agentscan vs llm-antivirus — Trust Score Comparison

Side-by-side trust comparison of agentscan and llm-antivirus. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

agentscan scores 74.0/100 (B) while llm-antivirus scores 72.2/100 (B) on the Nerq Trust Score. The two agents are essentially tied on overall trust. agentscan is a security agent with 0 stars, Nerq Verified. llm-antivirus is a security agent with 1 stars, Nerq Verified.
74.0
B verified
Categorysecurity
Stars0
Sourcegithub
Security0
Compliance97
Maintenance1
Documentation1
vs
72.2
B verified
Categorysecurity
Stars1
Sourcegithub
Security0
Compliance97
Maintenance1
Documentation1

Detailed Metric Comparison

Metric agentscan llm-antivirus
Trust Score74.0/10072.2/100
GradeBB
Stars01
Categorysecuritysecurity
Security00
Compliance9797
Maintenance11
Documentation11
EU AI Act Riskminimalminimal
VerifiedYesYes

Verdict

agentscan (74.0) and llm-antivirus (72.2) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.

Detailed Analysis

Security

agentscan leads on security with a score of 0/100 compared to llm-antivirus's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.

Maintenance & Activity

agentscan demonstrates stronger maintenance activity (1/100 vs 1/100). 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

agentscan has better documentation (1/100 vs 1/100). 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

agentscan has 0 GitHub stars while llm-antivirus has 1. llm-antivirus 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 agentscan if you need:

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

Choose llm-antivirus if you need:

  • Larger community (1 vs 0 stars)

Switching from agentscan to llm-antivirus (or vice versa)

When migrating between agentscan and llm-antivirus, consider these factors:

  1. API Compatibility: agentscan (security) and llm-antivirus (security) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the agentscan safety report and llm-antivirus safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: agentscan has 0 stars and llm-antivirus has 1. Larger communities typically mean better Stack Overflow answers and migration guides.
agentscan Safety Report llm-antivirus Safety Report agentscan Alternatives llm-antivirus Alternatives

Related Pages

Frequently Asked Questions

Which is safer, agentscan or llm-antivirus?
Based on Nerq's independent trust assessment, agentscan has a trust score of 74.0/100 (B) while llm-antivirus scores 72.2/100 (B). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do agentscan and llm-antivirus compare on security?
agentscan has a security score of 0/100 and llm-antivirus scores 0/100. Both have comparable security profiles. agentscan's compliance score is 97/100 (EU risk: minimal), while llm-antivirus's is 97/100 (EU risk: minimal).
Should I use agentscan or llm-antivirus?
The choice depends on your requirements. agentscan (security, 0 stars) and llm-antivirus (security, 1 stars) serve similar use cases. On trust, agentscan scores 74.0/100 and llm-antivirus scores 72.2/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs 1), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-05-31 | 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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