公开记录
软件健康报告模式 0.15.0 · 指标 1.13.0 · 2026-07-19 15:07 UTC

manhhailua / lorekeep

Lorekeep — temporal knowledge graph for AI agents via MCP

PythonMIT★ 3 星标⑂ 0 复刻始于 2026年6月在 GitHub 上查看 ↗

manhhailua/lorekeep 的健康指数为 100 分中的 62 分，处于「中等」区间。 其得分最高的类别是Engineering Quality（82/100），最低的是Community & Adoption（26/100）。 最近一次更新在今天。 近期的大部分工作由 1 位贡献者完成。

62
总分 / 100
中等

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。

62
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

Mạnh Phạm个人账户
41 关注者63 个公开仓库始于 2013年3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
PyPIlorekeep0.12.1-370 天前

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？

75良好 · 占总体的 22%

开发活跃度

58中等
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
3.5/36提交节奏 — 52 周中有 5 周有提交
18/18提交量 — 最近一年 195 次提交
0/10OpenSSF Scorecard：Maintained — project was created within the last 90 days. Please review its contents carefully
所用输入
commits_last_year195
human_commit_share—
days_since_last_push0
active_weeks_last_year5

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 41 个发布版本
36/36发布时效 — 最近一次发布版本于 0 天前
27/27发布节奏 — 约每 1.9 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — 无数据
所用输入
releases_count41
latest_release_tagv0.12.1
releases_from_tags否
days_since_latest_release0
mean_days_between_releases1.9
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？

26危急 · 占总体的 18%

流行度与采用

5危急
评分方式
4.9/60星标 — 3 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
stars3
watchers0
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（MIT）
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？

61中等 · 占总体的 24%

维护者韧性（巴士系数）

24危急
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
9.6/22.5提交分布 — 头号贡献者编写了 57% 的提交
5.4/13.5贡献者广度 — 4 位贡献者
0/10OpenSSF Scorecard：Contributors — project has 0 contributing companies or organizations -- score normalized to 0
所用输入
bus_factor1
contributors_sampled4
top_contributor_share0.573

议题与 PR 响应能力

76良好
评分方式
38/46.8议题解决 — 81% 的议题已关闭
37.6/38.3PR 接受 — 已裁定的 PR 中 112/114 已合并
0/15OpenSSF Scorecard：Code-Review — Found 0/29 approved changesets -- score normalized to 0
所用输入
merged_prs112
open_issues3
closed_issues13
issue_closed_ratio0.812
closed_unmerged_prs2

所有权与托管责任

58中等
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
11.7/25所有者影响力 — manhhailua 有 41 位关注者
25/25既往记录 — 63 个公开仓库，账户约 13 年
所用输入
followers41
owner_typeUser
is_verified—
owner_loginmanhhailua
public_repos63
account_age_days4,886
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。

软件包维护

100优秀
评分方式
25/25已发布且可解析 — pypi 上有 1 个软件包
35/35发布时效 — 最近一次发布于 0 天前
20/20版本历史 — 37 个已发布版本
20/20未被弃用 — 活跃，未被弃用或撤回
所用输入
packageslorekeep
ecosystemspypi
any_deprecated否
min_days_since_publish0

工程质量

基础的工程与文档实践是否到位？

82良好 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 4 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 29 out of 29 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是
has_precommit_config是

文档

65中等
评分方式
30/30README
25/25文档目录
0/15文档 / 主页站点
10/10仓库描述
0/10主题标签
0/10Wiki
所用输入
topics—
has_wiki否
homepage—
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？

58中等 · 占总体的 16%

安全态势

58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 — 29 out of 29 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 0/29 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file 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_aggregate5.8
已排除计分（无数据或不适用）：branch_protection, 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。

54中等 · 占总体的 0%

AI 代理上下文与指引

75良好
评分方式
45/45代理指令 — AGENTS.md, CLAUDE.md, docs/architecture/agent.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否
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md, docs/architecture/agent.md
agent_instruction_max_bytes14,212
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）

52中等
评分方式
0/18一条命令的引导启动
22/22自动化测试
11/11Lint / 格式化配置
0/11静态类型检查
10/10可复现环境 — lockfile
0/10已体现的代理实践 — 无数据
0/8自动化维护 — 无数据
0/10OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix否
has_tests是
lockfilesuv.lock
has_dockerfile否
typed_language否
bootstrap_files—
has_devcontainer否
has_linter_config是
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

54中等
评分方式
0/45可类型检查的代码 — Python，未配置类型检查
54.5/55可控的文件大小 — 采样的 100 个源文件中有 1 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes72,818
source_files_sampled100
oversized_source_files1

机器可读接口

20危急
评分方式
0/40API 模式（OpenAPI/GraphQL/proto）
20/20MCP 服务器
0/40可运行示例
所用输入
example_dirs—
has_mcp_signal是
api_schema_files—

关键数据

3GitHub 星标
4贡献者
195最近 12 个月提交数
0距最近推送天数
41发布版本数
1巴士系数（bus factor）
3开放议题
PyPI软件包生态系统数

更多细节

OpenSSF Scorecard 5.8 / 10
5.8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 15:07 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-Tests29 out of 29 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 0/29 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 9
注册表软件包版本约束清单文件
PyPIpydantic>=2.6pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPImistune>=3.0pyproject.toml
PyPIlitellm>=1.40pyproject.toml
PyPItyper>=0.12pyproject.toml
PyPIrich>=13.7pyproject.toml
PyPInetworkx>=3.2pyproject.toml
PyPImcp>=1.0pyproject.toml
PyPIplatformdirs>=4.0pyproject.toml
全部依赖 85

来自 GitHub 依赖图的完整解析依赖集合：9 个直接依赖与 76 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
PyPIlitellm1.88.1直接
PyPImcp1.28.1直接
PyPImistune3.3.3直接
PyPInetworkx3.6.1直接
PyPIplatformdirs4.10.0直接
PyPIpydantic2.13.4直接
PyPIpyyaml6.0.3直接
PyPIrich15.0.0直接
PyPItyper0.26.7直接
PyPIaiohappyeyeballs2.6.2间接
PyPIaiohttp3.14.1间接
PyPIaiosignal1.4.0间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.13.0间接
PyPIattrs26.1.0间接
PyPIcertifi2026.5.20间接
PyPIcffi2.0.0间接
PyPIcfgv3.5.0间接
PyPIcharset-normalizer3.4.7间接
PyPIclick8.4.1间接
PyPIcolorama0.4.6间接
PyPIcoverage7.14.1间接
PyPIcryptography49.0.0间接
PyPIdistlib0.4.3间接
PyPIdistro1.9.0间接
PyPIfastuuid0.14.0间接
PyPIfilelock3.29.4间接
PyPIfrozenlist1.8.0间接
PyPIfsspec2026.4.0间接
PyPIh110.16.0间接
PyPIhf-xet1.5.1间接
PyPIhttpcore1.0.9间接
PyPIhttpx0.28.1间接
PyPIhttpx-sse0.4.3间接
PyPIhuggingface-hub1.16.1间接
PyPIidentify2.6.19间接
PyPIidna3.18间接
PyPIimportlib-metadata8.9.0间接
PyPIiniconfig2.3.0间接
PyPIjinja23.1.6间接
PyPIjiter0.15.0间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPIlorekeep0.12.1间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImdurl0.1.2间接
PyPImultidict6.7.1间接
PyPInodeenv1.10.0间接
PyPIopenai2.41.1间接
PyPIpackaging26.2间接
PyPIpluggy1.6.0间接
PyPIpre-commit4.6.0间接
PyPIpropcache0.5.2间接
PyPIpycparser3.0间接
PyPIpydantic-core2.46.4间接
PyPIpydantic-settings2.14.2间接
PyPIpygments2.20.0间接
PyPIpyjwt2.13.0间接
PyPIpytest9.0.3间接
PyPIpytest-cov7.1.0间接
PyPIpython-discovery1.4.2间接
PyPIpython-dotenv1.2.2间接
PyPIpython-multipart0.0.32间接
PyPIpywin32312间接
PyPIreferencing0.37.0间接
PyPIregex2026.5.9间接
PyPIrequests2.34.2间接
PyPIrpds-py2026.5.1间接
PyPIshellingham1.5.4间接
PyPIsniffio1.3.1间接
PyPIsse-starlette3.4.4间接
PyPIstarlette1.3.1间接
PyPItiktoken0.13.0间接
PyPItokenizers0.23.1间接
PyPItomli2.4.1间接
PyPItqdm4.68.2间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspection0.4.2间接
PyPIurllib32.7.0间接
PyPIuvicorn0.49.0间接
PyPIvirtualenv21.5.1间接
PyPIyarl1.24.2间接
PyPIzipp4.1.0间接
原始 JSON 报告 机器可读
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  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 2089,
      "has_wiki": false,
      "homepage": null,
      "languages": {
        "Python": 554550
      },
      "pushed_at": "2026-07-19T15:06:41Z",
      "created_at": "2026-06-16T16:19:28Z",
      "owner_type": "User",
      "updated_at": "2026-07-19T15:06:49Z",
      "description": "Lorekeep — temporal knowledge graph for AI agents via MCP",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "MIT",
      "default_branch": "main",
      "license_spdx_raw": "MIT",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
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    },
    "owner": {
      "blog": "http://www.facebook.com/manhhailua",
      "name": "Mạnh Phạm",
      "type": "User",
      "login": "manhhailua",
      "company": null,
      "location": "Hanoi, Vietnam",
      "followers": 41,
      "avatar_url": "https://avatars.githubusercontent.com/u/3754261?v=4",
      "created_at": "2013-03-03T08:42:25Z",
      "is_verified": null,
      "public_repos": 63,
      "account_age_days": 4886
    },
    "license": {
      "state": "standard",
      "spdx_id": "MIT",
      "raw_spdx": "MIT",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases_count": 41,
      "commits_last_year": 195,
      "latest_release_at": "2026-07-19T15:06:18Z",
      "latest_release_tag": "v0.12.1",
      "releases_from_tags": false,
      "days_since_last_push": 0,
      "active_weeks_last_year": 5,
      "days_since_latest_release": 0,
      "mean_days_between_releases": 1.9
    },
    "community": {
      "has_readme": true,
      "has_license": true,
      "has_description": true,
      "has_contributing": false,
      "health_percentage": 57,
      "has_issue_template": false,
      "has_code_of_conduct": false,
      "has_pull_request_template": false
    },
    "ecosystem": {
      "packages": [
        {
          "name": "lorekeep",
          "exists": true,
          "license": "MIT",
          "keywords": [],
          "ecosystem": "pypi",
          "matches_repo": true,
          "registry_url": "https://pypi.org/project/lorekeep/",
          "is_deprecated": false,
          "latest_version": "0.12.1",
          "repository_url": "https://github.com/manhhailua/lorekeep",
          "versions_count": 37,
          "total_downloads": null,
          "dependents_count": null,
          "deprecation_note": null,
          "maintainers_count": null,
          "monthly_downloads": null,
          "first_published_at": "2026-06-16T16:42:55.114615Z",
          "latest_published_at": "2026-07-19T15:06:45.432760Z",
          "latest_version_yanked": null,
          "days_since_latest_publish": 0
        }
      ]
    },
    "popularity": {
      "forks": 0,
      "stars": 3,
      "watchers": 0,
      "open_issues_and_prs": 3
    },
    "ai_readiness": {
      "has_nix": false,
      "example_dirs": [],
      "has_llms_txt": false,
      "has_dockerfile": false,
      "has_mcp_signal": true,
      "bootstrap_files": [],
      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [],
      "largest_source_bytes": 72818,
      "source_files_sampled": 100,
      "oversized_source_files": 1,
      "agent_instruction_files": [
        "AGENTS.md",
        "CLAUDE.md",
        "docs/architecture/agent.md"
      ],
      "agent_instruction_max_bytes": 14212
    },
    "dependencies": {
      "manifests": [
        "pyproject.toml"
      ],
      "ecosystems": [
        "pypi"
      ],
      "dependencies": [
        {
          "name": "pydantic",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=2.6"
        },
        {
          "name": "pyyaml",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=6.0"
        },
        {
          "name": "mistune",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=3.0"
        },
        {
          "name": "litellm",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=1.40"
        },
        {
          "name": "typer",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=0.12"
        },
        {
          "name": "rich",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=13.7"
        },
        {
          "name": "networkx",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=3.2"
        },
        {
          "name": "mcp",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=1.0"
        },
        {
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                "key": "openssf_scorecard_contributors",
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                "points": 0,
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                "max_points": 10
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                "key": "pr_acceptance",
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "max_points": 20
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                "key": "owner_reach",
                "name": "Owner reach",
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                "key": "track_record",
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                "key": "ci_workflows",
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        ],
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                "key": "cii_best_practices",
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              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              },
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                "key": "license",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "project was created within the last 90 days. Please review its contents carefully",
                "points": 0,
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                "details": [],
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              {
                "key": "packaging",
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              },
              {
                "key": "pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
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              },
              {
                "key": "sast",
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              },
              {
                "key": "security_policy",
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                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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}

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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.