公开记录
软件健康报告模式 0.15.0 · 指标 1.13.0 · 2026-07-20 06:09 UTC

aboutcode-org / vulnerablecode

A free and open vulnerabilities database and the packages they impact. And the tools to aggregate and correlate these vulnerabilities. Sponsored by NLnet https://nlnet.nl/project/vulnerabilitydatabase/ for https://www.aboutcode.org/ Chat at https://gitter.im/aboutcode-org/vulnerablecode Docs at https://vulnerablecode.readthedocs.org/

Python · HTMLApache-2.0★ 693 星标⑂ 317 复刻始于 2017年5月在 GitHub 上查看 ↗
#cve#security#security-tools#vulnerability-detection#vulnerability#vulnerability-databases#vulnerability-database#vulnerability-scanners#vulnerability-identification#vulndb#ossindex#snyk#nvd#cpe#cvss#osv#package-url#purl

aboutcode-org/vulnerablecode 的健康指数为 100 分中的 73 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（41/100）。 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。

73
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。

73
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

AboutCode组织
257 关注者148 个公开仓库始于 2021年11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。

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
PyPIvulnerablecode指向其他仓库——不计分40.0.11,4415212 天前open-sourcevulnerabilitysecuritycvepurlpackageurldependencypackagevulnerability-dbsbomsca

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%

开发活跃度

96优秀
评分方式
36/36推送新近度 — 最近一次推送于 2 天前
31.8/36提交节奏 — 52 周中有 46 周有提交
18/18提交量 — 最近一年 620 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year620
human_commit_share—
days_since_last_push2
active_weeks_last_year46

发布纪律

90优秀
评分方式
27/27有发布版本 — 已发布 62 个发布版本
36/36发布时效 — 最近一次发布版本于 12 天前
27/27发布节奏 — 约每 10.7 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — Project has not signed or included provenance with any releases.
所用输入
releases_count62
latest_release_tagv40.0.1
releases_from_tags否
days_since_latest_release12
mean_days_between_releases10.7

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？

63中等 · 占总体的 18%

流行度与采用

74良好
评分方式
46.1/60星标 — 693 个星标
20.8/25复刻 — 317 个复刻
7.2/15关注者 — 21 位关注者
所用输入
forks317
stars693
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

50中等
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）
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是
has_license是
has_contributing否
has_issue_template否
has_code_of_conduct否
has_pull_request_template否

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？

67中等 · 占总体的 24%

维护者韧性（巴士系数）

77良好
评分方式
36/54巴士系数 — 3 位贡献者贡献了半数提交
17.6/22.5提交分布 — 头号贡献者编写了 22% 的提交
13.5/13.5贡献者广度 — 50 位贡献者
10/10OpenSSF Scorecard：Contributors — project has 26 contributing companies or organizations
所用输入
bus_factor3
contributors_sampled50
top_contributor_share0.219

议题与 PR 响应能力

52中等
评分方式
22/46.8议题解决 — 47% 的议题已关闭
30.1/38.3PR 接受 — 已裁定的 PR 中 737/935 已合并
0/15OpenSSF Scorecard：Code-Review — Found 0/8 approved changesets -- score normalized to 0
所用输入
merged_prs737
open_issues697
closed_issues619
issue_closed_ratio0.47
closed_unmerged_prs198

所有权与托管责任

70良好
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
17.3/25所有者影响力 — aboutcode-org 有 257 位关注者
22.3/25既往记录 — 148 个公开仓库，账户约 4 年
所用输入
followers257
owner_typeOrganization
is_verified—
owner_loginaboutcode-org
public_repos148
account_age_days1,698

工程质量

基础的工程与文档实践是否到位？

81良好 · 占总体的 20%

工程实践

68中等
评分方式
24/24CI 工作流 — 6 个工作流
24/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci是
has_tests是
has_editorconfig否
has_linter_config否
has_precommit_config否

文档

100优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://public.vulnerablecode.io
10/10仓库描述
10/10主题标签 — 18 个主题标签
10/10Wiki
所用输入
topicscve, security, security-tools, vulnerability-detection, vulnerability, vulnerability-databases, vulnerability-database, vulnerability-scanners, vulnerability-identification, vulndb, ossindex, snyk, nvd, cpe, cvss, osv, package-url, purl
has_wiki是
homepagehttps://public.vulnerablecode.io
has_readme是
has_docs_dir是
has_description是

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？

54中等 · 占总体的 16%

安全态势

54中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 8 out of 8 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
0/7.5Code-Review — Found 0/8 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 26 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
2.2/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 45 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.4
已排除计分（无数据或不适用）：branch_protection。 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。

41存在风险 · 占总体的 0%

AI 代理上下文与指引

1危急
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）
0/40可读的提交历史 — 无数据
所用输入
has_llms_txt否
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
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。

验证循环（构建 / 测试 / 类型检查）

67中等
评分方式
18/18一条命令的引导启动 — Makefile, docs/Makefile
22/22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 — Dockerfile, Nix
0/10已体现的代理实践 — 无数据
0/8自动化维护 — 无数据
5/10OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
所用输入
has_nix是
has_tests是
lockfiles—
has_dockerfile是
typed_language否
bootstrap_filesMakefile, docs/Makefile
has_devcontainer否
has_linter_config否
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。

面向模型的代码可读性

55中等
评分方式
0/45可类型检查的代码 — Python，未配置类型检查
54.6/55可控的文件大小 — 采样的 496 个源文件中有 4 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes133,121
source_files_sampled496
oversized_source_files4

机器可读接口

40存在风险
评分方式
0/40API 模式（OpenAPI/GraphQL/proto）
0/20MCP 服务器
40/40可运行示例 — example
所用输入
example_dirsexample
has_mcp_signal否
api_schema_files—

关键数据

693GitHub 星标
50贡献者
620最近 12 个月提交数
2距最近推送天数
62发布版本数
3巴士系数（bus factor）
697开放议题
PyPI软件包生态系统数

数据采集警告

  • pypi package 'vulnerablecode' points at a different repository (https://github.com/nexB/vulnerablecode); excluded from ecosystem scoring

更多细节

OpenSSF Scorecard 5.4 / 10
5.4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 · 2026-07-20 06:09 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/8 approved changesets -- score normalized to 0
10Contributorsproject has 26 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities45 existing vulnerabilities detected
直接依赖 37
注册表软件包版本约束清单文件
PyPIDjango==5.2.11setup.cfg
PyPIpsycopg2-binary==2.9.11setup.cfg
PyPIdjangorestframework==3.15.2setup.cfg
PyPIdjango-extensions==3.2.3setup.cfg
PyPIdjango-filter==24.3setup.cfg
PyPIdjango-widget-tweaks==1.5.0setup.cfg
PyPIdjango-crispy-forms==2.3setup.cfg
PyPIcrispy-bootstrap4==2024.1setup.cfg
PyPIdjango-environ==0.11.2setup.cfg
PyPIgunicorn==23.0.0setup.cfg
PyPIdjango-altcha==0.2.0setup.cfg
PyPIdrf-spectacular==0.24.2setup.cfg
PyPIpackageurl-python==0.17.6setup.cfg
PyPIunivers==32.0.1setup.cfg
PyPIlicense-expression==30.3.1setup.cfg
PyPIbinaryornot==0.4.4setup.cfg
PyPIsaneyaml==0.6.1setup.cfg
PyPIbeautifulsoup4==4.13.0setup.cfg
PyPIpython-dateutil==2.8.2setup.cfg
PyPItoml==0.10.2setup.cfg
PyPIlxml==6.0.2setup.cfg
PyPIdefusedxml==0.7.1setup.cfg
PyPIMarkdown==3.5.0setup.cfg
PyPIdateparser==1.3.0setup.cfg
PyPIcvss==3.6setup.cfg
PyPIcwe2==3.0.0setup.cfg
PyPIGitPython==3.1.41setup.cfg
PyPIrequests==2.33.1setup.cfg
PyPIfetchcode==0.8.2setup.cfg
PyPIaboutcode.pipeline==0.1.0setup.cfg
PyPIdjango-rq==2.10.1setup.cfg
PyPIrq-scheduler==0.13.1setup.cfg
PyPIextractcode==31.0.0setup.cfg
PyPIpython-dotenv==0.20.0setup.cfg
PyPItexttable==1.6.4setup.cfg
PyPIuritemplate==4.2.0setup.cfg
PyPIaboutcode.federated==1.0.3setup.cfg
全部依赖 169

来自 GitHub 依赖图的完整解析依赖集合：38 个直接依赖与 131 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
PyPIaboutcode-federated1.0.3直接
PyPIaboutcode-pipeline0.1.0直接
PyPIbeautifulsoup44.13.0直接
PyPIbinaryornot0.4.4直接
PyPIcrispy-bootstrap42024.1直接
PyPIcvss3.6直接
PyPIcwe23.0.0直接
PyPIdateparser1.3.0直接
PyPIdefusedxml0.7.1直接
PyPIdjango5.2.11直接
PyPIdjango-altcha0.2.0直接
PyPIdjango-crispy-forms2.3直接
PyPIdjango-environ0.11.2直接
PyPIdjango-extensions3.2.3直接
PyPIdjango-filter24.3直接
PyPIdjango-rq2.10.1直接
PyPIdjango-widget-tweaks1.5.0直接
PyPIdjangorestframework3.15.2直接
PyPIdrf-spectacular0.24.2直接
PyPIextractcode31.0.0直接
PyPIfetchcode0.8.2直接
PyPIgitpython3.1.41直接
PyPIgunicorn23.0.0直接
PyPIlicense-expression30.3.1直接
PyPIlxml6.0.2直接
PyPImarkdown3.5直接
PyPImarkdown3.5.0直接
PyPIpackageurl-python0.17.6直接
PyPIpsycopg2-binary2.9.11直接
PyPIpython-dateutil2.8.2直接
PyPIpython-dotenv0.20.0直接
PyPIrequests2.33.1直接
PyPIrq-scheduler0.13.1直接
PyPIsaneyaml0.6.1直接
PyPItexttable1.6.4直接
PyPItoml0.10.2直接
PyPIunivers32.0.1直接
PyPIuritemplate4.2.0直接
PyPIalabaster0.7.16间接
PyPIaltcha1.0.0间接
PyPIanyio4.6.2.post1间接
PyPIasgiref3.8.1间接
PyPIasttokens3.0.1间接
PyPIattrs23.2.0间接
PyPIbabel2.18.0间接
PyPIbackcall0.2.0间接
PyPIblack24.3.0间接
PyPIboolean-py4.0间接
PyPIcertifi2024.7.4间接
PyPIcffi2.0.0间接
PyPIchardet4.0.0间接
PyPIcharset-normalizer2.0.12间接
PyPIclick8.3.0间接
PyPIcolorama0.4.6间接
PyPIcommoncode32.4.2间接
PyPIcrontab1.0.5间接
PyPIcryptography46.0.5间接
PyPIdecorator5.2.1间接
PyPIdjango-debug-toolbar6.2.0间接
PyPIdoc8—间接
PyPIdoc80.11.1间接
PyPIdocutils0.17.1间接
PyPIdrf-spectacular-sidecar2022.10.1间接
PyPIexecuting2.2.1间接
PyPIextractcode-7z16.5.210531间接
PyPIextractcode-libarchive3.5.1.210531间接
PyPIflot0.7.3间接
PyPIfreezegun1.2.1间接
PyPIfusepy3.0.1间接
PyPIgitdb4.0.9间接
PyPIh110.16.0间接
PyPIhtml5lib1.1间接
PyPIhtmllistparse0.6.1间接
PyPIid1.5.0间接
PyPIidna3.7间接
PyPIimagesize2.0.0间接
PyPIimportlib-resources6.5.2间接
PyPIinflection0.5.1间接
PyPIiniconfig2.3.0间接
PyPIipython8.10.0间接
PyPIisort5.10.1间接
PyPIjaraco-classes3.4.0间接
PyPIjaraco-context6.1.2间接
PyPIjaraco-functools4.4.0间接
PyPIjedi0.19.2间接
PyPIjeepney0.9.0间接
PyPIjinja23.1.6间接
PyPIjsonschema4.21.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPIkeyring25.7.0间接
PyPImarkdown-it-py4.0.0间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib-inline0.2.1间接
PyPImdurl0.1.2间接
PyPImore-itertools10.8.0间接
PyPImypy-extensions1.1.0间接
PyPInh30.3.4间接
PyPIpackaging24.0间接
PyPIparso0.8.6间接
PyPIpathspec1.0.4间接
PyPIpdfminer-six20260107间接
PyPIpexpect4.9.0间接
PyPIpickleshare0.7.5间接
PyPIplatformdirs4.9.4间接
PyPIpluggy1.0.0间接
PyPIplugincode32.0.0间接
PyPIpprintpp0.4.0间接
PyPIprompt-toolkit3.0.52间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpy1.11.0间接
PyPIpycodestyle2.8.0间接
PyPIpycparser2.21间接
PyPIpygments2.19.2间接
PyPIpyinstrument5.1.2间接
PyPIpytest7.1.1间接
PyPIpytest-django4.5.2间接
PyPIpytz2024.2间接
PyPIpyyaml6.0.1间接
PyPIreadme-renderer43.0间接
PyPIredis6.2.0间接
PyPIreferencing0.36.0间接
PyPIregex2026.2.28间接
PyPIrequests-toolbelt1.0.0间接
PyPIrestructuredtext-lint2.0.2间接
PyPIrfc39862.0.0间接
PyPIrich14.3.3间接
PyPIrpds-py0.30.0间接
PyPIrq1.15.1间接
PyPIsecretstorage3.5.0间接
PyPIsemantic-version2.9.0间接
PyPIsemver3.0.4间接
PyPIsetuptools82.0.1间接
PyPIsix1.16.0间接
PyPIsmmap5.0.0间接
PyPIsniffio1.3.1间接
PyPIsnowballstemmer3.0.1间接
PyPIsoupsieve2.3.2间接
PyPIsphinx—间接
PyPIsphinx5.0.0间接
PyPIsphinx-autobuild2024.10.3间接
PyPIsphinx-rtd-theme—间接
PyPIsphinx-rtd-theme1.0.0间接
PyPIsphinxcontrib-applehelp2.0.0间接
PyPIsphinxcontrib-devhelp2.0.0间接
PyPIsphinxcontrib-django21.5间接
PyPIsphinxcontrib-htmlhelp2.1.0间接
PyPIsphinxcontrib-jsmath1.0.1间接
PyPIsphinxcontrib-qthelp2.0.0间接
PyPIsphinxcontrib-serializinghtml2.0.0间接
PyPIsqlparse0.5.4间接
PyPIstack-data0.6.3间接
PyPIstarlette0.49.1间接
PyPIstevedore5.7.0间接
PyPItext-unidecode1.3间接
PyPItomli2.4.0间接
PyPItraitlets5.14.3间接
PyPItwine6.2.0间接
PyPItypecode30.2.0间接
PyPItypecode-libmagic5.39.210531间接
PyPItyping-extensions4.13.0间接
PyPItzlocal5.3.1间接
PyPIurllib32.6.3间接
PyPIuvicorn0.42.0间接
PyPIwatchfiles1.1.1间接
PyPIwcwidth0.6.0间接
PyPIwebencodings0.5.1间接
PyPIwebsockets16.0间接
PyPIwheel0.46.3间接
原始 JSON 报告 机器可读
{
  "data": {
    "repo": {
      "topics": [
        "cve",
        "security",
        "security-tools",
        "vulnerability-detection",
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        "key": "governance",
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        "name": "Sustainability & Governance",
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                "key": "pr_acceptance",
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        ],
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                "key": "fuzzing",
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              {
                "key": "maintained",
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                "key": "sast",
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                "key": "signed_releases",
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
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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": 10
            },
            "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": 41,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 67,
            "inputs": {
              "has_nix": true,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, 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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "Dockerfile, Nix",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, Nix"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 5",
                "points": 5,
                "status": "partial",
                "details": [],
                "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": 133121,
              "source_files_sampled": 496,
              "oversized_source_files": 4
            },
            "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": "4/496 source files over 60KB",
                "points": 54.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 496,
                      "oversized": 4
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "example"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "example",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "example"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": [
    "pypi package 'vulnerablecode' points at a different repository (https://github.com/nexB/vulnerablecode); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-20T06:09:45.893242Z",
  "schema_version": "0.15.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/aboutcode-org/vulnerablecode.svg",
  "full_name": "aboutcode-org/vulnerablecode",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

相关记录

与 aboutcode-org/vulnerablecode 共享目录标签或生态系统的已检测仓库。 并排阅读 →

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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 — PyPI.