Comparison
agent-skills-eval vs Anthropic-Cybersecurity-Skills
Verdict
Pick agent-skills-eval if agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript; pick Anthropic-Cybersecurity-Skills if anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs.
Markdown twin · agent-skills-eval alternatives · Anthropic-Cybersecurity-Skills alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | agent-skills-eval | Anthropic-Cybersecurity-Skills |
|---|---|---|
| Maintenance | Active (13d since push) As of 3w · github_public_v1 | Active (8d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agent-skills-eval
- A test runner for agentskills.io-style AI agent skills
- Anthropic-Cybersecurity-Skills
- 817 structured cybersecurity skills for AI agents
Stars
- agent-skills-eval
- 637
- Anthropic-Cybersecurity-Skills
- 28k
Forks
- agent-skills-eval
- 36
- Anthropic-Cybersecurity-Skills
- 3.4k
Open issues
- agent-skills-eval
- 11
- Anthropic-Cybersecurity-Skills
- 46
Language
- agent-skills-eval
- TypeScript
- Anthropic-Cybersecurity-Skills
- Python
Adopt for
- agent-skills-eval
- agent-skills-eval offers utilities to evaluate AI agents in line with agentskills.io framework using TypeScript.
- Anthropic-Cybersecurity-Skills
- Anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs.
Persona
- agent-skills-eval
- -
- Anthropic-Cybersecurity-Skills
- -
Runtime
- agent-skills-eval
- -
- Anthropic-Cybersecurity-Skills
- -
License
- agent-skills-eval
- MIT
- Anthropic-Cybersecurity-Skills
- Apache-2.0
Last pushed
- agent-skills-eval
- Jul 15, 2026
- Anthropic-Cybersecurity-Skills
- Aug 8, 2026
Categories
- agent-skills-eval
- AI Agents, Evaluation & Observability
- Anthropic-Cybersecurity-Skills
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- agent-skills-eval
- 13d
- Anthropic-Cybersecurity-Skills
- 8d
Open issues (now)
- agent-skills-eval
- 11
- Anthropic-Cybersecurity-Skills
- 46
Stars delta
- agent-skills-eval
- Unknown
- Anthropic-Cybersecurity-Skills
- +2.3k (30d)
Open issues delta
- agent-skills-eval
- Unknown
- Anthropic-Cybersecurity-Skills
- +6 (30d)
Full report
- agent-skills-eval
- Trust report
- Anthropic-Cybersecurity-Skills
- Trust report
Choose agent-skills-eval if…
- agent-skills-eval is primarily TypeScript; Anthropic-Cybersecurity-Skills is Python.
- License: agent-skills-eval is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0.
- Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli.
- When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances.
When NOT to use agent-skills-eval
- This tool may not be suitable if you are using a different AI agent development framework outside of agentskills.io, as it specializes in evaluating skills based on this particular framework.
- If your project does not use TypeScript and avoiding transpiler overhead is a priority, then opting for another evaluation tool that supports your primary language might be more beneficial.
Choose Anthropic-Cybersecurity-Skills if…
- Anthropic-Cybersecurity-Skills is primarily Python; agent-skills-eval is TypeScript.
- License: Anthropic-Cybersecurity-Skills is Apache-2.0, agent-skills-eval is MIT.
- Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support..
- Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use.
- Tags unique to Anthropic-Cybersecurity-Skills: cybersecurity, mitre-attack, nist-csf, security.
- - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations.
When NOT to use Anthropic-Cybersecurity-Skills
- - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills.
- - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (darkrishabh/agent-skills-eval) · observed Jul 28, 2026
- GitHub forks (darkrishabh/agent-skills-eval) · observed Jul 28, 2026
- Last push (darkrishabh/agent-skills-eval) · observed Jul 15, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mukul975/Anthropic-Cybersecurity-Skills) · observed Aug 16, 2026
- GitHub forks (mukul975/Anthropic-Cybersecurity-Skills) · observed Aug 16, 2026
- Last push (mukul975/Anthropic-Cybersecurity-Skills) · observed Aug 8, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-skills-eval 637 · Anthropic-Cybersecurity-Skills 28k (synced Jul 28, 2026).
Common questions
- What is the difference between agent-skills-eval and Anthropic-Cybersecurity-Skills?
- agent-skills-eval: A test runner for agentskills.io-style AI agent skills. Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-skills-eval over Anthropic-Cybersecurity-Skills?
- Choose agent-skills-eval over Anthropic-Cybersecurity-Skills when agent-skills-eval is primarily TypeScript; Anthropic-Cybersecurity-Skills is Python; License: agent-skills-eval is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, cli; When you use the agentskills.io framework for your project and require robust evaluation tools that can understand this specific framework's nuances.
- When should I choose Anthropic-Cybersecurity-Skills over agent-skills-eval?
- Choose Anthropic-Cybersecurity-Skills over agent-skills-eval when Anthropic-Cybersecurity-Skills is primarily Python; agent-skills-eval is TypeScript; License: Anthropic-Cybersecurity-Skills is Apache-2.0, agent-skills-eval is MIT; Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support.; Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use; Tags unique to Anthropic-Cybersecurity-Skills: cybersecurity, mitre-attack, nist-csf, security; - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations.
- When should I avoid agent-skills-eval?
- This tool may not be suitable if you are using a different AI agent development framework outside of agentskills.io, as it specializes in evaluating skills based on this particular framework. If your project does not use TypeScript and avoiding transpiler overhead is a priority, then opting for another evaluation tool that supports your primary language might be more beneficial.
- When should I avoid Anthropic-Cybersecurity-Skills?
- - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills. - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options.
- Is agent-skills-eval or Anthropic-Cybersecurity-Skills more popular on GitHub?
- Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 637). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-skills-eval and Anthropic-Cybersecurity-Skills open source?
- Yes - both are open-source projects on GitHub (agent-skills-eval: MIT, Anthropic-Cybersecurity-Skills: Apache-2.0).
- Where can I find alternatives to agent-skills-eval or Anthropic-Cybersecurity-Skills?
- GraphCanon lists graph-backed alternatives at agent-skills-eval alternatives and Anthropic-Cybersecurity-Skills alternatives (agent-skills-eval markdown twin, Anthropic-Cybersecurity-Skills markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agent-skills-eval or Anthropic-Cybersecurity-Skills?
- agent-skills-eval: Active. Anthropic-Cybersecurity-Skills: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agent-skills-eval and Anthropic-Cybersecurity-Skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-skills-eval trust report; Anthropic-Cybersecurity-Skills trust report.