datacendia-core vs Super-Agent-Skills — Trust Score Comparison
Side-by-side trust comparison of datacendia-core and Super-Agent-Skills. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | datacendia-core | Super-Agent-Skills |
|---|---|---|
| Trust Score | 66.5/100 | 65.5/100 |
| Grade | C | C |
| Stars | 1 | 0 |
| Category | ai | ai |
| Security | 0 | 0 |
| Compliance | N/A | 87 |
| Maintenance | 1 | 1 |
| Documentation | 1 | 0 |
| EU AI Act Risk | N/A | minimal |
| Verified | No | No |
Verdict
datacendia-core (66.5) and Super-Agent-Skills (65.5) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.
Detailed Analysis
Security
datacendia-core leads on security with a score of 0/100 compared to Super-Agent-Skills's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
datacendia-core demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
datacendia-core has better documentation (1/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
datacendia-core has 1 GitHub stars while Super-Agent-Skills has 0. datacendia-core has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.
When to Choose Each Tool
Choose datacendia-core if you need:
- Higher overall trust score — more reliable for production use
- More actively maintained with faster release cadence
- Larger community (1 vs 0 stars)
- Better documentation for faster onboarding
Choose Super-Agent-Skills if you need:
- Consider if it better fits your specific use case
Switching from datacendia-core to Super-Agent-Skills (or vice versa)
When migrating between datacendia-core and Super-Agent-Skills, consider these factors:
- API Compatibility: datacendia-core (ai) and Super-Agent-Skills (ai) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the datacendia-core safety report and Super-Agent-Skills safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: datacendia-core has 1 stars and Super-Agent-Skills has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
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Last updated: 2026-06-21 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.