Score of 49.0/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Cicc Colors?
Cicc Colors's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cicc Colors and who maintains it?
| Author | Pengcheng Song |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Cicc Colors
What is Cicc Colors?
Cicc Colors is a Python package — Library of color palettes for CICC WM slides, reports and tables..
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=cicc-colors
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cicc Colors has a Nerq Trust Score of 49/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cicc Colors has a Trust Score of 49/100 (D).
- 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.