公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-27 03:13 UTC

evanjd / python-ring-doorbell

Python Ring Door Bell is a library written in Python 2.7/3x that exposes the Ring.com devices as Python objects.

Python自定义许可证★ 0 星标⑂ 0 复刻始于 2018年10月复刻在 GitHub 上查看 ↗

evanjd/python-ring-doorbell 的健康指数为 100 分中的 25 分,处于「危急」区间。 其得分最高的类别是AI Readiness(44/100),最低的是Community & Adoption(9/100)。 最近一次更新在 2828 天前。 近期的大部分工作由 1 位贡献者完成。

25
总分 / 100
危急

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 49(有风险)的上限。AI 就绪度不计入总体分。

25
优秀85-100堪称典范;基本满足所有检验标准
良好70-84健康;仅有轻微不足
中等50-69可接受,但存在明显不足;建议进行审查
存在风险30-49存在重大薄弱环节;采用时应保持审慎
危急1-29问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

所有权

Evan Bruhn个人账户
11 关注者22 个公开仓库始于 2013年4月

该仓库由个人账户拥有。相较于组织支持的项目,单一所有者项目的延续性风险更高。

软件包生态系统

注册表软件包版本月下载量版本数最近发布标签
PyPIring_doorbell指向其他仓库——不计分0.9.1472,66165148 天前cameradoor-bellhome-automationring

按类别列示的指标

活力

项目是否仍有生命——是否仍在编写代码,是否仍在发布版本?

17危急 · 占总体的 22%
评分方式
0/36推送新近度 — 最近一次推送于 2,828 天前
0/36提交节奏 — 52 周中有 0 周有提交
0/18提交量 — 最近一年 0 次提交
0/10OpenSSF Scorecard:Maintained — 无数据
所用输入
commits_last_year0
human_commit_share1
days_since_last_push2,828
active_weeks_last_year0

发布纪律

40存在风险
评分方式
16.2/27有发布版本 — 16 个版本标签(无 GitHub 发布版本)
0/36发布时效 — 最近一次发布版本于 2,963 天前
19.8/27发布节奏 — 约每 50.3 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count16
latest_release_tag0.2.1
releases_from_tags
days_since_latest_release2,963
mean_days_between_releases50.3

社区与采用

项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?

9危急 · 占总体的 18%
评分方式
0/60星标 — 0 个星标
0/25复刻 — 0 个复刻
0/15关注者 — 0 位关注者
所用输入
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

19危急
评分方式
0/22.5README
16.9/22.5许可证 — 存在许可证文件,但不是可识别的许可证
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?

35存在风险 · 占总体的 24%
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
0.9/22.5提交分布 — 头号贡献者编写了 96% 的提交
9.5/13.5贡献者广度 — 7 位贡献者
0/10OpenSSF Scorecard:Contributors — 无数据
所用输入
bus_factor1
contributors_sampled7
top_contributor_share0.959
评分方式
10/30所有权背书 — 个人(用户)账户
0/20已验证域名 — 不适用于个人账户
7.8/25所有者影响力 — evanjd 有 11 位关注者
21.9/25既往记录 — 22 个公开仓库,账户约 13 年
所用输入
followers11
owner_typeUser
is_verified
owner_loginevanjd
public_repos22
account_age_days4,861
已排除计分(无数据或不适用):已验证域名。 其余权重已重新归一化。

工程质量

基础的工程与文档实践是否到位?

40存在风险 · 占总体的 20%

工程实践

50中等
评分方式
0/24CI 工作流
24/24存在测试
16/16Linter 配置 — tox.ini
0/9.6Pre-commit 钩子
0/6.4.editorconfig
0/20OpenSSF Scorecard:CI-Tests — 无数据
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

25危急
评分方式
0/30README
25/25文档目录
0/15文档 / 主页站点
0/10仓库描述
0/10主题标签
0/10Wiki
所用输入
topics
has_wiki
homepage
has_readme
has_docs_dir
has_description

安全

可见的安全与供应链实践是否稳固,且不存在未解决的高风险司法辖区暴露?

21危急 · 占总体的 16%
评分方式
0/30安全策略(SECURITY.md)
0/25Dependabot 配置
0/25依赖锁定文件
0/20CodeQL 工作流
所用输入
sourcefile_signals
lockfiles
manifestsrequirements.txt, requirements_tests.txt, setup.cfg, setup.py
has_codeql_workflow
has_security_policy
has_dependabot_config
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages22
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:ring_doorbell@0.9.14 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 22 个软件包。 未对可达性进行分析。

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件?这是一枚独立的实验性徽章——权重为 0.0,因此单独呈现,不影响总体健康评分。

44存在风险 · 占总体的 0%
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档(llms.txt)
22.4/40可读的提交历史 — 100 次人类提交中有 42 次说明了意图(结构化标题或解释性正文)
所用输入
has_llms_txt
legible_history_share0.42
agent_instruction_files
agent_instruction_max_bytes
评分方式
18/18一条命令的引导启动 — docs/Makefile
22/22自动化测试
11/11Lint / 格式化配置 — tox.ini
0/11静态类型检查
0/10可复现环境
0/10已体现的代理实践 — 最近 100 次提交中没有代理编写的提交
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — 无数据
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_filesdocs/Makefile
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
55/55可控的文件大小 — 采样的 15 个源文件中有 0 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes11,483
source_files_sampled15
oversized_source_files0

关键数据

0GitHub 星标
7贡献者
0最近 12 个月提交数
2,828距最近推送天数
16发布版本数
1巴士系数(bus factor)
0开放议题
PyPI软件包生态系统数

数据采集警告

  • Community profile unavailable
  • pypi package 'ring_doorbell' points at a different repository (https://github.com/python-ring-doorbell/python-ring-doorbell); excluded from ecosystem scoring
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

更多细节

全部依赖 未采集

本报告未能采集到解析后的依赖集合:GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

依赖安全公告 0

安装 pypi:ring_doorbell@0.9.14 会引入 22 个包(直接与传递):其中 0 个存在已知公告,0 个为直接依赖。

没有已知公告影响已评估的依赖。

公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析,且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。

原始 JSON 报告 机器可读
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            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 5
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 44,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 22,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.42,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "42 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 22.4,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 42,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 57,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": "tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tox.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 11483,
              "source_files_sampled": 15,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/15 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 15,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Community profile unavailable",
    "pypi package 'ring_doorbell' points at a different repository (https://github.com/python-ring-doorbell/python-ring-doorbell); excluded from ecosystem scoring",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T03:13:52.796885Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/e/evanjd/python-ring-doorbell.svg",
  "full_name": "evanjd/python-ring-doorbell",
  "license_state": "custom",
  "license_spdx": null
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.27.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.