RRepoGEO

REPOGEO REPORT · LITE

inference-sh/skills

Default branch main · commit abf84461 · scanned 6/3/2026, 8:17:44 AM

GitHub: 504 stars · 84 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 inference-sh/skills, 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
    Reposition the README H1 and opening paragraph to clarify its role as an agent skill orchestration framework

    Why:

    CURRENT
    # inference.sh skills
    
    AI agent skills for 250+ models via inference.sh CLI. Generate images, videos, call LLMs, search the web, and more.
    COPY-PASTE FIX
    # inference.sh skills: Agent Skill Orchestration CLI
    
    An open-source CLI and framework for AI agents to access and orchestrate 250+ external skills, including image/video generation, LLM calls, and web search, via the inference.sh API.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the full text of the MIT License.

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 inference-sh/skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI DALL-E 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI DALL-E 3 · recommended 1×
  2. Midjourney · recommended 1×
  3. Stability AI Stable Diffusion · recommended 1×
  4. Google Imagen · recommended 1×
  5. RunwayML Gen-2 · recommended 1×
  • CATEGORY QUERY
    How can I extend my AI agent's capabilities to generate images and videos?
    you: not recommended
    AI recommended (in order):
    1. OpenAI DALL-E 3
    2. Midjourney
    3. Stability AI Stable Diffusion
    4. Google Imagen
    5. RunwayML Gen-2
    6. Pika Labs
    7. Meta Make-A-Video

    AI recommended 7 alternatives but never named inference-sh/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows my AI agent to access hundreds of external applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Zapier NLA
    4. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    5. n8n (n8n-io/n8n)
    6. Airbyte (airbytehq/airbyte)

    AI recommended 6 alternatives but never named inference-sh/skills. This is the gap to close.

    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 inference-sh/skills?
    pass
    AI named inference-sh/skills explicitly

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

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

Subscribe to Pro for deep diagnoses

inference-sh/skills — 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
inference-sh/skills — RepoGEO report