REPOGEO REPORT · LITE
endgameinc/gym-malware
Default branch master · commit 673c93ca · scanned 6/5/2026, 5:53:18 PM
GitHub: 635 stars · 166 forks
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.
- highabout#1Add a concise description to the About section
Why:
COPY-PASTE FIXAn OpenAI Gym environment for training reinforcement learning agents to manipulate PE files and evade static machine learning malware detection.
- hightopics#2Add specific topics to improve categorization
Why:
COPY-PASTE FIX['openai-gym', 'reinforcement-learning', 'malware', 'malware-analysis', 'evasion', 'cybersecurity', 'machine-learning', 'pe-files']
- mediumreadme#3Refine 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.
- DLR-RM/stable-baselines3 · recommended 1×
- ray-project/ray · recommended 1×
- tensorflow/agents · recommended 1×
- openai/gym · recommended 1×
- lief-project/LIEF · recommended 1×
- CATEGORY QUERYHow to use reinforcement learning to develop agents that evade static PE malware detection?you: not recommendedAI recommended (in order):
- Stable Baselines3 (DLR-RM/stable-baselines3)
- Ray RLib (ray-project/ray)
- TensorFlow Agents (tensorflow/agents)
- OpenAI Gym (openai/gym)
- LIEF (lief-project/LIEF)
- pefile (erocarrera/pefile)
- YARA Rules (VirusTotal/yara)
- yara-python (VirusTotal/yara-python)
- LightGBM (microsoft/LightGBM)
- XGBoost (dmlc/xgboost)
- RandomForest
- VirusTotal API
- Capstone (capstone-engine/capstone)
- 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 QUERYWhat OpenAI Gym environments are available for security research on malware manipulation?you: #1AI recommended (in order):
- Gym-Malware ← you
- Gym-Pwn
- Gym-IDA-Pro
- Gym-Retro
- MalConv-Gym
- Cuckoo Sandbox
- Any.Run API
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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
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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