RRepoGEO

REPOGEO REPORT · LITE

TencentCloud/CubeSandbox

Default branch master · commit 46424e74 · scanned 5/18/2026, 4:07:04 PM

GitHub: 5,733 stars · 435 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
40 /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
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 TencentCloud/CubeSandbox, 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
    Add an explicit problem statement for AI agents in the README's opening

    Why:

    CURRENT
    Cube Sandbox is a high-performance, out-of-the-box secure sandbox service built on RustVMM and KVM. It supports both single-node deployment and easy scaling to multi-node clusters. It is compatible with the E2B SDK and can create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead.
    COPY-PASTE FIX
    AI agents often require isolated, secure, and high-performance environments to execute untrusted code safely and concurrently. Cube Sandbox is purpose-built to meet these demands, offering a high-performance, out-of-the-box secure sandbox service built on RustVMM and KVM. It supports both single-node deployment and easy scaling to multi-node clusters. It is compatible with the E2B SDK and can create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead.
  • mediumtopics#2
    Expand and refine GitHub topics for better categorization

    Why:

    CURRENT
    agents, container, sandbox
    COPY-PASTE FIX
    ai-agents, llm-agents, secure-execution, microvm, rustvmm, kvm, virtualization, sandbox, container
  • lowlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
    This project is licensed under the terms found in the [LICENSE file](./LICENSE), which outlines the specific conditions for use and distribution.

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 TencentCloud/CubeSandbox
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
gVisor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. gVisor · recommended 1×
  2. Firecracker · recommended 1×
  3. Kata Containers · recommended 1×
  4. WebAssembly (Wasm) · recommended 1×
  5. Wasmtime · recommended 1×
  • CATEGORY QUERY
    How can I securely and quickly run untrusted code for AI agents?
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Firecracker
    3. Kata Containers
    4. WebAssembly (Wasm)
    5. Wasmtime
    6. Wasmer
    7. Docker
    8. Seccomp
    9. AppArmor
    10. SELinux
    11. NSjail
    12. chroot
    13. ulimit

    AI recommended 13 alternatives but never named TencentCloud/CubeSandbox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight, hardware-isolated sandbox service for concurrent AI agent execution.
    you: not recommended
    AI recommended (in order):
    1. Firecracker (firecracker-microvm/firecracker)
    2. gVisor (google/gvisor)
    3. Kata Containers (kata-containers/kata-containers)
    4. Cloud Hypervisor (cloud-hypervisor/cloud-hypervisor)
    5. NVIDIA MIG

    AI recommended 5 alternatives but never named TencentCloud/CubeSandbox. 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 TencentCloud/CubeSandbox?
    pass
    AI named TencentCloud/CubeSandbox explicitly

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

  • If a team adopts TencentCloud/CubeSandbox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TencentCloud/CubeSandbox 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 TencentCloud/CubeSandbox solve, and who is the primary audience?
    pass
    AI named TencentCloud/CubeSandbox 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 TencentCloud/CubeSandbox. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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TencentCloud/CubeSandbox — 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