Home/Compare/Anthropic-Cybersecurity-Skills vs skills

Comparison

Anthropic-Cybersecurity-Skills vs skills

Verdict

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; pick skills if skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more.

Markdown twin · Anthropic-Cybersecurity-Skills alternatives · skills alternatives

GraphCanon updated 1w

Anthropic-Cybersecurity-Skills logo

Anthropic-Cybersecurity-Skills

mukul975/Anthropic-Cybersecurity-Skills

28kpushed Aug 8, 2026
vs
skills logo

skills

qdrant/skills

220pushed Aug 5, 2026

Trust & integrity

SignalAnthropic-Cybersecurity-Skillsskills
Maintenance
Active (8d since push)
As of 1w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of 2w · 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

Anthropic-Cybersecurity-Skills
817 structured cybersecurity skills for AI agents
skills
Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration.

Stars

Anthropic-Cybersecurity-Skills
28k
skills
220

Forks

Anthropic-Cybersecurity-Skills
3.4k
skills
26

Open issues

Anthropic-Cybersecurity-Skills
46
skills
17

Language

Anthropic-Cybersecurity-Skills
Python
skills
Shell

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.
skills
Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more.

Persona

Anthropic-Cybersecurity-Skills
-
skills
-

Runtime

Anthropic-Cybersecurity-Skills
-
skills
-

License

Anthropic-Cybersecurity-Skills
Apache-2.0
skills
Apache-2.0

Last pushed

Anthropic-Cybersecurity-Skills
Aug 8, 2026
skills
Aug 5, 2026

Categories

Anthropic-Cybersecurity-Skills
AI Agents, Evaluation & Observability
skills
AI Agents, Vector Databases

Trust and health

Maintenance

Anthropic-Cybersecurity-Skills
Active (82%)
skills
Very active (96%)

Days since push

Anthropic-Cybersecurity-Skills
8d
skills
0d

Open issues (now)

Anthropic-Cybersecurity-Skills
46
skills
17

Stars delta

Anthropic-Cybersecurity-Skills
+2.3k (30d)
skills
Unknown

Open issues delta

Anthropic-Cybersecurity-Skills
+6 (30d)
skills
Unknown

Owner type

Anthropic-Cybersecurity-Skills
User
skills
Organization

Full report

Anthropic-Cybersecurity-Skills
Trust report

Choose Anthropic-Cybersecurity-Skills if…

  • Anthropic-Cybersecurity-Skills is primarily Python; skills is Shell.
  • 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.
  • Also covers Evaluation & Observability.
  • - 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 skills if…

  • skills is primarily Shell; Anthropic-Cybersecurity-Skills is Python.
  • Tags unique to skills: agent-skills, embeddings, hybrid-search, monitoring.
  • Also covers Vector Databases.
  • Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors

When NOT to use skills

  • Your Qdrant instance is performing well with fewer than a million vectors
  • Looking for help beyond vector search, such as database type selection or general AI agent tasks
  • Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Anthropic-Cybersecurity-Skills 28k · skills 220 (synced Aug 16, 2026).

Common questions

What is the difference between Anthropic-Cybersecurity-Skills and skills?
Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. skills: Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration.. See the comparison table for live GitHub stats and shared categories.
When should I choose Anthropic-Cybersecurity-Skills over skills?
Choose Anthropic-Cybersecurity-Skills over skills when Anthropic-Cybersecurity-Skills is primarily Python; skills is Shell; 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; Also covers Evaluation & Observability; - 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 skills over Anthropic-Cybersecurity-Skills?
Choose skills over Anthropic-Cybersecurity-Skills when skills is primarily Shell; Anthropic-Cybersecurity-Skills is Python; Tags unique to skills: agent-skills, embeddings, hybrid-search, monitoring; Also covers Vector Databases; Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors.
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 skills?
Your Qdrant instance is performing well with fewer than a million vectors Looking for help beyond vector search, such as database type selection or general AI agent tasks Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration
Is Anthropic-Cybersecurity-Skills or skills more popular on GitHub?
Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 220). Stars measure visibility, not whether either tool fits your constraints.
Are Anthropic-Cybersecurity-Skills and skills open source?
Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, skills: Apache-2.0).
Where can I find alternatives to Anthropic-Cybersecurity-Skills or skills?
GraphCanon lists graph-backed alternatives at Anthropic-Cybersecurity-Skills alternatives and skills alternatives (Anthropic-Cybersecurity-Skills markdown twin, 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, Anthropic-Cybersecurity-Skills or skills?
Anthropic-Cybersecurity-Skills: Active. skills: 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 skills?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Anthropic-Cybersecurity-Skills trust report; skills trust report.

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