IBM/AssetOpsBench - Open Source PR Review Scorecard

AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

C-Rank Grade: A (Welcoming) - 65/100

External PR Merge Rate: 61%

Response Time: 1d

First Timer Success: 63%

Frequently Asked Questions

Is IBM/AssetOpsBench welcoming to first-time open-source contributors?

IBM/AssetOpsBench has a recorded first-timer success rate of 62.5%. 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 IBM/AssetOpsBench respond to incoming external pull requests in approximately 27.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.4 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 65.4 places IBM/AssetOpsBench in the A tier.

What is the external contributor pull request merge rate for IBM/AssetOpsBench?

The external contributor pull request merge rate for IBM/AssetOpsBench is 60.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in IBM/AssetOpsBench?

IBM/AssetOpsBench currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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IBM/AssetOpsBench

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AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
7.1/10
Patience Score
7.5/10
Nitpick Rate
37%

Balanced & professional review environment in IBM/AssetOpsBench. Maintains strict focus on technical quality and test standards.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
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
60.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
62.5%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
5 core
Small core review team
Diagnostic Health HUD
60.8%
Merge Gauge
62.5%
1st-Timer
Community Vibe53/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for IBM/AssetOpsBench
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/IBM/AssetOpsBench)](https://getmerged.abhishekco.de/IBM/AssetOpsBench?utm_source=github&utm_medium=badge)

Active Good First Issues (1)

View on GitHub

AssetOpsBench comes with MCP Server for Industrial AI. This issue is created to seek help from the community in providing a supporting document (preferably created manually) to assist first-time users or, say, our KDD tutorial participants. We are planning to release a series of Colab Notebook that are easy for any one to experience the MCP Tools for each server. We like to start with IoT. A notebook should assume we have setup a docker locally and uploaded a data as per as document. Now we are try to use MCP tools to explore all site, assets, some data, plot and etc. Ideally a single notebook shoould cover all the tools use MCPHub (workflow) to run tool Tool Universe. If you interested to take up the issue, please drop a note as comment.

📅 Opened Jul 15, 2026💬 6 comments
Quality: 80/100Contribute
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Contributor Community Vibe Feedback

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Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
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Contributor Compatibility & Review Speed Analysis for IBM/AssetOpsBench

When evaluating whether to contribute to IBM/AssetOpsBench, 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 IBM/AssetOpsBench acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 60.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to IBM/AssetOpsBench

01

Is IBM/AssetOpsBench welcoming to first-time open-source contributors?

IBM/AssetOpsBench has a recorded first-timer success rate of 62.5%. 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 65.4 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 65.4 places IBM/AssetOpsBench in the Welcoming tier.

04

What is the external contributor pull request merge rate for IBM/AssetOpsBench?

The external pull request merge rate is 60.8%. 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 IBM/AssetOpsBench?

Yes, IBM/AssetOpsBench currently has 1 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 IBM/AssetOpsBench 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.