[FEA] Introducing scorecard for repo basic information auto collector

[edwinjhlee]

Collect information from github

1. star
2. last-commit
3. last-release
4. release number
5. contributor number
6. pr number
7. issue number
8. lang and line count
9. download size, disk usage （ docker linux ）
10. memory consumsion
11. cpu requirement ( high, low, ... )
12. process number and information
13. use network ?
14. config , data file -- cleanup
15. 支持系统

[Zhengqbbb]

卡片的最终类型：InstallCardMeta

export interface InstallCardGithub {
    stars?: number
    lastCommit?: string
    lastRelease?: string
    releases?: number
    contributors?: number
    pullRequests?: number
    issues?: number
}

export interface InstallCardRuntime {
    downloadSize?: string
    diskUsage?: string
    /** MB */
    memory?: { idle?: number, typical?: number, peak?: number }
    cpu?: string
    architectures?: string[]
    processes?: number
    processInfo?: string
    network?: boolean
}

export interface InstallCardFiles {
    config?: string[]
    data?: string[]
    cache?: string[]
    cleanupRequired?: boolean
    safeToRemove?: boolean
}

/** 0 - 100 */
export interface InstallCardRadar {
    performance?: number
    easeOfUse?: number
    features?: number
    portability?: number
    reliability?: number
}

export interface InstallCardMeta {
    version?: string
    tagline?: string
    /** 0 - 5 */
    rating?: number
    tags?: string[]
    github?: InstallCardGithub
    /** language name -> lines */
    languages?: Record<string, number>
    totalLines?: number
    runtime?: InstallCardRuntime
    files?: InstallCardFiles
    platforms?: string[]
    demo?: { cmd?: string, output?: string }
    radar?: InstallCardRadar
}

e.g: jq

{
  "version": "1.7.1",
  "tagline": "Lightweight & Flexible JSON Processor",
  "rating": 5,
  "tags": [
    "Fast",
    "Portable",
    "Zero Dependency",
    "JSON"
  ],
  "github": {
    "stars": 30000,
    "lastCommit": "2026-08-20",
    "lastRelease": "2025-11-01",
    "releases": 32,
    "contributors": 180,
    "pullRequests": 1200,
    "issues": 800
  },
  "languages": {
    "C": 42000,
    "Shell": 3500,
    "Makefile": 1200
  },
  "totalLines": 46700,
  "runtime": {
    "downloadSize": "2.1 MB",
    "diskUsage": "6.8 MB",
    "memory": {
      "idle": 3,
      "typical": 8,
      "peak": 20
    },
    "cpu": "Low",
    "architectures": [
      "amd64",
      "arm64",
      "armv7"
    ],
    "processes": 1,
    "processInfo": "jq (single process)",
    "network": false
  },
  "files": {
    "config": [],
    "data": [],
    "cache": [],
    "cleanupRequired": false
  },
  "platforms": [
    "Linux",
    "macOS",
    "Windows",
    "FreeBSD",
    "OpenBSD",
    "NetBSD"
  ],
  "demo": {
    "cmd": "jq '.foo.bar' input.json",
    "output": "\"value\""
  },
  "radar": {
    "performance": 92,
    "easeOfUse": 78,
    "features": 88,
    "portability": 96,
    "reliability": 90
  }
}

[edwinjhlee]

我应该确定测试系统采用 linux 。 而不是 mac ，或者 windows ， 因为 linux 是 ai 的操作系统。