REPOGEO REPORT · LITE

VoltAgent/awesome-codex-subagents

Default branch main · commit 034fccb3 · scanned 6/27/2026, 9:12:50 PM

GitHub: 5,346 stars · 600 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 VoltAgent/awesome-codex-subagents, 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 it's a collection of files

Why:

CURRENT

This repository serves as the definitive collection of Codex Subagents, specialized AI assistants designed for specific development tasks. Written specifically for Codex and aligned with the official docs.

COPY-PASTE FIX

This repository is the definitive, ready-to-use collection of **171+ pre-built Codex Subagent configuration files (.toml)**, designed for specific development tasks. Easily integrate these specialized AI assistants directly into your Codex environment as documented.

mediumtopics#2

Add more specific topics to emphasize "collection" and "pre-built"

Why:

CURRENT

ai-agents, awesome-list, chatgpt, codex, codex-skills, codex-subagents, subagents

COPY-PASTE FIX

ai-agents, awesome-list, chatgpt, codex, codex-skills, codex-subagents, subagents, pre-built-agents, agent-configurations, developer-tools-collection, codex-agent-files

mediumhomepage#3
Update homepage URL to point to this repository
Why:
CURRENT
```
https://github.com/VoltAgent/voltagent
```
COPY-PASTE FIX
```
https://github.com/VoltAgent/awesome-codex-subagents
```

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 VoltAgent/awesome-codex-subagents

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Agents

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Agents · recommended 1×
Hugging Face Spaces · recommended 1×
LangChain Hub · recommended 1×
LlamaIndex Hub · recommended 1×
OpenAI GPTs · recommended 1×

CATEGORY QUERY
Where can I find pre-built AI agents to assist with various development tasks?
you: not recommended
AI recommended (in order):
1. Hugging Face Agents
2. Hugging Face Spaces
3. LangChain Hub
4. LlamaIndex Hub
5. OpenAI GPTs
6. Cursor.sh
7. Replit AI
8. Tabnine
9. GitHub Copilot
AI recommended 9 alternatives but never named VoltAgent/awesome-codex-subagents. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good pre-configured AI sub-agents for accelerating software development tasks?
you: not recommended
AI recommended (in order):
1. GitHub Copilot Chat
2. Cursor IDE
3. Codeium
4. OpenAI Assistants API
5. LangChain (langchain-ai/langchain)
6. Smol-developer (smol-ai/smol-developer)
7. Aider (paul-gauthier/aider)
AI recommended 7 alternatives but never named VoltAgent/awesome-codex-subagents. 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 VoltAgent/awesome-codex-subagents?
pass
AI named VoltAgent/awesome-codex-subagents explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts VoltAgent/awesome-codex-subagents in production, what risks or prerequisites should they evaluate first?
pass
AI named VoltAgent/awesome-codex-subagents 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 VoltAgent/awesome-codex-subagents solve, and who is the primary audience?
pass
AI did not name VoltAgent/awesome-codex-subagents — 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?

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MARKDOWN (README)

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VoltAgent/awesome-codex-subagents — 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