RRepoGEO

REPOGEO REPORT · LITE

sentient-agi/EvoSkill

Default branch main · commit 82cdbc70 · scanned 6/10/2026, 11:17:11 PM

GitHub: 870 stars · 99 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 sentient-agi/EvoSkill, 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

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

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening positioning for AI

    Why:

    CURRENT
    <b>Turn your general AI agents into state-of-the-art specialists with a benchmark and EvoSkill, a toolkit for automatically creating and improving AI skills, compatible with Claude Code, Codex CLI, OpenCode, OpenHands, Goose, Harbor, and more.</b>
    COPY-PASTE FIX
    <b>EvoSkill is an open-source framework that automatically discovers and synthesizes reusable agent skills from failed trajectories to improve the performance of AI coding agents. Turn your general AI agents into state-of-the-art specialists with this toolkit for automatically creating and improving AI skills, compatible with Claude Code, Codex CLI, OpenCode, OpenHands, Goose, Harbor, and more.</b>
  • mediumhomepage#2
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://sentient.xyz

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 sentient-agi/EvoSkill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 1×
  2. DLR-RM/stable-baselines3 · recommended 1×
  3. openai/gym · recommended 1×
  4. Farama-Foundation/Gymnasium · recommended 1×
  5. pytest-dev/pytest · recommended 1×
  • CATEGORY QUERY
    How can I automatically improve my AI coding agent's performance by learning from past failures?
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib (ray-project/ray)
    2. Stable Baselines3 (DLR-RM/stable-baselines3)
    3. OpenAI Gym (openai/gym)
    4. Farama Gymnasium (Farama-Foundation/Gymnasium)
    5. pytest (pytest-dev/pytest)
    6. JUnit (junit-team/junit5)
    7. NUnit (nunit/nunit)
    8. Mocha (mochajs/mocha)
    9. Jest (facebook/jest)
    10. spaCy (explosion/spaCy)
    11. NLTK (nltk/nltk)
    12. Hugging Face Transformers (huggingface/transformers)
    13. ELK Stack
    14. Elasticsearch (elastic/elasticsearch)
    15. Logstash (elastic/logstash)
    16. Kibana (elastic/kibana)
    17. PyTorch MAML
    18. TensorFlow MAML
    19. Git
    20. MLflow (mlflow/mlflow)
    21. Weights & Biases (W&B)
    22. PostgreSQL
    23. MongoDB
    24. FAISS (facebookresearch/faiss)
    25. Pinecone

    AI recommended 25 alternatives but never named sentient-agi/EvoSkill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for automated skill discovery and evolution in AI agents for coding tasks?
    you: not recommended
    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 sentient-agi/EvoSkill?
    pass
    AI named sentient-agi/EvoSkill explicitly

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

  • If a team adopts sentient-agi/EvoSkill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sentient-agi/EvoSkill 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 sentient-agi/EvoSkill solve, and who is the primary audience?
    pass
    AI named sentient-agi/EvoSkill 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 sentient-agi/EvoSkill. 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/sentient-agi/EvoSkill.svg)](https://repogeo.com/en/r/sentient-agi/EvoSkill)
HTML
<a href="https://repogeo.com/en/r/sentient-agi/EvoSkill"><img src="https://repogeo.com/badge/sentient-agi/EvoSkill.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

sentient-agi/EvoSkill — 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