cli-coding-agent vs Wan-2.1 — Trust Score Comparison

Side-by-side trust comparison of cli-coding-agent and Wan-2.1. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

cli-coding-agent scores 70.1/100 (D) while Wan-2.1 scores 95.0/100 (A) on the Nerq Trust Score. Wan-2.1 leads by 24.9 points. cli-coding-agent is a coding tool with 1 stars, Nerq Verified. Wan-2.1 is a uncategorized tool with 1,033 stars, Nerq Verified.
70.1
D verified
Categorycoding
Stars1
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation1
vs
95.0
A verified
Categoryuncategorized
Stars1,033
Sourcehuggingface_models_v3

Detailed Metric Comparison

Metric cli-coding-agent Wan-2.1
Trust Score70.1/10095.0/100
GradeDA
Stars11,033
Categorycodinguncategorized
Security0N/A
Compliance100N/A
Maintenance1N/A
Documentation1N/A
EU AI Act RiskminimalN/A
VerifiedYesYes

Verdict

Wan-2.1 leads with a trust score of 95.0/100 compared to cli-coding-agent's 70.1/100 (a 24.9-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. cli-coding-agent scores 0 and Wan-2.1 scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. cli-coding-agent: 1, Wan-2.1: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. cli-coding-agent: 1, Wan-2.1: N/A.

Community & Adoption

cli-coding-agent has 1 GitHub stars while Wan-2.1 has 1,033. Wan-2.1 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 cli-coding-agent if you need:

  • More actively maintained with faster release cadence
  • Better documentation for faster onboarding

Choose Wan-2.1 if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (1,033 vs 1 stars)

Switching from cli-coding-agent to Wan-2.1 (or vice versa)

When migrating between cli-coding-agent and Wan-2.1, consider these factors:

  1. API Compatibility: cli-coding-agent (coding) and Wan-2.1 (uncategorized) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the cli-coding-agent safety report and Wan-2.1 safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: cli-coding-agent has 1 stars and Wan-2.1 has 1,033. Larger communities typically mean better Stack Overflow answers and migration guides.
cli-coding-agent Safety Report Wan-2.1 Safety Report cli-coding-agent Alternatives Wan-2.1 Alternatives

Related Pages

Frequently Asked Questions

Which is safer, cli-coding-agent or Wan-2.1?
Based on Nerq's independent trust assessment, cli-coding-agent has a trust score of 70.1/100 (D) while Wan-2.1 scores 95.0/100 (A). The 24.9-point difference suggests Wan-2.1 has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do cli-coding-agent and Wan-2.1 compare on security?
cli-coding-agent has a security score of 0/100 and Wan-2.1 scores N/A/100. There is a notable difference in their security assessments. cli-coding-agent's compliance score is 100/100 (EU risk: minimal), while Wan-2.1's is N/A/100 (EU risk: N/A).
Should I use cli-coding-agent or Wan-2.1?
The choice depends on your requirements. cli-coding-agent (coding, 1 stars) and Wan-2.1 (uncategorized, 1,033 stars) serve different use cases. On trust, cli-coding-agent scores 70.1/100 and Wan-2.1 scores 95.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs N/A), and maintenance activity (1 vs N/A).

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Last updated: 2026-11-11 | 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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