Comparison
Anthropic-Cybersecurity-Skills vs scikit-learn
Verdict
Pick Anthropic-Cybersecurity-Skills when license: Anthropic-Cybersecurity-Skills is Apache-2.0, scikit-learn is BSD-3-Clause; pick scikit-learn when license: scikit-learn is BSD-3-Clause, Anthropic-Cybersecurity-Skills is Apache-2.0.
Markdown twin · Anthropic-Cybersecurity-Skills alternatives · scikit-learn alternatives
GraphCanon updated today
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Trust & integrity
| Signal | Anthropic-Cybersecurity-Skills | scikit-learn |
|---|---|---|
| Maintenance | Active (14d since push) As of 1d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of 1d · mcp_manifest | No lockfile As of today · none |
Tagline
- Anthropic-Cybersecurity-Skills
- 817 structured cybersecurity skills for AI agents
- scikit-learn
- scikit-learn: machine learning in Python
Stars
- Anthropic-Cybersecurity-Skills
- 25k
- scikit-learn
- 67k
Forks
- Anthropic-Cybersecurity-Skills
- 3.1k
- scikit-learn
- 27k
Open issues
- Anthropic-Cybersecurity-Skills
- 35
- scikit-learn
- 2.1k
Language
- Anthropic-Cybersecurity-Skills
- Python
- scikit-learn
- Python
Adopt for
- 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.
- scikit-learn
- -
Persona
- Anthropic-Cybersecurity-Skills
- -
- scikit-learn
- -
Runtime
- Anthropic-Cybersecurity-Skills
- -
- scikit-learn
- -
License
- Anthropic-Cybersecurity-Skills
- Apache-2.0
- scikit-learn
- BSD-3-Clause
Last pushed
- Anthropic-Cybersecurity-Skills
- Jun 26, 2026
- scikit-learn
- Jul 11, 2026
Categories
- Anthropic-Cybersecurity-Skills
- AI Agents, Evaluation & Observability
- scikit-learn
- Computer Vision, Evaluation & Observability
Trust and health
Maintenance
- Anthropic-Cybersecurity-Skills
- Active (82%)
- scikit-learn
- Very active (96%)
Days since push
- Anthropic-Cybersecurity-Skills
- 14d
- scikit-learn
- 0d
Open issues (now)
- Anthropic-Cybersecurity-Skills
- 35
- scikit-learn
- 2.1k
Owner type
- Anthropic-Cybersecurity-Skills
- User
- scikit-learn
- Organization
Security scan
- Anthropic-Cybersecurity-Skills
- No MCP manifest
- scikit-learn
- No lockfile
Full report
- Anthropic-Cybersecurity-Skills
- Trust report
- scikit-learn
- Trust report
Choose Anthropic-Cybersecurity-Skills if…
- License: Anthropic-Cybersecurity-Skills is Apache-2.0, scikit-learn is BSD-3-Clause.
- 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: ai-agents, cybersecurity, mitre-attack, nist-csf.
- Also covers AI Agents.
- - 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.
Choose scikit-learn if…
- License: scikit-learn is BSD-3-Clause, Anthropic-Cybersecurity-Skills is Apache-2.0.
- Tags unique to scikit-learn: data-analysis, data-science, machine-learning, python.
- Also covers Computer Vision.
When NOT to use scikit-learn
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mukul975/Anthropic-Cybersecurity-Skills) · observed Jul 11, 2026
- GitHub forks (mukul975/Anthropic-Cybersecurity-Skills) · observed Jul 11, 2026
- Last push (mukul975/Anthropic-Cybersecurity-Skills) · observed Jun 26, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (scikit-learn/scikit-learn) · observed Jul 11, 2026
- GitHub forks (scikit-learn/scikit-learn) · observed Jul 11, 2026
- Last push (scikit-learn/scikit-learn) · observed Jul 11, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Anthropic-Cybersecurity-Skills 25k · scikit-learn 67k (synced Jul 11, 2026).
Common questions
- What is the difference between Anthropic-Cybersecurity-Skills and scikit-learn?
- Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. scikit-learn: scikit-learn: machine learning in Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose Anthropic-Cybersecurity-Skills over scikit-learn?
- Choose Anthropic-Cybersecurity-Skills over scikit-learn when License: Anthropic-Cybersecurity-Skills is Apache-2.0, scikit-learn is BSD-3-Clause; 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: ai-agents, cybersecurity, mitre-attack, nist-csf; Also covers AI Agents; - 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 choose scikit-learn over Anthropic-Cybersecurity-Skills?
- Choose scikit-learn over Anthropic-Cybersecurity-Skills when License: scikit-learn is BSD-3-Clause, Anthropic-Cybersecurity-Skills is Apache-2.0; Tags unique to scikit-learn: data-analysis, data-science, machine-learning, python; Also covers Computer Vision.
- 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.
- When should I avoid scikit-learn?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is Anthropic-Cybersecurity-Skills or scikit-learn more popular on GitHub?
- scikit-learn has more GitHub stars (66,693 vs 25,282). Stars measure visibility, not whether either tool fits your constraints.
- Are Anthropic-Cybersecurity-Skills and scikit-learn open source?
- Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, scikit-learn: BSD-3-Clause).
- Where can I find alternatives to Anthropic-Cybersecurity-Skills or scikit-learn?
- GraphCanon lists graph-backed alternatives at Anthropic-Cybersecurity-Skills alternatives and scikit-learn alternatives (Anthropic-Cybersecurity-Skills markdown twin, scikit-learn 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, Anthropic-Cybersecurity-Skills or scikit-learn?
- Anthropic-Cybersecurity-Skills: Active. scikit-learn: Very 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 Anthropic-Cybersecurity-Skills and scikit-learn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Anthropic-Cybersecurity-Skills trust report; scikit-learn trust report.