A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
C-Rank Grade: A (Welcoming) - 56/100
External PR Merge Rate: 70%
Response Time: 6d
First Timer Success: 88%
Tencent/AI-Infra-Guard has a recorded first-timer success rate of 87.5%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in Tencent/AI-Infra-Guard respond to incoming external pull requests in approximately 138.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
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 56.1 places Tencent/AI-Infra-Guard in the A tier.
The external contributor pull request merge rate for Tencent/AI-Infra-Guard is 70.4%, based on public PR activity from non-core contributors.
Tencent/AI-Infra-Guard does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.
Active Python repository in Tencent/AI-Infra-Guard with ongoing community development and issue triage.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/Tencent/AI-Infra-Guard?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
Calculating local time...
Calculating local time...
Detected: UTC
Maintainers are most responsive around 02:00 UTC (02:00 UTC in your timezone). Recommended submission window is Wednesday - Friday from 07:00 to 11:00 UTC (07:00 - 11:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~90 hours (88% approval). Large PRs (>500 lines) take ~663 hours (32% approval). Keep your diff compact for rapid review.
运行大模型安全评估越狱方法的时候有时候方法和数据集很多，样本大时间长如果出现中断便无法恢复。希望下一个版本推出断电续跑和日志即时写入功能。 以下修改后可以支持即时写入日志，每5个样本写入一次日志，该修改暂未实现断点续跑。 在AIG-PromptSecurity/deepteam/red_teamer/red_teamer.py文件中 0、头部文件导入 import json import os 1、找到red_teaming_test_cases = []后面添加： result_buffer = [] def record_case(case): red_teaming_test_cases.append(case) result_buffer.append( case.model_dump(mode="json", by_alias=True) ) if len(result_buffer) >= 5: with open("logs/red_team_progress.jsonl", "a", encoding="utf-8") as f: for result in result_buffer: f.write(json.dumps(result, ensure_ascii=False) + "\n") f.flush() os.fsync(f.fileno()) result_buffer.clear() 2、找到所有的red_teaming_te
Rate what actually matters after opening a pull request here.
Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.
When evaluating whether to contribute to Tencent/AI-Infra-Guard, 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 Tencent/AI-Infra-Guard acknowledge new external contributions in approximately 5 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 70.4% were successfully merged into the primary branch.
Tencent/AI-Infra-Guard has a recorded first-timer success rate of 87.5%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~5 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
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 56.1 places Tencent/AI-Infra-Guard in the Welcoming tier.
The external pull request merge rate is 70.4%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Tencent/AI-Infra-Guard does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.
All metrics displayed for Tencent/AI-Infra-Guard 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.