公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-26 21:40 UTC

microsoft / graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

Python · Jupyter NotebookMIT★ 34,856 星标⑂ 3,673 复刻始于 2024年3月在 GitHub 上查看 ↗

microsoft/graphrag 的健康指数为 100 分中的 83 分,处于「良好」区间。 其得分最高的类别是Community & Adoption(92/100),最低的是AI Readiness(54/100)。 最近一次更新在今天。 近期的大部分工作由 2 位贡献者完成。

83
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。

83
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

Microsoft组织
125,928 关注者8,222 个公开仓库始于 2013年12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
PyPIgraphrag3.1.174,788478 天前
PyPIgraphrag-llm3.1.1-128 天前
PyPIgraphrag-cache3.1.1-128 天前
PyPIgraphrag-input3.1.1-128 天前
PyPIgraphrag-common3.1.131,981128 天前
PyPIgraphrag-storage3.1.1-128 天前
PyPIgraphrag-vectors3.1.1-128 天前
PyPIgraphrag-chunking3.1.1-128 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?

87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 0 天前
15.9/36提交节奏 — 52 周中有 23 周有提交
17.4/18提交量 — 最近一年 85 次提交
10/10OpenSSF Scorecard:Maintained — 14 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year85
human_commit_share1
days_since_last_push0
active_weeks_last_year23

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 8 天前
27/27发布节奏 — 约每 18.9 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count41
latest_release_tagv3.1.1
releases_from_tags
days_since_latest_release8
mean_days_between_releases18.9
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?

92优秀 · 占总体的 18%
评分方式
60/60星标 — 34,856 个星标
25/25复刻 — 3,673 个复刻
12.7/15关注者 — 196 位关注者
所用输入
forks3,673
stars34,856
watchers196
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

92优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
18/18CONTRIBUTING 指南
13.5/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template
评分方式
67/80月度下载量 — pypi 合计每月 106,769 次下载
0/20注册表被依赖数 — 该生态系统不报告此项
所用输入
packagesgraphrag, graphrag-llm, graphrag-cache, graphrag-input, graphrag-common, graphrag-storage, graphrag-vectors, graphrag-chunking
dependents
ecosystemspypi
total_downloads
monthly_downloads106,769
已排除计分(无数据或不适用):注册表被依赖数。 其余权重已重新归一化。

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?

80良好 · 占总体的 24%
评分方式
25.2/54巴士系数 — 2 位贡献者贡献了半数提交
15.1/22.5提交分布 — 头号贡献者编写了 33% 的提交
13.5/13.5贡献者广度 — 49 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 9 contributing companies or organizations
所用输入
bus_factor2
contributors_sampled49
top_contributor_share0.329
评分方式
46.5/46.8议题解决 — 100% 的议题已关闭
23.6/38.3PR 接受 — 已裁定的 PR 中 746/1,209 已合并
15/15OpenSSF Scorecard:Code-Review — all changesets reviewed
所用输入
merged_prs746
open_issues4
closed_issues828
issue_closed_ratio0.995
closed_unmerged_prs463
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 — microsoft 有 125,928 位关注者
25/25既往记录 — 8,222 个公开仓库,账户约 12 年
所用输入
followers125,928
owner_typeOrganization
is_verified
owner_loginmicrosoft
public_repos8,222
account_age_days4,611
评分方式
25/25已发布且可解析 — pypi 上有 8 个软件包
35/35发布时效 — 最近一次发布于 8 天前
20/20版本历史 — 47 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
packagesgraphrag, graphrag-llm, graphrag-cache, graphrag-input, graphrag-common, graphrag-storage, graphrag-vectors, graphrag-chunking
ecosystemspypi
any_deprecated
min_days_since_publish8

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 — 10 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 — 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

100优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://microsoft.github.io/graphrag/
10/10仓库描述
10/10主题标签 — 7 个主题标签
10/10Wiki
所用输入
topicsgraphrag, rag, llm, llms, gpt, gpt-4, gpt4
has_wiki
homepagehttps://microsoft.github.io/graphrag/
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?

73良好 · 占总体的 16%

安全态势

66中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-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 9 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 — 14 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — 无数据
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
0/7.5Vulnerabilities — 85 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
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。
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_packages113
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:graphrag@3.1.1 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 113 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。

54中等 · 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)
40/40可读的提交历史 — 100 次人类提交中有 99 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_share0.99
agent_instruction_files
agent_instruction_max_bytes
评分方式
0/18一条命令的引导启动
22/22自动化测试
0/11Lint / 格式化配置
11/11静态类型检查 — packages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed
10/10可复现环境 — Dockerfile, lockfile
10/10已体现的代理实践 — 最近 100 次提交中有 7 次由代理编写或署名代理
5/8自动化维护 — 已配置依赖自动化,但在抽样提交中未观察到
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configspackages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed
agent_commit_share0.07
toolchain_manifests
dependency_bot_commit_share0
评分方式
27/45可类型检查的代码 — Python,已配置类型检查(packages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed)
55/55可控的文件大小 — 采样的 573 个源文件中有 0 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes22,070
source_files_sampled573
oversized_source_files0

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 — notebooks
所用输入
example_dirsnotebooks
has_mcp_signal
api_schema_files

关键数据

34,856GitHub 星标
49贡献者
85最近 12 个月提交数
0距最近推送天数
41发布版本数
2巴士系数(bus factor)
4开放议题
PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'graphrag-monorepo' from its registry
  • Could not fetch pypi package 'unified-copilot' from its registry

更多细节

Star 与 Fork 历史 0 ★ / 3,673 ⇿
0Star
3,673Fork
15发布

每颗 star 和每个 fork 的添加时间,来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方,二者可相互对照:稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时,它会作为增长真实性予以报告。

仅显示最近的历史——该仓库超出采集窗口,因此未采集最早的历史记录。

2,5002,7503,0003,2503,5003,7503,673122025-082026-012026-07
主版本 1次版本 3修订 10
OpenSSF Scorecard 6.6 / 10
6.6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 · 2026-07-26 21:40 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained14 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
不适用Packagingpackaging workflow not 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
0Vulnerabilities85 existing vulnerabilities detected
直接依赖 72
注册表软件包版本约束清单文件
PyPIstreamlit==1.43.0unified-search-app/pyproject.toml
PyPIazure-search-documents~=11.4unified-search-app/pyproject.toml
PyPIazure-storage-blob~=12.20unified-search-app/pyproject.toml
PyPIazure-identity~=1.16unified-search-app/pyproject.toml
PyPIgraphrag==2.5.0unified-search-app/pyproject.toml
PyPIaltair~=5.3unified-search-app/pyproject.toml
PyPIstreamlit-agraph~=0.0.45unified-search-app/pyproject.toml
PyPIst-tabs~=0.1unified-search-app/pyproject.toml
PyPIspacy~=3.8unified-search-app/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag-cache/pyproject.toml
PyPIgraphrag-storage==3.1.1packages/graphrag-cache/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag-chunking/pyproject.toml
PyPIpydantic~=2.10packages/graphrag-chunking/pyproject.toml
PyPIpython-dotenv~=1.0packages/graphrag-common/pyproject.toml
PyPIpyyaml~=6.0packages/graphrag-common/pyproject.toml
PyPItoml~=0.10packages/graphrag-common/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag-input/pyproject.toml
PyPIgraphrag-storage==3.1.1packages/graphrag-input/pyproject.toml
PyPIpydantic~=2.10packages/graphrag-input/pyproject.toml
PyPImarkitdown~=0.1.0packages/graphrag-input/pyproject.toml
PyPIpyarrow>=14.0.0packages/graphrag-input/pyproject.toml
PyPIazure-identity~=1.25packages/graphrag-llm/pyproject.toml
PyPIfastapi>=0.136.3,<1.0packages/graphrag-llm/pyproject.toml
PyPIgraphrag-cache==3.1.1packages/graphrag-llm/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag-llm/pyproject.toml
PyPIjinja2~=3.1packages/graphrag-llm/pyproject.toml
PyPIlitellm==1.92.0packages/graphrag-llm/pyproject.toml
PyPInest-asyncio2~=1.7packages/graphrag-llm/pyproject.toml
PyPIorjson>=3.11.6,<4.0packages/graphrag-llm/pyproject.toml
PyPIpydantic~=2.10packages/graphrag-llm/pyproject.toml
PyPItyping-extensions~=4.12packages/graphrag-llm/pyproject.toml
PyPIaiofiles~=25.1packages/graphrag-storage/pyproject.toml
PyPIazure-cosmos~=4.9packages/graphrag-storage/pyproject.toml
PyPIazure-identity~=1.25packages/graphrag-storage/pyproject.toml
PyPIazure-storage-blob~=12.24packages/graphrag-storage/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag-storage/pyproject.toml
PyPIpandas~=3.0packages/graphrag-storage/pyproject.toml
PyPIpydantic~=2.10packages/graphrag-storage/pyproject.toml
PyPIazure-core~=1.32packages/graphrag-vectors/pyproject.toml
PyPIazure-cosmos~=4.9packages/graphrag-vectors/pyproject.toml
PyPIazure-identity~=1.25packages/graphrag-vectors/pyproject.toml
PyPIazure-search-documents~=12.0packages/graphrag-vectors/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag-vectors/pyproject.toml
PyPIlancedb~=0.34.0packages/graphrag-vectors/pyproject.toml
PyPInumpy~=2.1packages/graphrag-vectors/pyproject.toml
PyPIpyarrow~=25.0packages/graphrag-vectors/pyproject.toml
PyPIpydantic~=2.10packages/graphrag-vectors/pyproject.toml
PyPIazure-identity~=1.25packages/graphrag/pyproject.toml
PyPIazure-search-documents~=12.0packages/graphrag/pyproject.toml
PyPIazure-storage-blob~=12.24packages/graphrag/pyproject.toml
PyPIdevtools~=0.12packages/graphrag/pyproject.toml
PyPIgraphrag-cache==3.1.1packages/graphrag/pyproject.toml
PyPIgraphrag-chunking==3.1.1packages/graphrag/pyproject.toml
PyPIgraphrag-common==3.1.1packages/graphrag/pyproject.toml
PyPIgraphrag-input==3.1.1packages/graphrag/pyproject.toml
PyPIgraphrag-llm==3.1.1packages/graphrag/pyproject.toml
PyPIgraphrag-storage==3.1.1packages/graphrag/pyproject.toml
PyPIgraphrag-vectors==3.1.1packages/graphrag/pyproject.toml
PyPIgraspologic-native>=1.2,<1.3packages/graphrag/pyproject.toml
PyPIjson-repair~=0.30packages/graphrag/pyproject.toml
PyPInetworkx~=3.4packages/graphrag/pyproject.toml
PyPInltk~=3.9packages/graphrag/pyproject.toml
PyPInumpy~=2.1packages/graphrag/pyproject.toml
PyPIpandas~=3.0packages/graphrag/pyproject.toml
PyPIpyarrow~=25.0packages/graphrag/pyproject.toml
PyPIpydantic~=2.10packages/graphrag/pyproject.toml
PyPIspacy~=3.8packages/graphrag/pyproject.toml
PyPIblis~=1.0packages/graphrag/pyproject.toml
PyPItextblob~=0.18packages/graphrag/pyproject.toml
PyPItqdm~=4.67packages/graphrag/pyproject.toml
PyPItyping-extensions~=4.12packages/graphrag/pyproject.toml
PyPItyper~=0.16packages/graphrag/pyproject.toml
全部依赖 427

来自 GitHub 依赖图的完整解析依赖集合:106 个直接依赖与 321 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
PyPIaiofiles直接
PyPIaiofiles24.1.0直接
PyPIaiofiles25.1.0直接
PyPIaltair5.5.0直接
PyPIazure-core直接
PyPIazure-core1.35.0直接
PyPIazure-core1.41.0直接
PyPIazure-cosmos直接
PyPIazure-cosmos4.16.1直接
PyPIazure-cosmos4.9.0直接
PyPIazure-identity直接
PyPIazure-identity1.23.1直接
PyPIazure-identity1.25.3直接
PyPIazure-search-documents直接
PyPIazure-search-documents11.5.3直接
PyPIazure-search-documents12.0.0直接
PyPIazure-storage-blob直接
PyPIazure-storage-blob12.26.0直接
PyPIazure-storage-blob12.30.0直接
PyPIblis直接
PyPIblis1.2.1直接
PyPIblis1.3.3直接
PyPIdevtools直接
PyPIdevtools0.12.2直接
PyPIfastapi直接
PyPIfastapi0.139.0直接
PyPIgraphrag2.5.0直接
PyPIgraphrag3.1.1直接
PyPIgraphrag-cache3.1.0直接
PyPIgraphrag-cache3.1.1直接
PyPIgraphrag-chunking3.1.0直接
PyPIgraphrag-chunking3.1.1直接
PyPIgraphrag-common3.1.0直接
PyPIgraphrag-common3.1.1直接
PyPIgraphrag-input3.1.0直接
PyPIgraphrag-input3.1.1直接
PyPIgraphrag-llm3.1.0直接
PyPIgraphrag-llm3.1.1直接
PyPIgraphrag-storage3.1.0直接
PyPIgraphrag-storage3.1.1直接
PyPIgraphrag-vectors3.1.0直接
PyPIgraphrag-vectors3.1.1直接
PyPIgraspologic-native直接
PyPIgraspologic-native1.2.5直接
PyPIjinja2直接
PyPIjinja23.1.6直接
PyPIjson-repair直接
PyPIjson-repair0.30.3直接
PyPIjson-repair0.61.4直接
PyPIlancedb直接
PyPIlancedb0.17.0直接
PyPIlancedb0.34.0直接
PyPIlitellm1.86.2直接
PyPIlitellm1.92.0直接
PyPImarkitdown直接
PyPImarkitdown0.1.6直接
PyPInest-asyncio2直接
PyPInest-asyncio21.7.2直接
PyPInetworkx直接
PyPInetworkx3.4.2直接
PyPInetworkx3.5直接
PyPInetworkx3.6.1直接
PyPInltk直接
PyPInltk3.10.0直接
PyPInltk3.9.1直接
PyPInumpy直接
PyPInumpy1.26.4直接
PyPInumpy2.4.6直接
PyPInumpy2.5.1直接
PyPIorjson直接
PyPIorjson3.11.9直接
PyPIpandas直接
PyPIpandas2.3.1直接
PyPIpandas3.0.3直接
PyPIpyarrow直接
PyPIpyarrow21.0.0直接
PyPIpyarrow25.0.0直接
PyPIpydantic直接
PyPIpydantic2.11.7直接
PyPIpydantic2.13.4直接
PyPIpython-dotenv直接
PyPIpython-dotenv1.1.1直接
PyPIpython-dotenv1.2.2直接
PyPIpyyaml直接
PyPIpyyaml6.0.2直接
PyPIpyyaml6.0.3直接
PyPIspacy直接
PyPIspacy3.8.14直接
PyPIspacy3.8.7直接
PyPIst-tabs0.1.1直接
PyPIstreamlit1.43.0直接
PyPIstreamlit-agraph0.0.45直接
PyPItextblob直接
PyPItextblob0.18.0.post0直接
PyPItextblob0.20.0直接
PyPItoml直接
PyPItoml0.10.2直接
PyPItqdm直接
PyPItqdm4.67.1直接
PyPItqdm4.68.4直接
PyPItyper直接
PyPItyper0.17.4直接
PyPItyper0.26.8直接
PyPItyping-extensions直接
PyPItyping-extensions4.14.1直接
PyPItyping-extensions4.16.0直接
PyPIaiohappyeyeballs2.7.1间接
PyPIaiohttp3.14.1间接
PyPIaiolimiter1.2.1间接
PyPIaiosignal1.4.0间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.14.2间接
PyPIanyio4.9.0间接
PyPIanytree2.13.0间接
PyPIappnope0.1.4间接
PyPIargon2-cffi25.1.0间接
PyPIargon2-cffi-bindings25.1.0间接
PyPIarrow1.4.0间接
PyPIasttokens2.4.1间接
PyPIasync-lru2.3.0间接
PyPIattrs25.3.0间接
PyPIattrs26.1.0间接
PyPIautograd1.8.0间接
PyPIazure-common1.1.28间接
PyPIbabel2.18.0间接
PyPIbackports-datetime-fromisoformat2.0.3间接
PyPIbackrefs7.0间接
PyPIbeartype0.18.5间接
PyPIbeautifulsoup44.15.0间接
PyPIbleach6.4.0间接
PyPIblinker1.9.0间接
PyPIcachetools5.5.2间接
PyPIcatalogue2.0.10间接
PyPIcertifi2025.7.14间接
PyPIcertifi2026.6.17间接
PyPIcffi1.17.1间接
PyPIcffi2.1.0间接
PyPIcharset-normalizer3.4.2间接
PyPIcharset-normalizer3.4.9间接
PyPIclick8.1.8间接
PyPIclick8.4.2间接
PyPIcloudpathlib0.21.1间接
PyPIcloudpathlib0.24.0间接
PyPIcolorama0.4.6间接
PyPIcoloredlogs15.0.1间接
PyPIcomm0.2.3间接
PyPIconfection0.1.5间接
PyPIconfection1.3.3间接
PyPIcontourpy1.3.2间接
PyPIcontourpy1.3.3间接
PyPIcoverage7.15.1间接
PyPIcryptography45.0.5间接
PyPIcryptography49.0.0间接
PyPIcycler0.12.1间接
PyPIcymem2.0.11间接
PyPIcymem2.0.13间接
PyPIdebugpy1.8.15间接
PyPIdebugpy1.8.21间接
PyPIdecorator5.2.1间接
PyPIdecorator5.3.1间接
PyPIdefusedxml0.7.1间接
PyPIdeprecation2.1.0间接
PyPIdeptry0.25.1间接
PyPIdistro1.9.0间接
PyPIenvirons11.2.1间接
PyPIexceptiongroup1.3.0间接
PyPIexecnet2.1.2间接
PyPIexecuting2.2.0间接
PyPIexecuting2.2.1间接
PyPIfastjsonschema2.21.2间接
PyPIfastuuid0.14.0间接
PyPIfilelock3.29.7间接
PyPIflatbuffers25.12.19间接
PyPIfnllm0.4.1间接
PyPIfonttools4.59.0间接
PyPIfqdn1.5.1间接
PyPIfrozenlist1.8.0间接
PyPIfsspec2026.6.0间接
PyPIfuture1.0.0间接
PyPIgensim4.3.3间接
PyPIghp-import2.1.0间接
PyPIgitdb4.0.12间接
PyPIgitpython3.1.45间接
PyPIgraphrag-monorepo0.0.0间接
PyPIgraspologic3.4.1间接
PyPIh110.16.0间接
PyPIhatchling间接
PyPIhf-xet1.5.1间接
PyPIhttpcore1.0.9间接
PyPIhttpx0.28.1间接
PyPIhuggingface-hub1.23.0间接
PyPIhumanfriendly10.0间接
PyPIhyppo0.4.0间接
PyPIidna3.10间接
PyPIidna3.18间接
PyPIimportlib-metadata8.9.0间接
PyPIiniconfig2.3.0间接
PyPIipykernel6.30.0间接
PyPIipykernel7.3.0间接
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PyPIipython9.15.0间接
PyPIipython9.4.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIipywidgets8.1.8间接
PyPIisodate0.7.2间接
PyPIisoduration20.11.0间接
PyPIjedi0.19.2间接
PyPIjedi0.20.0间接
PyPIjiter0.10.0间接
PyPIjiter0.16.0间接
PyPIjoblib1.5.1间接
PyPIjoblib1.5.3间接
PyPIjson50.15.0间接
PyPIjsonpointer3.1.1间接
PyPIjsonschema4.25.0间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.4.1间接
PyPIjsonschema-specifications2025.9.1间接
PyPIjupyter1.1.1间接
PyPIjupyter-builder1.1.0间接
PyPIjupyter-client8.6.3间接
PyPIjupyter-client8.9.1间接
PyPIjupyter-console6.6.3间接
PyPIjupyter-core5.8.1间接
PyPIjupyter-core5.9.1间接
PyPIjupyter-events0.12.1间接
PyPIjupyter-lsp2.3.1间接
PyPIjupyter-server2.20.0间接
PyPIjupyter-server-terminals0.5.4间接
PyPIjupyterlab4.6.1间接
PyPIjupyterlab-pygments0.3.0间接
PyPIjupyterlab-server2.28.0间接
PyPIjupyterlab-widgets3.0.16间接
PyPIjupytext1.19.4间接
PyPIkiwisolver1.4.8间接
PyPIlance-namespace0.9.0间接
PyPIlance-namespace-urllib3-client0.9.0间接
PyPIlangcodes3.5.0间接
PyPIlanguage-data1.3.0间接
PyPIlark1.3.1间接
PyPIllvmlite0.44.0间接
PyPImagika0.6.3间接
PyPImarisa-trie1.2.1间接
PyPImarkdown3.10.2间接
PyPImarkdown-it-py3.0.0间接
PyPImarkdown-it-py4.2.0间接
PyPImarkdownify1.2.3间接
PyPImarkupsafe3.0.2间接
PyPImarkupsafe3.0.3间接
PyPImarshmallow4.0.0间接
PyPImatplotlib3.10.3间接
PyPImatplotlib-inline0.1.7间接
PyPImatplotlib-inline0.2.2间接
PyPImdit-py-plugins0.6.1间接
PyPImdurl0.1.2间接
PyPImergedeep1.3.4间接
PyPImistune3.3.3间接
PyPImkdocs1.6.1间接
PyPImkdocs-exclude-search0.6.6间接
PyPImkdocs-get-deps0.2.2间接
PyPImkdocs-jupyter0.26.3间接
PyPImkdocs-material9.7.6间接
PyPImkdocs-material-extensions1.3.1间接
PyPImkdocs-typer0.0.3间接
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PyPImsal1.33.0间接
PyPImsal1.37.0间接
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PyPImurmurhash1.0.13间接
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PyPInbclient0.11.0间接
PyPInbconvert7.17.1间接
PyPInbformat5.10.4间接
PyPInest-asyncio1.6.0间接
PyPInodeenv1.10.0间接
PyPInodeenv1.9.1间接
PyPInotebook7.6.0间接
PyPInotebook-shim0.2.4间接
PyPInumba0.61.2间接
PyPIonnxruntime1.20.1间接
PyPIopenai1.107.0间接
PyPIopenai2.45.0间接
PyPIoverrides7.7.0间接
PyPIpackaging24.2间接
PyPIpackaging26.2间接
PyPIpaginate0.5.7间接
PyPIpandas-stubs3.0.3.260530间接
PyPIpandocfilters1.5.1间接
PyPIparso0.8.4间接
PyPIparso0.8.7间接
PyPIpastel0.2.1间接
PyPIpathspec1.1.1间接
PyPIpatsy1.0.1间接
PyPIpdfminer-six20260107间接
PyPIpdfplumber0.11.10间接
PyPIpexpect4.9.0间接
PyPIpillow11.3.0间接
PyPIpillow12.3.0间接
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PyPIpluggy1.6.0间接
PyPIpoethepoet0.36.0间接
PyPIpoethepoet0.48.0间接
PyPIpot0.9.5间接
PyPIpreshed3.0.10间接
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PyPIprometheus-client0.25.0间接
PyPIprompt-toolkit3.0.51间接
PyPIprompt-toolkit3.0.52间接
PyPIpropcache0.5.2间接
PyPIprotobuf5.29.5间接
PyPIprotobuf7.35.1间接
PyPIpsutil7.0.0间接
PyPIpsutil7.2.2间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpycparser2.22间接
PyPIpycparser3.0间接
PyPIpydantic-core2.33.2间接
PyPIpydantic-core2.46.4间接
PyPIpydeck0.9.1间接
PyPIpygments2.19.2间接
PyPIpygments2.20.0间接
PyPIpyjwt2.10.1间接
PyPIpyjwt2.13.0间接
PyPIpylance0.20.0间接
PyPIpymdown-extensions11.0.1间接
PyPIpynndescent0.5.13间接
PyPIpyparsing3.2.3间接
PyPIpypdfium25.11.0间接
PyPIpyreadline33.5.6间接
PyPIpyright1.1.403间接
PyPIpyright1.1.411间接
PyPIpytest9.1.1间接
PyPIpytest-asyncio1.4.0间接
PyPIpytest-dotenv0.5.2间接
PyPIpytest-timeout2.4.0间接
PyPIpytest-xdist3.8.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-json-logger4.1.0间接
PyPIpytz2025.2间接
PyPIpywin32311间接
PyPIpywinpty3.0.5间接
PyPIpyyaml-env-tag1.1间接
PyPIpyzmq27.0.0间接
PyPIpyzmq27.1.0间接
PyPIrdflib7.1.4间接
PyPIreferencing0.36.2间接
PyPIreferencing0.37.0间接
PyPIregex2024.11.6间接
PyPIregex2026.7.10间接
PyPIrequests2.32.4间接
PyPIrequests2.34.2间接
PyPIrequirements-parser0.13.1间接
PyPIrfc3339-validator0.1.4间接
PyPIrfc3986-validator0.1.1间接
PyPIrfc3987-syntax1.1.0间接
PyPIrich13.9.4间接
PyPIrich15.0.0间接
PyPIrpds-py0.26.0间接
PyPIrpds-py2026.6.3间接
PyPIruff0.12.5间接
PyPIruff0.15.21间接
PyPIscikit-learn1.7.1间接
PyPIscipy1.12.0间接
PyPIseaborn0.13.2间接
PyPIsemversioner3.0.1间接
PyPIsend2trash2.1.0间接
PyPIsetuptools80.9.0间接
PyPIsetuptools83.0.0间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsmart-open7.3.0.post1间接
PyPIsmart-open8.0.1间接
PyPIsmmap5.0.2间接
PyPIsniffio1.3.1间接
PyPIsoupsieve2.8.4间接
PyPIspacy-legacy3.0.12间接
PyPIspacy-loggers1.0.5间接
PyPIsrsly2.5.1间接
PyPIsrsly2.5.3间接
PyPIstack-data0.6.3间接
PyPIstarlette1.3.1间接
PyPIstatsmodels0.14.5间接
PyPIsympy1.14.0间接
PyPItenacity9.1.2间接
PyPIterminado0.18.1间接
PyPIthinc8.3.13间接
PyPIthinc8.3.4间接
PyPIthreadpoolctl3.6.0间接
PyPItiktoken0.11.0间接
PyPItiktoken0.13.0间接
PyPItinycss21.5.1间接
PyPItokenizers0.23.1间接
PyPItomli2.2.1间接
PyPItomli2.4.1间接
PyPItomlkit0.12.5间接
PyPItornado6.5.1间接
PyPItornado6.5.7间接
PyPItraitlets5.14.3间接
PyPItraitlets5.15.1间接
PyPItyping-inspection0.4.1间接
PyPItyping-inspection0.4.2间接
PyPItzdata2025.2间接
PyPItzdata2026.3间接
PyPIumap-learn0.5.9.post2间接
PyPIupdate-toml0.2.1间接
PyPIuri-template1.3.0间接
PyPIurllib32.5.0间接
PyPIurllib32.7.0间接
PyPIwasabi1.1.3间接
PyPIwatchdog6.0.0间接
PyPIwcwidth0.2.13间接
PyPIwcwidth0.8.2间接
PyPIweasel0.4.1间接
PyPIweasel1.0.0间接
PyPIwebcolors25.10.0间接
PyPIwebencodings0.5.1间接
PyPIwebsocket-client1.9.0间接
PyPIwidgetsnbextension4.0.15间接
PyPIwrapt1.17.2间接
PyPIwrapt2.2.2间接
PyPIyarl1.24.2间接
PyPIzipp4.1.0间接
依赖安全公告 0

安装 pypi:graphrag@3.1.1 会引入 113 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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          "body": "…s (#2236)\n\n* feat(graphrag-vectors): add filtering, timestamps, and CRUD operations\n\nImplement the vector store enhancements from the graphrag-vectors-design spec:\n\nNew modules:\n- filtering.py: Pydantic-based filter expression system with F builder,\n  operator overloads, JSON serialization, client-\n[…]\nuet, embeddings.text_unit_text.parquet)\n- Add CPY001, SLF001, DTZ005 to notebook lint ignores in pyproject.toml\n\n* refactor: extract model/tokenizer creation from generate_text_embeddings into callers",
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          "headline": "Streaming create_final_text_units (#2238)",
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          "is_bot": false,
          "headline": "Streaming create communities (#2237)",
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          "headline": "add release doc (#2235)",
          "author_name": "Dayenne Souza",
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          "headline": "Cosmosdb communities bug (#2232)",
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          "headline": "Litellm auth fix (#2083)",
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          "headline": "Remove community reports rate limiter (#2056)",
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          "headline": "Input docs API parameter (#2034)",
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              {
                "key": "topics",
                "name": "Topics",
                "detail": "7 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 7
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "good",
        "name": "Security",
        "value": 73,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 66,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 6.6
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "14 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "85 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:graphrag@3.1.1 runtime dependency closure — what installing the published package pulls in — 113 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:graphrag@3.1.1",
                  "assessed": 113
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 113,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 113,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": 15
            },
            "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": "moderate",
        "name": "AI Readiness",
        "value": 54,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.99,
              "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": "99 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 99,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 58,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "packages/graphrag-cache/graphrag_cache/py.typed",
                "packages/graphrag-common/graphrag_common/py.typed",
                "packages/graphrag-llm/graphrag_llm/py.typed",
                "packages/graphrag-storage/graphrag_storage/py.typed",
                "packages/graphrag/graphrag/py.typed"
              ],
              "agent_commit_share": 0.07,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "packages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "packages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "7 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 7,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 22070,
              "source_files_sampled": 573,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (packages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "packages/graphrag-cache/graphrag_cache/py.typed, packages/graphrag-common/graphrag_common/py.typed, packages/graphrag-llm/graphrag_llm/py.typed, packages/graphrag-storage/graphrag_storage/py.typed, packages/graphrag/graphrag/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/573 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 573,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "notebooks"
              ],
              "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": "notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "notebooks"
                    }
                  }
                ],
                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch pypi package 'graphrag-monorepo' from its registry",
    "Could not fetch pypi package 'unified-copilot' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T21:40:55.520352Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/microsoft/graphrag.svg",
  "full_name": "microsoft/graphrag",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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.