pydantic-ai-skills vs stable-hash — Trust Score Comparison

Name: pydantic-ai-skills vs stable-hash Trust Comparison
Creator: Nerq

Side-by-side trust comparison of pydantic-ai-skills and stable-hash. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

pydantic-ai-skills scores 70.8/100 (B) while stable-hash scores 56.8/100 (D) on the Nerq Trust Score. pydantic-ai-skills leads by 14.0 points. pydantic-ai-skills is a coding tool with 106 stars, Nerq Verified. stable-hash is a uncategorized tool with 0 stars.

pydantic — Nerq Trust Score 75.8/100 (B+). httpx — Nerq Trust Score 80.8/100 (A-). httpx leads by 5.0 points.

pydantic-ai-skills

70.8

B verified

Categorycoding

Stars106

Sourcegithub

Security0

Compliance100

Maintenance1

Documentation0

stable-hash

56.8

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Detailed Score Analysis

Dimension	pydantic	httpx
Security	90/100	90/100
Maintenance	100/100	100/100
Popularity	100/100	100/100
Quality	40/100	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	pydantic-ai-skills	stable-hash
Trust Score	70.8/100	56.8/100
Grade	B	D
Stars	106	0
Category	coding	uncategorized
Security	0	N/A
Compliance	100	100
Maintenance	1	N/A
Documentation	0	N/A
EU AI Act Risk	minimal	N/A
Verified	Yes	No

Verdict

pydantic-ai-skills leads with a trust score of 70.8/100 compared to stable-hash's 56.8/100 (a 14.0-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. pydantic-ai-skills scores 0 and stable-hash scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. pydantic-ai-skills: 1, stable-hash: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. pydantic-ai-skills: 0, stable-hash: N/A.

Community & Adoption

pydantic-ai-skills has 106 GitHub stars while stable-hash has 0. pydantic-ai-skills 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 pydantic-ai-skills if you need:

Higher overall trust score — more reliable for production use
More actively maintained with faster release cadence
Larger community (106 vs 0 stars)

Choose stable-hash if you need:

Consider if it better fits your specific use case

Switching from pydantic-ai-skills to stable-hash (or vice versa)

When migrating between pydantic-ai-skills and stable-hash, consider these factors:

API Compatibility: pydantic-ai-skills (coding) and stable-hash (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the pydantic-ai-skills safety report and stable-hash safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: pydantic-ai-skills has 106 stars and stable-hash has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

pydantic-ai-skills Safety Report stable-hash Safety Report pydantic-ai-skills Alternatives stable-hash Alternatives

Frequently Asked Questions

Which is safer, pydantic-ai-skills or stable-hash?

Based on Nerq's independent trust assessment, pydantic-ai-skills has a trust score of 70.8/100 (B) while stable-hash scores 56.8/100 (D). The 14.0-point difference suggests pydantic-ai-skills has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do pydantic-ai-skills and stable-hash compare on security?

pydantic-ai-skills has a security score of 0/100 and stable-hash scores N/A/100. There is a notable difference in their security assessments. pydantic-ai-skills's compliance score is 100/100 (EU risk: minimal), while stable-hash's is 100/100 (EU risk: N/A).

Should I use pydantic-ai-skills or stable-hash?

The choice depends on your requirements. pydantic-ai-skills (coding, 106 stars) and stable-hash (uncategorized, 0 stars) serve different use cases. On trust, pydantic-ai-skills scores 70.8/100 and stable-hash scores 56.8/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs N/A), and maintenance activity (1 vs N/A).

Related Comparisons

Last updated: 2026-05-09 | 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.