RRepoGEO

REPOGEO REPORT · LITE

gadievron/raptor

Default branch main · commit 3319c69d · scanned 5/20/2026, 10:22:13 AM

GitHub: 2,681 stars · 421 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 gadievron/raptor, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, cybersecurity, offensive-security, defensive-security, claude-ai, security-research, vulnerability-research, threat-analysis
  • highreadme#2
    Move the project's core purpose to the top of the README

    Why:

    CURRENT
    ```text
╔═══════════════════════════════════════════════════════════════════════════╗
║                                                                           ║
║             ██████╗  █████╗ ██████╗ ████████╗ ██████╗ ██████╗             ║
║             ██╔══██╗██╔══██╗██╔══██╗╚══██╔══╝██╔═══██╗██╔══██╗            ║
║             ██████╔╝███████║██████╔╝   ██║   ██║   ██║██████╔╝             ...
    COPY-PASTE FIX
    Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for adversarial thinking, and perform research or attack/defense operations.

```text
╔═══════════════════════════════════════════════════════════════════════════╗
║                                                                           ║
║             ██████╗  █████╗ ██████╗ ████████╗ ██████╗ ██████╗             ║
║             ██╔══██╗██╔══██╗██╔══██╗╚══██╔══╝██╔═══██╗██╔══██╗            ║
║             ██████╔╝███████║██████╔╝   ██║   ██║   ██║██████╔╝             ...
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please review the file for full details on usage and distribution.

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 gadievron/raptor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. PyTorch · recommended 2×
  3. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  4. GitHub Copilot / CodeWhisperer · recommended 1×
  5. Metasploit Framework · recommended 1×
  • CATEGORY QUERY
    How can I use AI to automate offensive security testing and vulnerability research?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. GitHub Copilot / CodeWhisperer
    3. Metasploit Framework
    4. Burp Suite
    5. OWASP ZAP
    6. Deep Exploit
    7. scikit-learn
    8. TensorFlow
    9. PyTorch

    AI recommended 9 alternatives but never named gadievron/raptor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build autonomous AI agents for cybersecurity defense and threat analysis?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Stable Baselines3
    3. Hugging Face Transformers
    4. PyTorch
    5. TensorFlow
    6. Apache Flink
    7. Apache Kafka
    8. Elastic Stack
    9. Elasticsearch
    10. Kibana
    11. Logstash
    12. MalwareBazaar
    13. VirusTotal API
    14. MITRE ATT&CK Framework
    15. OpenC2

    AI recommended 15 alternatives but never named gadievron/raptor. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 gadievron/raptor?
    pass
    AI named gadievron/raptor explicitly

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

  • If a team adopts gadievron/raptor in production, what risks or prerequisites should they evaluate first?
    pass
    AI named gadievron/raptor explicitly

    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 gadievron/raptor solve, and who is the primary audience?
    pass
    AI named gadievron/raptor explicitly

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

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gadievron/raptor — 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