公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-28 14:41 UTC

iiasa / ixmp4

A data warehouse for high-powered scenario analysis in the domain of integrated assessment of climate change and energy systems modeling

PythonMIT★ 14 星标⑂ 8 复刻始于 2023年4月在 GitHub 上查看 ↗

iiasa/ixmp4 的健康指数为 100 分中的 70 分,处于「良好」区间。 其得分最高的类别是Engineering Quality(91/100),最低的是Community & Adoption(49/100)。 最近一次更新在 27 天前。 近期的大部分工作由 1 位贡献者完成。

70
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。

70
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

IIASA组织
212 关注者202 个公开仓库始于 2015年10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
PyPIixmp40.16.664,6275127 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?

80良好 · 占总体的 22%
评分方式
28.8/36推送新近度 — 最近一次推送于 27 天前
11.1/36提交节奏 — 52 周中有 16 周有提交
15.7/18提交量 — 最近一年 55 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year55
human_commit_share1
days_since_last_push27
active_weeks_last_year16

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 51 个发布版本
36/36发布时效 — 最近一次发布版本于 27 天前
27/27发布节奏 — 约每 5.4 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count51
latest_release_tagv0.16.6
releases_from_tags
days_since_latest_release27
mean_days_between_releases5.4
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?

49存在风险 · 占总体的 18%
评分方式
18.1/60星标 — 14 个星标
7/25复刻 — 8 个复刻
3.3/15关注者 — 5 位关注者
所用输入
forks8
stars14
watchers5
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
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template
评分方式
64.1/80月度下载量 — pypi 合计每月 64,627 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
packagesixmp4
dependents
ecosystemspypi
total_downloads
monthly_downloads64,627
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?

66中等 · 占总体的 24%
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
11.2/22.5提交分布 — 头号贡献者编写了 50% 的提交
6.8/13.5贡献者广度 — 5 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 5 contributing companies or organizations
所用输入
bus_factor1
contributors_sampled5
top_contributor_share0.5
评分方式
26.9/46.8议题解决 — 58% 的议题已关闭
34.8/38.3PR 接受 — 已裁定的 PR 中 169/186 已合并
7.5/15OpenSSF Scorecard:Code-Review — Found 16/30 approved changesets -- score normalized to 5
所用输入
merged_prs169
open_issues28
closed_issues38
issue_closed_ratio0.576
closed_unmerged_prs17
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
16.7/25所有者影响力 — iiasa 有 212 位关注者
25/25既往记录 — 202 个公开仓库,账户约 10 年
所用输入
followers212
owner_typeOrganization
is_verified
owner_loginiiasa
public_repos202
account_age_days3,933
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 27 天前
20/20版本历史 — 51 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
packagesixmp4
ecosystemspypi
any_deprecated
min_days_since_publish27

工程质量

基础的工程与文档实践是否到位?

91优秀 · 占总体的 20%

工程实践

92优秀
评分方式
24/24CI 工作流 — 3 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
18/20OpenSSF Scorecard:CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

90优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://docs.ece.iiasa.ac.at/ixmp4
10/10仓库描述
10/10主题标签 — 7 个主题标签
0/10Wiki
所用输入
topicsdatabase, energy-systems, integrated-assessment, modelling, python, scenario-analysis, iamc
has_wiki
homepagehttps://docs.ece.iiasa.ac.at/ixmp4
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?

62中等 · 占总体的 16%

安全态势

53中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.2/2.5CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 16/30 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
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。
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_packages69
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:ixmp4@0.16.6 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 69 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。

63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 85 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_share0.85
agent_instruction_files
agent_instruction_max_bytes
评分方式
18/18一条命令的引导启动 — doc/Makefile
22/22自动化测试
11/11Lint / 格式化配置
11/11静态类型检查 — ixmp4/py.typed
10/10可复现环境 — Dockerfile, lockfile
2/10已体现的代理实践 — 最近 100 次提交中有 1 次由代理编写或署名代理
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfilespoetry.lock
has_dockerfile
typed_language
bootstrap_filesdoc/Makefile
has_devcontainer
has_linter_config
typecheck_configsixmp4/py.typed
agent_commit_share0.01
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(ixmp4/py.typed)
54.8/55可控的文件大小 — 采样的 320 个源文件中有 1 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes68,884
source_files_sampled320
oversized_source_files1

关键数据

14GitHub 星标
5贡献者
55最近 12 个月提交数
27距最近推送天数
51发布版本数
1巴士系数(bus factor)
28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

更多细节

Star 与 Fork 历史 0 ★ / 8 ⇿
0Star
8Fork
33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。

2345678822023-042024-092026-02
主版本 0次版本 13修订 20

每个点涵盖 3 天。

OpenSSF Scorecard 5.3 / 10
5.3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 · 2026-07-28 14:40 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
9CI-Tests18 out of 19 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 16/30 approved changesets -- score normalized to 5
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
直接依赖 17
注册表软件包版本约束清单文件
PyPIalembic>=1.12.0pyproject.toml
PyPIhttpx>=0.25.0pyproject.toml
PyPIopenpyxl>=3.0.9pyproject.toml
PyPIpandas>=2.1.1pyproject.toml
PyPIpandera>=0.28.0pyproject.toml
PyPIpsycopg>=3.1.12pyproject.toml
PyPIpydantic>=2.11.0pyproject.toml
PyPIpydantic-settings>=2.1.0pyproject.toml
PyPIPyJWT>=2.4.0pyproject.toml
PyPIpython-dotenv>=1.0.1pyproject.toml
PyPIrich>=13.5.2pyproject.toml
PyPISQLAlchemy>=2.0.22pyproject.toml
PyPISQLAlchemy-Utils>=0.41.0pyproject.toml
PyPItoml>=0.10.2pyproject.toml
PyPItyper>=0.19.0pyproject.toml
PyPIscse-toolkit(>=1.2.0,<2.0.0)pyproject.toml
PyPIlitestar(>=2.18.0,<3.0.0)pyproject.toml
全部依赖 178

来自 GitHub 依赖图的完整解析依赖集合:17 个直接依赖与 161 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
PyPIalembic1.18.4直接
PyPIhttpx0.27.2直接
PyPIlitestar2.24.0直接
PyPIopenpyxl3.1.5直接
PyPIpandas2.3.3直接
PyPIpandera0.32.0直接
PyPIpsycopg3.3.4直接
PyPIpydantic2.13.4直接
PyPIpydantic-settings2.14.2直接
PyPIpyjwt2.13.0直接
PyPIpython-dotenv1.2.2直接
PyPIrich14.3.4直接
PyPIscse-toolkit1.2.0直接
PyPIsqlalchemy2.0.51直接
PyPIsqlalchemy-utils0.42.1直接
PyPItoml0.10.2直接
PyPItyper0.26.7直接
PyPIalabaster1.0.0间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.14.1间接
PyPIappnope0.1.4间接
PyPIargon2-cffi25.1.0间接
PyPIargon2-cffi-bindings25.1.0间接
PyPIast-serialize0.5.0间接
PyPIasttokens3.0.1间接
PyPIattrs26.1.0间接
PyPIbabel2.18.0间接
PyPIbuild1.5.0间接
PyPIcertifi2026.6.17间接
PyPIcffi2.0.0间接
PyPIcfgv3.5.0间接
PyPIcharset-normalizer3.4.7间接
PyPIclick8.4.2间接
PyPIcolorama0.4.6间接
PyPIcomm0.2.3间接
PyPIcoverage7.14.3间接
PyPIdebugpy1.8.21间接
PyPIdecorator5.3.1间接
PyPIdeepmerge2.1.0间接
PyPIdistlib0.4.3间接
PyPIdocutils0.21.2间接
PyPIet-xmlfile2.0.0间接
PyPIexceptiongroup1.3.1间接
PyPIexecuting2.2.1间接
PyPIfaker40.23.0间接
PyPIfilelock3.29.4间接
PyPIgreenlet3.5.2间接
PyPIh110.16.0间接
PyPIh24.3.0间接
PyPIhpack4.2.0间接
PyPIhttpcore1.0.9间接
PyPIhttptools0.8.0间接
PyPIhyperframe6.1.0间接
PyPIidentify2.6.19间接
PyPIidna3.18间接
PyPIimagesize2.0.0间接
PyPIimportlib-metadata9.0.0间接
PyPIiniconfig2.3.0间接
PyPIipykernel7.3.0间接
PyPIipython8.39.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIjedi0.20.0间接
PyPIjinja23.1.6间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPIjupyter-client8.9.1间接
PyPIjupyter-core5.9.1间接
PyPIlatexcodec3.0.1间接
PyPIlibrt0.11.0间接
PyPIlinkify-it-py2.1.0间接
PyPIlitestar-htmx0.5.0间接
PyPImako1.3.12间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib-inline0.2.2间接
PyPImdit-py-plugins0.6.1间接
PyPImdurl0.1.2间接
PyPImemray1.19.3间接
PyPIminio7.2.20间接
PyPImistune3.3.2间接
PyPImsgspec0.21.1间接
PyPImultidict6.7.1间接
PyPImultipart1.3.1间接
PyPImypy2.1.0间接
PyPImypy-extensions1.1.0间接
PyPInest-asyncio21.7.2间接
PyPInodeenv1.10.0间接
PyPInumpy2.2.6间接
PyPInumpy-typing-compat20251206.2.4间接
PyPIoptype0.9.3间接
PyPIpackaging26.2间接
PyPIpandas-stubs2.3.3.260113间接
PyPIparso0.8.7间接
PyPIpathspec1.1.1间接
PyPIpexpect4.9.0间接
PyPIpicobox4.0.0间接
PyPIplatformdirs4.10.0间接
PyPIpluggy1.6.0间接
PyPIpolars1.42.0间接
PyPIpolars-runtime-321.42.0间接
PyPIpolyfactory3.3.0间接
PyPIpre-commit4.6.0间接
PyPIprompt-toolkit3.0.52间接
PyPIpsutil7.2.2间接
PyPIpsycopg-binary3.3.4间接
PyPIptvsd4.3.2间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpy-cpuinfo9.0.0间接
PyPIpybtex0.26.1间接
PyPIpybtex-docutils1.0.3间接
PyPIpycparser3.0间接
PyPIpycryptodome3.23.0间接
PyPIpydantic-core2.46.4间接
PyPIpygments2.20.0间接
PyPIpyproject-hooks1.2.0间接
PyPIpytest9.1.1间接
PyPIpytest-alembic0.12.1间接
PyPIpytest-benchmark5.2.3间接
PyPIpytest-cov7.1.0间接
PyPIpytest-memray1.8.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.4.2间接
PyPIpytz2026.2间接
PyPIpyyaml6.0.3间接
PyPIpyzmq27.1.0间接
PyPIreferencing0.37.0间接
PyPIrequests2.34.2间接
PyPIrich-click1.9.8间接
PyPIroman-numerals4.1.0间接
PyPIroman-numerals-py3.1.0间接
PyPIrpds-py0.30.0间接
PyPIruff0.15.19间接
PyPIscipy-stubs1.15.3.0间接
PyPIsetuptools82.0.1间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsnakeviz2.2.2间接
PyPIsniffio1.3.1间接
PyPIsnowballstemmer3.1.1间接
PyPIsphinx8.1.3间接
PyPIsphinx-mdinclude0.6.2间接
PyPIsphinx-multiversion0.2.4间接
PyPIsphinx-rtd-theme3.1.0间接
PyPIsphinxcontrib-applehelp2.0.0间接
PyPIsphinxcontrib-bibtex2.7.0间接
PyPIsphinxcontrib-devhelp2.0.0间接
PyPIsphinxcontrib-htmlhelp2.1.0间接
PyPIsphinxcontrib-httpdomain2.0.0间接
PyPIsphinxcontrib-jquery4.1间接
PyPIsphinxcontrib-jsmath1.0.1间接
PyPIsphinxcontrib-openapi0.9.0间接
PyPIsphinxcontrib-qthelp2.0.0间接
PyPIsphinxcontrib-serializinghtml2.0.0间接
PyPIsphinxcontrib-typer0.7.2间接
PyPIstack-data0.6.3间接
PyPItextual8.2.7间接
PyPItomli2.4.1间接
PyPItornado6.5.7间接
PyPItraitlets5.15.1间接
PyPItypeguard4.5.2间接
PyPItyper-slim0.24.0间接
PyPItypes-pytz2026.2.0.20260518间接
PyPItypes-toml0.10.8.20260518间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspect0.9.0间接
PyPItyping-inspection0.4.2间接
PyPItzdata2026.2间接
PyPIuc-micro-py2.0.0间接
PyPIurllib32.7.0间接
PyPIuvicorn0.49.0间接
PyPIuvloop0.22.1间接
PyPIvirtualenv21.5.1间接
PyPIwatchfiles1.2.0间接
PyPIwcwidth0.8.1间接
PyPIwebsockets16.0间接
PyPIzipp4.1.0间接
依赖安全公告 0

安装 pypi:ixmp4@0.16.6 会引入 69 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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                "detail": "https://docs.ece.iiasa.ac.at/ixmp4",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 62,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 53,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 5.3
            },
            "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": "internal 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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "18 out of 19 merged PRs checked by a CI test -- score normalized to 9",
                "points": 2.2,
                "status": "partial",
                "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": "Found 16/30 approved changesets -- score normalized to 5",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 5 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": "no update tool detected",
                "points": 0,
                "status": "missed",
                "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": "30 commit(s) and 2 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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "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 not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "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": "1 existing vulnerabilities detected",
                "points": 6.8,
                "status": "partial",
                "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:ixmp4@0.16.6 runtime dependency closure — what installing the published package pulls in — 69 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:ixmp4@0.16.6",
                  "assessed": 69
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 69,
              "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": 69,
              "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": 7
            },
            "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": 63,
        "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": 0.85,
              "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": "85 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 85,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "doc/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "ixmp4/py.typed"
              ],
              "agent_commit_share": 0.01,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "doc/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "doc/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": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "ixmp4/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "ixmp4/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": "1 of the last 100 commits agent-authored or agent-credited",
                "points": 2,
                "status": "partial",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 1,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "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": 68884,
              "source_files_sampled": 320,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (ixmp4/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "ixmp4/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/320 source files over 60KB",
                "points": 54.8,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 320,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T14:41:12.081993Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/iiasa/ixmp4.svg",
  "full_name": "iiasa/ixmp4",
  "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.