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tinyclaw

本页为离线静态分析自动生成;分数为信号驱动启发式,请结合证据与人工复核使用。

项目概况

  • 名称: tinyclaw
  • 版本: 0.0.6
  • Git HEAD: 8d3803011ed7
  • 最近提交: 2026-02-23T22:48:12+08:00
  • 许可证: LICENSE
  • 语言: TypeScript(51), Markdown(30), Shell(19), JSON(9), Python(1), YAML(1)

README 摘要

Multi-agent, Multi-team, Multi-channel, 24/7 AI assistant Run multiple teams of AI agents that collaborate with each other simultaneously with isolated workspaces.

评分(0-10)

维度分数
代码质量2.5
可维护性5.5
健壮性1.0
可持续性6.0
可迁移性0.0
综合3.0

工程信号

CI / 测试

  • CI: 1 个 workflow
    • .github/workflows/release.yml
  • CI 操作系统: linux

代码质量工具

  • 类型检查: file:tsconfig.json

安全与治理

  • 治理: file:.github/PULL_REQUEST_TEMPLATE.md, file:CONTRIBUTING.md

架构与发布

  • 发布信号: ci-file:.github/workflows/release.yml, ci:release:.github/workflows/release.yml

技术栈与依赖

  • Node: name=tinyclaw type=None lockfile=package-lock.json
    • deps: @hono/node-server, @types/better-sqlite3, @types/node, @types/node-telegram-bot-api, @types/qrcode-terminal, @types/react, better-sqlite3, discord.js, dotenv, hono, ink, ink-gradient, ink-spinner, jsonrepair, node-telegram-bot-api, qrcode-terminal

评分依据(信号 → 证据)

代码质量

  • +2 CI: 1 workflow(s)
  • +1.5 typecheck: file:tsconfig.json
  • -1 risky code patterns present (review needed)

可维护性

  • +1 README present
  • +1 docs dirs: docs/
  • +1.5 governance: file:.github/PULL_REQUEST_TEMPLATE.md, file:CONTRIBUTING.md
  • +1 lockfile: package-lock.json
  • +1 CI present

健壮性

  • +1 config signals: dir:docs/
  • +1 CI present
  • -1 risky code patterns present (review needed)

可持续性

  • +1 license present
  • +1 version: 0.0.6
  • +1 release signals: ci-file:.github/workflows/release.yml, ci:release:.github/workflows/release.yml
  • +1 tags: 6 tag(s)
  • +2 recent commit (≤30d)

可迁移性

  • (无信号)

安全与风险信号(静态扫描)

高风险模式(需人工复核)

  • curl|bash (code) at scripts/remote-install.sh:3
  • 文档中的风险模式:6 条(curl|bash 等安装指引,通常为预期行为)

改进建议

  • 补齐最小测试集:smoke + 关键失败路径,并在 CI 中运行。
  • 在 CI 增加安全扫描(依赖审计/secret 扫描/静态分析等)并设为质量闸门。
  • 审计高风险执行路径(eval/exec/shell=True/curl|bash 等):最小权限、输入验证、隔离执行。

离线静态分析 · 信号驱动启发式评分 · 不使用外部平台指标