TencentCloud/CubeSandbox - Open Source PR Review Scorecard

Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.

C-Rank Grade: A (Welcoming) - 62/100

External PR Merge Rate: 67%

Response Time: 2d

First Timer Success: 42%

Frequently Asked Questions

Is TencentCloud/CubeSandbox welcoming to first-time open-source contributors?

TencentCloud/CubeSandbox has a recorded first-timer success rate of 41.8%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in TencentCloud/CubeSandbox respond to incoming external pull requests in approximately 41.7 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 61.9 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 61.9 places TencentCloud/CubeSandbox in the A tier.

What is the external contributor pull request merge rate for TencentCloud/CubeSandbox?

The external contributor pull request merge rate for TencentCloud/CubeSandbox is 66.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in TencentCloud/CubeSandbox?

TencentCloud/CubeSandbox currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
7.5/10
Patience Score
8.0/10
Nitpick Rate
40%

Strict review standards in TencentCloud/CubeSandbox. Ensure PR scope matches issue requirements closely before requesting review.

Top PR Submission Do's

  • Ensure code complies with the project coding style
  • Keep PRs scoped to a single concern
  • Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • Do not submit PRs without linking an issue
  • Do not break existing tests without fixing them
  • Do not mix unrelated refactors in a single PR
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
66.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
41.8%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
60 core
Highly collaborative maintainer core
Diagnostic Health HUD
66.8%
Merge Gauge
41.8%
1st-Timer
Community Vibe39/100

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Active Good First Issues (5)

View on GitHub

Problem / Motivation MySQL 表中的数据使用软删除,且无清理机制,数据量会一直增大 Proposed Solution 增加定时清理机制 Alternatives Considered NA Additional Context NA

📅 Opened Jul 15, 2026💬 3 comments
Quality: 50/100Contribute

Problem / Motivation Background All template building, distribution, snapshot management, and compatibility checking logic is currently embedded within a single package (~13,400 lines of Go) in CubeMaster, running as part of the CubeMaster process. At startup, CubeMaster initializes the template module in-process, registers HTTP routes, and launches background goroutines (Snapshot Reconciler, Artifact GC, compatibility scanning, etc.). Pain Points 1. Tight Coupling — Cannot Scale or Upgrade Independently Template building involves CPU/IO-intensive operations (OCI image pulling, ext4 filesystem creation) that compete for resources with CubeMaster's latency-sensitive paths (scheduling, sandbox management). Background tasks run as in-process goroutines with no coordination mechanism across multiple CubeMaster replicas. Any changes to template building logic require a full CubeMaster release — no independent iteration. 2. Concurrency Safety in Multi-Replica Deployments (PR #194) PR #

📅 Opened Jul 14, 2026💬 1 comment
Quality: 90/100Contribute

What this issue is about Cube Sandbox doesn't have an Integrations section yet. We'd love your help building one — so developers around the world can plug Cube into the AI agent frameworks they already use. 💡 Cube is compatible with the E2B SDK — in most cases, switching from E2B to Cube is just a single env var change, while gaining MicroVM-level isolation. That makes each integration guide pretty light to write. What you can contribute An integration guide for one AI agent framework. Candidate frameworks (pick one — first come, first served; you're also welcome to propose frameworks not listed here): Framework Type LangChain Power your agent with Cube LlamaIndex Power your agent with Cube Dify Power your agent with Cube AutoGen Power your agent with Cube CrewAI Power your agent with Cube Google ADK Power your agent with Cube Claude Code Run your agent inside Cube OpenClaw Run your agent inside Cube OpenHands Run your agent inside Cube Others Ea

📅 Opened May 14, 2026💬 11 comments
Quality: 90/100Contribute

What this issue is about Cube Sandbox doesn't have a Use Cases gallery yet. We'd love your help building one — tell us what you've built with Cube so other developers can draw inspiration from your real-world experience. What you can contribute Any solution or case study that uses Cube in a real business scenario. Examples: a sandboxed runtime for AI coding agents, browser automation, code execution sandboxes, SWE-bench evaluation, data analysis notebooks, multi-agent collaboration environments — anything that shows Cube doing real work. Each case study just needs to cover four things: The problem you're solving (business context, in 1–2 sentences) Your approach (an architecture diagram and the key components) Key code or config (just enough to convey the design; doesn't need to be fully runnable) Lessons learned (why you chose Cube, what trade-offs you made) Where to submit a PR Create a new standalone markdown file for your case study — one file per case. The site will auto

📅 Opened May 14, 2026💬 0 comments
Quality: 90/100Contribute

What this issue is about Cube Sandbox doesn't have a Troubleshooting page yet. We'd love your help building one — share the issues you've run into so the next person doesn't have to learn the hard way. What you can contribute Any real problem you hit while deploying, configuring, or running Cube — along with how you solved it. Each entry just needs to cover three things: What went wrong (paste the error or describe the symptom) Why it happened (root cause, in one sentence) How you fixed it (the commands or steps that worked) Where to submit a PR Create a new standalone markdown file — one file per topic. The site will automatically render it as a sub-page. Chinese: docs/zh/troubleshooting/<your-topic>.md English: docs/guide/troubleshooting/<your-topic>.md ⚠️ Both Chinese and English versions are required in the same PR — a CI check enforces this and PRs missing either language cannot be merged. If you're more comfortable writing in just one language, feel free to post

📅 Opened May 14, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for TencentCloud/CubeSandbox

When evaluating whether to contribute to TencentCloud/CubeSandbox, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of TencentCloud/CubeSandbox acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 66.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to TencentCloud/CubeSandbox

01

Is TencentCloud/CubeSandbox welcoming to first-time open-source contributors?

TencentCloud/CubeSandbox has a recorded first-timer success rate of 41.8%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 61.9 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 61.9 places TencentCloud/CubeSandbox in the Welcoming tier.

04

What is the external contributor pull request merge rate for TencentCloud/CubeSandbox?

The external pull request merge rate is 66.8%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in TencentCloud/CubeSandbox?

Yes, TencentCloud/CubeSandbox currently has 4 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for TencentCloud/CubeSandbox are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.