公开记录
软件健康报告模式 0.15.0 · 指标 1.13.0 · 2026-07-19 13:41 UTC

google-deepmind / formal-conjectures

A collection of formalized statements of conjectures in Lean.

LeanApache-2.0★ 1,053 星标⑂ 349 复刻始于 2025年5月在 GitHub 上查看 ↗

google-deepmind/formal-conjectures 的健康指数为 100 分中的 72 分,处于「良好」区间。 其得分最高的类别是Vitality(94/100),最低的是AI Readiness(43/100)。 最近一次更新在 2 天前。 近期的大部分工作由 3 位贡献者完成。

72
总分 / 100
良好

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。

72
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

25,599 关注者397 个公开仓库始于 2014年8月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

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?

94优秀 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 2 天前
36/36提交节奏 — 52 周中有 52 周有提交
18/18提交量 — 最近一年 1,321 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year1,321
human_commit_share
days_since_last_push2
active_weeks_last_year52

发布纪律

84良好
评分方式
27/27有发布版本 — 已发布 1 个发布版本
36/36发布时效 — 最近一次发布版本于 74 天前
12.6/27发布节奏 — 节奏未知(仅一次发布)
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count1
latest_release_tagbench-v1-lean4.27.0
releases_from_tags
days_since_latest_release74
mean_days_between_releases
已排除计分(无数据或不适用):OpenSSF Scorecard:Signed-Releases。 其余权重已重新归一化。

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?

74良好 · 占总体的 18%
评分方式
49/60星标 — 1,053 个星标
21.2/25复刻 — 349 个复刻
6.7/15关注者 — 17 位关注者
所用输入
forks349
stars1,053
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

70良好
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(Apache-2.0)
18/18CONTRIBUTING 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?

73良好 · 占总体的 24%
评分方式
36/54巴士系数 — 3 位贡献者贡献了半数提交
17.2/22.5提交分布 — 头号贡献者编写了 24% 的提交
13.5/13.5贡献者广度 — 100 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 25 contributing companies or organizations
所用输入
bus_factor3
contributors_sampled100
top_contributor_share0.235
评分方式
26/46.8议题解决 — 56% 的议题已关闭
21.3/38.3PR 接受 — 已裁定的 PR 中 1,491/2,672 已合并
15/15OpenSSF Scorecard:Code-Review — all changesets reviewed
所用输入
merged_prs1,491
open_issues694
closed_issues868
issue_closed_ratio0.556
closed_unmerged_prs1,181
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
25/25所有者影响力 — google-deepmind 有 25,599 位关注者
25/25既往记录 — 397 个公开仓库,账户约 11 年
所用输入
followers25,599
owner_typeOrganization
is_verified
owner_logingoogle-deepmind
public_repos397
account_age_days4,341

工程质量

基础的工程与文档实践是否到位?

52中等 · 占总体的 20%

工程实践

44存在风险
评分方式
24/24CI 工作流 — 8 个工作流
0/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

65中等
评分方式
30/30README
0/25文档目录
15/15文档 / 主页站点 — https://google-deepmind.github.io/formal-conjectures/
10/10仓库描述
10/10主题标签 — 2 个主题标签
0/10Wiki
所用输入
topicsformal-mathematics, lean4
has_wiki
homepagehttps://google-deepmind.github.io/formal-conjectures/
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?

64中等 · 占总体的 16%

安全态势

64中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 25 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — 无数据
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.4
已排除计分(无数据或不适用):packaging, signed_releases。 其余权重已重新归一化。

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。

43存在风险 · 占总体的 0%
评分方式
45/45代理指令 — AGENTS.md
0/15机器可读文档(llms.txt)
0/40可读的提交历史 — 无数据
所用输入
has_llms_txt
legible_history_share
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes20,920
已排除计分(无数据或不适用):可读的提交历史。 其余权重已重新归一化。
评分方式
0/18一条命令的引导启动
0/22自动化测试
0/11Lint / 格式化配置
0/11静态类型检查
10/10可复现环境 — devcontainer, lockfile
0/10已体现的代理实践 — 无数据
0/8自动化维护 — 无数据
2/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
所用输入
has_nix
has_tests
lockfilespackage-lock.json
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
已排除计分(无数据或不适用):已体现的代理实践, 自动化维护。 其余权重已重新归一化。
评分方式
0/45可类型检查的代码 — Lean,未配置类型检查
55/55可控的文件大小 — 采样的 13 个源文件中有 0 个超过 60KB
所用输入
primary_languageLean
largest_source_bytes28,333
source_files_sampled13
oversized_source_files0

关键数据

1,053GitHub 星标
100贡献者
1,321最近 12 个月提交数
2距最近推送天数
1发布版本数
3巴士系数(bus factor)
694开放议题
npm软件包生态系统数

数据采集警告

  • Could not fetch npm package 'formal-conjectures-website' from its registry

更多细节

OpenSSF Scorecard 6.4 / 10
6.4综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。Scorecard v5.5.0 · 2026-07-19 13:41 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 25 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
不适用Packagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
全部依赖 89

来自 GitHub 依赖图的完整解析依赖集合:0 个直接依赖与 89 个间接(传递)软件包。仓库提交锁文件时,传递闭包才是完整的。

注册表软件包版本关系
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npm@cloudflare/workerd-linux-641.20260617.1间接
npm@cloudflare/workerd-linux-arm641.20260617.1间接
npm@cloudflare/workerd-windows-641.20260617.1间接
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npm@img/sharp-libvips-linux-arm1.2.4间接
npm@img/sharp-libvips-linux-arm641.2.4间接
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npm@img/sharp-libvips-linux-s390x1.2.4间接
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npm@img/sharp-linux-arm0.34.5间接
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npm@img/sharp-wasm320.34.5间接
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npmblake3-wasm2.1.5间接
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npmdetect-libc2.1.2间接
npmerror-stack-parser-es1.0.5间接
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npmfsevents2.3.3间接
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npmtslib2.8.1间接
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npmwrangler4.103.0间接
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原始 JSON 报告 机器可读
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      "pushed_at": "2026-07-16T23:28:28Z",
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      "updated_at": "2026-07-19T10:45:35Z",
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                "key": "owner_reach",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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              {
                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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                "status": "met",
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                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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              },
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                "code": "weights_renormalized",
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            "value": 75,
            "inputs": {
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              "agent_instruction_max_bytes": 20920
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
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                "points": 45,
                "status": "met",
                "details": [
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                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "critical",
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            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
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              "dependency_bot_commit_share": null
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
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                "points": 0,
                "status": "missed",
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              },
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "static_type_checking",
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                "points": 0,
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              {
                "key": "reproducible_environment",
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              },
              {
                "key": "demonstrated_agent_practice",
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              },
              {
                "key": "automated_maintenance",
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              },
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                "details": [],
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            ]
          },
          {
            "key": "ai_code_legibility",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "source_files_sampled": 13,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
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                "detail": "Lean without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
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                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/13 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
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                "max_points": 55
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            ]
          }
        ],
        "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": [
    "Could not fetch npm package 'formal-conjectures-website' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-19T13:41:51.202143Z",
  "schema_version": "0.15.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/google-deepmind/formal-conjectures.svg",
  "full_name": "google-deepmind/formal-conjectures",
  "license_state": "standard",
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}

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 v0.15.0—— 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.