undercoveragent vs pygments-agentspeak — Trust Score Comparison
Side-by-side trust comparison of undercoveragent and pygments-agentspeak. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
coverage — Nerq Trust Score 80.8/100 (A-). pygments — Nerq Trust Score 80.8/100 (A-). Nearly identical overall trust.
Detailed Score Analysis
| Dimension | coverage | pygments |
|---|---|---|
| Security | 90/100 | 90/100 |
| Maintenance | 100/100 | 100/100 |
| Popularity | 100/100 | 100/100 |
| Quality | 65/100 | 65/100 |
| Community | 35/100 | 35/100 |
Five-dimension Nerq trust breakdown (registries: pypi / pypi). Scored equally weighted across security, maintenance, popularity, quality, community.
Detailed Metric Comparison
| Metric | undercoveragent | pygments-agentspeak |
|---|---|---|
| Trust Score | 67.4/100 | 54.0/100 |
| Grade | C | D |
| Stars | 0 | 0 |
| Category | marketing | uncategorized |
| Security | 0 | N/A |
| Compliance | 100 | 100 |
| Maintenance | 1 | N/A |
| Documentation | 1 | N/A |
| EU AI Act Risk | minimal | N/A |
| Verified | No | No |
Verdict
undercoveragent leads with a trust score of 67.4/100 compared to pygments-agentspeak's 54.0/100 (a 13.4-point difference). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
Security scores measure dependency vulnerabilities, CVE exposure, and security practices. undercoveragent scores 0 and pygments-agentspeak scores N/A on this dimension.
Maintenance & Activity
Activity scores reflect how actively each project is maintained. undercoveragent: 1, pygments-agentspeak: N/A.
Documentation
Documentation quality is evaluated based on README, API docs, and example coverage. undercoveragent: 1, pygments-agentspeak: N/A.
Community & Adoption
undercoveragent has 0 GitHub stars while pygments-agentspeak has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.
When to Choose Each Tool
Choose undercoveragent if you need:
- Higher overall trust score — more reliable for production use
- More actively maintained with faster release cadence
- Better documentation for faster onboarding
Choose pygments-agentspeak if you need:
- Consider if it better fits your specific use case
Switching from undercoveragent to pygments-agentspeak (or vice versa)
When migrating between undercoveragent and pygments-agentspeak, consider these factors:
- API Compatibility: undercoveragent (marketing) and pygments-agentspeak (uncategorized) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the undercoveragent safety report and pygments-agentspeak safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: undercoveragent has 0 stars and pygments-agentspeak has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-06-02 | 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.