RRepoGEO

REPOGEO REPORT · LITE

finbarr/yolobox

Default branch master · commit 55588c1c · scanned 6/3/2026, 10:02:06 AM

GitHub: 605 stars · 46 forks

AI VISIBILITY SCORE
28 /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
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 finbarr/yolobox, 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 specific topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, sandboxing, security, developer-tools, containerization, llm-agents, code-generation
  • highabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Let your AI go full send. Your home directory stays home.
    COPY-PASTE FIX
    Sandbox for AI coding agents: run LLM agents with full permissions in an isolated container, protecting your home directory.
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://yolobox.dev

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 finbarr/yolobox
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 2×
  2. gVisor · recommended 2×
  3. Kubernetes · recommended 1×
  4. VMware vSphere · recommended 1×
  5. KVM · recommended 1×
  • CATEGORY QUERY
    How can I run AI coding agents with root access safely isolated from my system?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Kubernetes
    3. VMware vSphere
    4. KVM
    5. VirtualBox
    6. Hyper-V
    7. Firecracker
    8. AWS Lambda
    9. Google Cloud Run
    10. gVisor
    11. LXC

    AI recommended 11 alternatives but never named finbarr/yolobox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are tools for sandboxing AI agent execution to protect my local machine?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Firejail
    3. gVisor
    4. Kata Containers
    5. NSjail
    6. QEMU/KVM

    AI recommended 6 alternatives but never named finbarr/yolobox. 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 finbarr/yolobox?
    pass
    AI did not name finbarr/yolobox — 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 finbarr/yolobox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named finbarr/yolobox 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 finbarr/yolobox solve, and who is the primary audience?
    pass
    AI named finbarr/yolobox explicitly

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

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finbarr/yolobox — 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