REPOGEO REPORT · LITE

codingmoh/open-codex

Default branch master · commit 87aaaed1 · scanned 6/12/2026, 10:32:27 AM

GitHub: 690 stars · 52 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 codingmoh/open-codex, 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 relevant topics to the repository

Why:

COPY-PASTE FIX

cli, ai-assistant, llm, local-llm, ollama, code-generation, shell-commands, developer-tools, terminal-tool

highhomepage#2
Set the repository homepage URL
Why:
COPY-PASTE FIX
```
https://github.com/codingmoh/open-codex
```
mediumreadme#3
Enhance the main README title to be more descriptive
Why:
CURRENT
```
# Open Codex
```
COPY-PASTE FIX
```
# Open Codex: Local AI Assistant for Terminal Commands
```

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 codingmoh/open-codex

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Code Llama

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Code Llama · recommended 2×
akl7777777/ShellGPT · recommended 1×
ollama/ollama · recommended 1×
Llama 3 · recommended 1×
ggerganov/llama.cpp · recommended 1×

CATEGORY QUERY
Looking for a command-line tool to convert natural language into shell scripts offline.
you: not recommended
AI recommended (in order):
1. ShellGPT (akl7777777/ShellGPT)
2. Ollama (ollama/ollama)
3. Llama 3
4. Code Llama
5. Llama.cpp (ggerganov/llama.cpp)
6. GPT-J-6B
7. Hugging Face Transformers (huggingface/transformers)
8. Code Llama
AI recommended 8 alternatives but never named codingmoh/open-codex. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good open-source AI assistants for generating terminal commands with local LLMs?
you: not recommended
AI recommended (in order):
1. Continue
2. smol-developer
3. Open Interpreter
4. Ollama
5. GPT4All
AI recommended 5 alternatives but never named codingmoh/open-codex. 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 codingmoh/open-codex?
pass
AI named codingmoh/open-codex explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts codingmoh/open-codex in production, what risks or prerequisites should they evaluate first?
pass
AI named codingmoh/open-codex 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 codingmoh/open-codex solve, and who is the primary audience?
pass
AI named codingmoh/open-codex 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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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/codingmoh/open-codex.svg)](https://repogeo.com/en/r/codingmoh/open-codex)

HTML

<a href="https://repogeo.com/en/r/codingmoh/open-codex"><img src="https://repogeo.com/badge/codingmoh/open-codex.svg" alt="RepoGEO" /></a>

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codingmoh/open-codex — 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