RRepoGEO

REPOGEO REPORT · LITE

mukul975/Anthropic-Cybersecurity-Skills

Default branch main · commit 77d5d9d6 · scanned 5/10/2026, 11:36:35 PM

GitHub: 6,161 stars · 850 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface mukul975/Anthropic-Cybersecurity-Skills, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the repo's nature as a structured dataset/knowledge base in the README

    Why:

    CURRENT
    ### The largest open-source cybersecurity skills library for AI agents
    COPY-PASTE FIX
    ### The largest open-source cybersecurity skills library for AI agents
    This repository provides a comprehensive, structured dataset of 754 cybersecurity skills, designed as a knowledge base for AI agents in security operations.
  • mediumabout#2
    Refine the 'About' description to emphasize 'structured dataset' and 'knowledge base'

    Why:

    CURRENT
    754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
    COPY-PASTE FIX
    A structured dataset and knowledge base of 754 cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
  • mediumtopics#3
    Add specific topics for 'AI agent skills', 'cybersecurity dataset', and 'security knowledge base'

    Why:

    CURRENT
    ai-agents, claude-code, cloud-security, cybersecurity, devsecops, ethical-hacking, incident-response, infosec, llm, malware-analysis, mcp, mitre-attack, nist-csf, osint, penetration-testing, red-team, security, security-automation, threat-hunting, threat-intelligence
    COPY-PASTE FIX
    ai-agents, claude-code, cloud-security, cybersecurity, devsecops, ethical-hacking, incident-response, infosec, llm, malware-analysis, mcp, mitre-attack, nist-csf, osint, penetration-testing, red-team, security, security-automation, threat-hunting, threat-intelligence, ai-agent-skills, cybersecurity-dataset, security-knowledge-base

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface mukul975/Anthropic-Cybersecurity-Skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/jena
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/jena · recommended 1×
  2. protegeproject/protege · recommended 1×
  3. Stardog · recommended 1×
  4. explosion/spaCy · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How to integrate structured cybersecurity skills into AI agents for security operations?
    you: not recommended
    AI recommended (in order):
    1. Apache Jena (apache/jena)
    2. Protégé (protegeproject/protege)
    3. Stardog
    4. spaCy (explosion/spaCy)
    5. Hugging Face Transformers (huggingface/transformers)
    6. NLTK (nltk/nltk)
    7. Splunk SOAR
    8. Palo Alto Networks Cortex XSOAR
    9. Swimlane
    10. scikit-learn (scikit-learn/scikit-learn)
    11. TensorFlow (tensorflow/tensorflow)
    12. PyTorch (pytorch/pytorch)
    13. Elasticsearch (elastic/elasticsearch)
    14. Logstash (elastic/logstash)
    15. Kibana (elastic/kibana)
    16. Apache Kafka (apache/kafka)

    AI recommended 16 alternatives but never named mukul975/Anthropic-Cybersecurity-Skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there open-source libraries providing AI agent security skills mapped to industry standards?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for LLMs
    2. Garak
    3. LLM Guard
    4. LangChain
    5. Microsoft Guidance
    6. NeMo Guardrails
    7. SecML

    AI recommended 7 alternatives but never named mukul975/Anthropic-Cybersecurity-Skills. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of mukul975/Anthropic-Cybersecurity-Skills?
    pass
    AI named mukul975/Anthropic-Cybersecurity-Skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts mukul975/Anthropic-Cybersecurity-Skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name mukul975/Anthropic-Cybersecurity-Skills — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo mukul975/Anthropic-Cybersecurity-Skills solve, and who is the primary audience?
    pass
    AI did not name mukul975/Anthropic-Cybersecurity-Skills — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of mukul975/Anthropic-Cybersecurity-Skills. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mukul975/Anthropic-Cybersecurity-Skills.svg)](https://repogeo.com/en/r/mukul975/Anthropic-Cybersecurity-Skills)
HTML
<a href="https://repogeo.com/en/r/mukul975/Anthropic-Cybersecurity-Skills"><img src="https://repogeo.com/badge/mukul975/Anthropic-Cybersecurity-Skills.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mukul975/Anthropic-Cybersecurity-Skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite