Qwen3-32B vs Super-Agent-Skills — Trust Score Comparison

Side-by-side trust comparison of Qwen3-32B and Super-Agent-Skills. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

Qwen3-32B scores 63.1/100 (C) while Super-Agent-Skills scores 65.5/100 (C) on the Nerq Trust Score. Super-Agent-Skills leads by 2.4 points. Qwen3-32B is a ai_assistant tool with 658 stars. Super-Agent-Skills is a ai tool with 0 stars.
63.1
C
Categoryai_assistant
Stars658
Sourcehuggingface_search_ext
Compliance87
Maintenance0
Documentation0
vs
65.5
C
Categoryai
Stars0
Sourcegithub
Security0
Compliance87
Maintenance1
Documentation0

Detailed Metric Comparison

Metric Qwen3-32B Super-Agent-Skills
Trust Score63.1/10065.5/100
GradeCC
Stars6580
Categoryai_assistantai
SecurityN/A0
Compliance8787
Maintenance01
Documentation00
EU AI Act Riskminimalminimal
VerifiedNoNo

Verdict

Super-Agent-Skills leads with a trust score of 65.5/100 compared to Qwen3-32B's 63.1/100 (a 2.4-point difference). Super-Agent-Skills scores higher on maintenance (1 vs 0). However, Qwen3-32B has stronger community adoption (658 vs 0 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. Qwen3-32B scores N/A and Super-Agent-Skills scores 0 on this dimension.

Maintenance & Activity

Super-Agent-Skills demonstrates stronger maintenance activity (1/100 vs 0/100). 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

Qwen3-32B has better documentation (0/100 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

Qwen3-32B has 658 GitHub stars while Super-Agent-Skills has 0. Qwen3-32B 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 Qwen3-32B if you need:

  • Larger community (658 vs 0 stars)

Choose Super-Agent-Skills if you need:

  • Higher overall trust score — more reliable for production use
  • More actively maintained with faster release cadence

Switching from Qwen3-32B to Super-Agent-Skills (or vice versa)

When migrating between Qwen3-32B and Super-Agent-Skills, consider these factors:

  1. API Compatibility: Qwen3-32B (ai_assistant) and Super-Agent-Skills (ai) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the Qwen3-32B safety report and Super-Agent-Skills safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: Qwen3-32B has 658 stars and Super-Agent-Skills has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
Qwen3-32B Safety Report Super-Agent-Skills Safety Report Qwen3-32B Alternatives Super-Agent-Skills Alternatives

Related Pages

Frequently Asked Questions

Which is safer, Qwen3-32B or Super-Agent-Skills?
Based on Nerq's independent trust assessment, Qwen3-32B has a trust score of 63.1/100 (C) while Super-Agent-Skills scores 65.5/100 (C). The 2.4-point difference suggests Super-Agent-Skills has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do Qwen3-32B and Super-Agent-Skills compare on security?
Qwen3-32B has a security score of N/A/100 and Super-Agent-Skills scores 0/100. There is a notable difference in their security assessments. Qwen3-32B's compliance score is 87/100 (EU risk: minimal), while Super-Agent-Skills's is 87/100 (EU risk: minimal).
Should I use Qwen3-32B or Super-Agent-Skills?
The choice depends on your requirements. Qwen3-32B (ai_assistant, 658 stars) and Super-Agent-Skills (ai, 0 stars) serve different use cases. On trust, Qwen3-32B scores 63.1/100 and Super-Agent-Skills scores 65.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 0), and maintenance activity (0 vs 1).

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Last updated: 2026-06-26 | 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.

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