RRepoGEO

REPOGEO REPORT · LITE

capgym/cap-x

Default branch main · commit 53e9966d · scanned 6/7/2026, 12:37:10 PM

GitHub: 529 stars · 81 forks

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 capgym/cap-x, 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 for robotics, code-as-policy, and benchmarking

    Why:

    COPY-PASTE FIX
    robotics, robot-manipulation, code-as-policy, reinforcement-learning, benchmarking, simulation, AI-agents, gymnasium
  • highabout#2
    Clarify the 'About' description to explicitly state the robotics domain

    Why:

    CURRENT
    A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
    COPY-PASTE FIX
    A Robotics Framework for Benchmarking and Improving Code-as-Policy Agents in Robot Manipulation
  • mediumreadme#3
    Strengthen the README's opening sentence with explicit keywords

    Why:

    CURRENT
    CaP-X is an open-access framework for systematically studying Code-as-Policy agents in robot manipulation.
    COPY-PASTE FIX
    CaP-X is an open-access **robotics framework** for systematically studying and benchmarking **Code-as-Policy agents** in **robot manipulation and control** within interactive **simulation environments**.

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 capgym/cap-x
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS (Robot Operating System)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS (Robot Operating System) · recommended 2×
  2. osrf/gazebo · recommended 1×
  3. bulletphysics/bullet3 · recommended 1×
  4. deepmind/mujoco · recommended 1×
  5. Isaac Sim · recommended 1×
  • CATEGORY QUERY
    How to evaluate and compare different code-based policies for robotic control tasks?
    you: not recommended
    AI recommended (in order):
    1. Gazebo (osrf/gazebo)
    2. PyBullet (bulletphysics/bullet3)
    3. MuJoCo (deepmind/mujoco)
    4. Isaac Sim
    5. Webots (cyberbotics/webots)
    6. ROS (Robot Operating System)
    7. ros_control (ros-controls/ros_control)
    8. moveit (ros-planning/moveit)
    9. PyTorch (pytorch/pytorch)
    10. TensorFlow (tensorflow/tensorflow)
    11. OpenAI Gym (openai/gym)
    12. Gymnasium (Farama-Foundation/Gymnasium)
    13. SciPy (scipy/scipy)
    14. NumPy (numpy/numpy)
    15. TensorBoard (tensorflow/tensorboard)
    16. Matplotlib (matplotlib/matplotlib)
    17. Seaborn (mwaskom/seaborn)
    18. Pandas (pandas-dev/pandas)
    19. Jupyter Notebooks (jupyter/notebook)
    20. Google Colab
    21. ROS bags

    AI recommended 21 alternatives but never named capgym/cap-x. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for developing and enhancing robot manipulation agents using code?
    you: not recommended
    AI recommended (in order):
    1. ROS (Robot Operating System)
    2. MoveIt
    3. PyBullet
    4. Isaac Sim (NVIDIA Isaac SDK)
    5. RLBench (stepjam/RLBench)
    6. RoboStack (RoboStack/robostack)
    7. Franka Emika Panda ROS packages (frankaemika/franka_ros)

    AI recommended 7 alternatives but never named capgym/cap-x. 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 capgym/cap-x?
    pass
    AI named capgym/cap-x explicitly

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

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

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

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capgym/cap-x — 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