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SKILL verified MIT Self-run

Community Analyzer

skill-allenli178-yuyan-skills-community-analyzer · by allenli178

社区活跃度分析Skill，分析技术项目的社区活跃度，包括issue响应速度、PR合并率、核心维护者情况等，量化社区健康度。

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Install

$ agentstack add skill-allenli178-yuyan-skills-community-analyzer

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

社区活跃度分析Skill

1. Goal (目标)

分析技术项目的社区活跃度，包括issue响应速度、PR合并率、核心维护者情况等，量化社区健康度，为技术选型评估提供社区支持数据。

2. Input Format (输入格式)

{
  "project_url": "[项目URL]"
}

3. Output Format (输出格式)

  • 社区健康度分析结果：
  • issue响应速度：平均响应时间
  • PR合并率：已合并PR占总PR的比例
  • 核心维护者数量：活跃的核心维护者数量
  • commit趋势：近期commit频率变化
  • 社区健康度评分：综合评分
  • 风险提示：如核心维护者离开、commit骤降等

4. Workflow (工作流)

  1. 运行 analyze_activity.py 分析GitHub仓库的社区活动数据
  2. 计算issue响应速度和PR合并率
  3. 分析核心维护者情况
  4. 评估commit趋势
  5. 生成社区健康度评分和风险提示
  6. 输出分析结果

5. Output Template (输出模板)

{
  "issue_response_time": "[响应时间]",
  "pr_merge_rate": [PR合并率],
  "core_maintainers": [核心维护者数量],
  "commit_trend": "[commit趋势]",
  "community_health_score": [社区健康度评分],
  "risk_alert": "[风险提示]"
}

6. Self-Correction (自我纠错)

  • 验证GitHub API调用是否成功
  • 检查返回的社区活动数据是否完整
  • 确保分析结果的准确性
  • 验证风险提示是否合理

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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