RRepoGEO

REPOGEO REPORT · LITE

endgameinc/gym-malware

Default branch master · commit 673c93ca · scanned 6/5/2026, 5:53:18 PM

GitHub: 635 stars · 166 forks

AI VISIBILITY SCORE
63 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 0 warn · 1 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 endgameinc/gym-malware, 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
  • highabout#1
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    An OpenAI Gym environment for training reinforcement learning agents to manipulate PE files and evade static machine learning malware detection.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ['openai-gym', 'reinforcement-learning', 'malware', 'malware-analysis', 'evasion', 'cybersecurity', 'machine-learning', 'pe-files']
  • mediumreadme#3
    Refine the README's opening sentence to emphasize malware evasion

    Why:

    CURRENT
    **This is a malware manipulation environment for OpenAI's ``gym``.**
    COPY-PASTE FIX
    **This OpenAI Gym environment enables reinforcement learning agents to manipulate PE files and evade static machine learning malware detection.**

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
1 / 2
50% of queries surface endgameinc/gym-malware
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
DLR-RM/stable-baselines3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 1×
  2. ray-project/ray · recommended 1×
  3. tensorflow/agents · recommended 1×
  4. openai/gym · recommended 1×
  5. lief-project/LIEF · recommended 1×
  • CATEGORY QUERY
    How to use reinforcement learning to develop agents that evade static PE malware detection?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (DLR-RM/stable-baselines3)
    2. Ray RLib (ray-project/ray)
    3. TensorFlow Agents (tensorflow/agents)
    4. OpenAI Gym (openai/gym)
    5. LIEF (lief-project/LIEF)
    6. pefile (erocarrera/pefile)
    7. YARA Rules (VirusTotal/yara)
    8. yara-python (VirusTotal/yara-python)
    9. LightGBM (microsoft/LightGBM)
    10. XGBoost (dmlc/xgboost)
    11. RandomForest
    12. VirusTotal API
    13. Capstone (capstone-engine/capstone)
    14. Keystone Engines (keystone-engine/keystone)

    AI recommended 14 alternatives but never named endgameinc/gym-malware. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What OpenAI Gym environments are available for security research on malware manipulation?
    you: #1
    AI recommended (in order):
    1. Gym-Malware ← you
    2. Gym-Pwn
    3. Gym-IDA-Pro
    4. Gym-Retro
    5. MalConv-Gym
    6. Cuckoo Sandbox
    7. Any.Run API
    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 endgameinc/gym-malware?
    pass
    AI named endgameinc/gym-malware explicitly

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

  • If a team adopts endgameinc/gym-malware in production, what risks or prerequisites should they evaluate first?
    pass
    AI named endgameinc/gym-malware 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 endgameinc/gym-malware solve, and who is the primary audience?
    pass
    AI named endgameinc/gym-malware explicitly

    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 endgameinc/gym-malware. 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/endgameinc/gym-malware.svg)](https://repogeo.com/en/r/endgameinc/gym-malware)
HTML
<a href="https://repogeo.com/en/r/endgameinc/gym-malware"><img src="https://repogeo.com/badge/endgameinc/gym-malware.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

endgameinc/gym-malware — 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