RRepoGEO

REPOGEO REPORT · LITE

xenodium/agent-shell

Default branch main · commit a2915b89 · scanned 7/1/2026, 2:13:11 AM

GitHub: 1,462 stars · 186 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 xenodium/agent-shell, 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
  • highreadme#1
    Reposition README opening to clarify unique value

    Why:

    CURRENT
    #+TITLE: Emacs Agent Shell
#+AUTHOR: Álvaro Ramírez

[[https://melpa.org/#/agent-shell][file:https://melpa.org/packages/agent-shell-badge.svg]]

👉 [[https://github.com/sponsors/xenodium][Support this work via GitHub Sponsors]] by [[https://github.com/xenodium][@xenodium]] (check out my [[https://xenodium.com][blog]])

[[file:agent-shell.png]]

* This project needs your funding

As you pay for those useful LLM tokens, consider [[https://github.com/sponsors/xenodium][sponsoring]] development and maintenance of this project. With your help, I can make this effort more [[https://github.com/sponsors/xenodium][sustainable]].

Thank you!

[[https://xenodium.com/][Alvaro]]

* agent-shell

A native Emacs shell to interact with LLM agents powered by ACP ([[https://agentclientprotocol.com][Agent Client Protocol]]).
    COPY-PASTE FIX
    #+TITLE: Emacs Agent Shell: A Native Interface for LLM Agents via ACP
#+AUTHOR: Álvaro Ramírez

A native Emacs shell designed for seamless interaction with *multiple* LLM agents powered by the Agent Client Protocol (ACP). Unlike general LLM APIs or frameworks, agent-shell provides a consistent, integrated environment within Emacs to chat with agents like Gemini CLI, Claude Agent, and more.

[[https://melpa.org/#/agent-shell][file:https://melpa.org/packages/agent-shell-badge.svg]]

👉 [[https://github.com/sponsors/xenodium][Support this work via GitHub Sponsors]] by [[https://github.com/xenodium][@xenodium]] (check out my [[https://xenodium.com][blog]])
  • mediumtopics#2
    Add more specific topics to clarify category

    Why:

    CURRENT
    ai, claude, claude-code, codex, emacs, emacs-lisp, gemini, goose, llm, openai
    COPY-PASTE FIX
    ai, claude, claude-code, codex, emacs, emacs-lisp, emacs-package, emacs-mode, gemini, goose, llm, llm-interface, openai, agent-client-protocol, chatbot-interface
  • mediumreadme#3
    Add a 'Why agent-shell?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why agent-shell?' or 'Comparison' that explicitly outlines how agent-shell differs from general LLM APIs (like OpenAI API), LLM frameworks (like LangChain), or other integration platforms (like Zapier), emphasizing its native Emacs integration for *multiple* ACP-driven agents.

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 xenodium/agent-shell
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    Looking for a way to interact with large language models within my coding environment.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers (huggingface/transformers)
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. Google Cloud Vertex AI
    6. Anthropic API

    AI recommended 6 alternatives but never named xenodium/agent-shell. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use multiple AI chatbot agents from a single consistent interface?
    you: not recommended
    AI recommended (in order):
    1. Zapier
    2. Make
    3. LangChain
    4. LlamaIndex
    5. OpenRouter.ai
    6. LiteLLM
    7. Botpress
    8. Voiceflow
    9. Flask
    10. FastAPI
    11. Node.js
    12. Express

    AI recommended 12 alternatives but never named xenodium/agent-shell. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 xenodium/agent-shell?
    pass
    AI did not name xenodium/agent-shell — likely talking about a different project

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

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

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

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xenodium/agent-shell — 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