deepseek-thinker-mcp vs Super-Agent-Skills — Trust Score Comparison

Name: deepseek-thinker-mcp vs Super-Agent-Skills Trust Comparison
Creator: Nerq

Side-by-side trust comparison of deepseek-thinker-mcp and Super-Agent-Skills. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

deepseek-thinker-mcp scores 55.0/100 (D) while Super-Agent-Skills scores 65.5/100 (C) on the Nerq Trust Score. Super-Agent-Skills leads by 10.5 points. deepseek-thinker-mcp is a uncategorized tool with 0 stars. Super-Agent-Skills is a ai tool with 0 stars.

deepseek-thinker-mcp

55.0

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Super-Agent-Skills

65.5

Categoryai

Stars0

Sourcegithub

Security0

Compliance87

Maintenance1

Documentation0

Detailed Metric Comparison

Metric	deepseek-thinker-mcp	Super-Agent-Skills
Trust Score	55.0/100	65.5/100
Grade	D	C
Stars	0	0
Category	uncategorized	ai
Security	N/A	0
Compliance	100	87
Maintenance	N/A	1
Documentation	N/A	0
EU AI Act Risk	N/A	minimal
Verified	No	No

Verdict

Super-Agent-Skills leads with a trust score of 65.5/100 compared to deepseek-thinker-mcp's 55.0/100 (a 10.5-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. deepseek-thinker-mcp scores N/A and Super-Agent-Skills scores 0 on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. deepseek-thinker-mcp: N/A, Super-Agent-Skills: 1.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. deepseek-thinker-mcp: N/A, Super-Agent-Skills: 0.

Community & Adoption

deepseek-thinker-mcp has 0 GitHub stars while Super-Agent-Skills has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose deepseek-thinker-mcp if you need:

Consider if it better fits your specific use case

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 deepseek-thinker-mcp to Super-Agent-Skills (or vice versa)

When migrating between deepseek-thinker-mcp and Super-Agent-Skills, consider these factors:

API Compatibility: deepseek-thinker-mcp (uncategorized) and Super-Agent-Skills (ai) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the deepseek-thinker-mcp 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: deepseek-thinker-mcp has 0 stars and Super-Agent-Skills has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

deepseek-thinker-mcp Safety Report Super-Agent-Skills Safety Report deepseek-thinker-mcp Alternatives Super-Agent-Skills Alternatives

Frequently Asked Questions

Which is safer, deepseek-thinker-mcp or Super-Agent-Skills?

Based on Nerq's independent trust assessment, deepseek-thinker-mcp has a trust score of 55.0/100 (D) while Super-Agent-Skills scores 65.5/100 (C). The 10.5-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 deepseek-thinker-mcp and Super-Agent-Skills compare on security?

deepseek-thinker-mcp has a security score of N/A/100 and Super-Agent-Skills scores 0/100. There is a notable difference in their security assessments. deepseek-thinker-mcp's compliance score is 100/100 (EU risk: N/A), while Super-Agent-Skills's is 87/100 (EU risk: minimal).

Should I use deepseek-thinker-mcp or Super-Agent-Skills?

The choice depends on your requirements. deepseek-thinker-mcp (uncategorized, 0 stars) and Super-Agent-Skills (ai, 0 stars) serve different use cases. On trust, deepseek-thinker-mcp scores 55.0/100 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 (N/A vs 0), and maintenance activity (N/A vs 1).

Related Comparisons

Last updated: 2026-05-27 | 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.