公开记录优秀
软件健康报告模式 0.27.0 · 指标 2.3.1 · 2026-08-01 16:25 UTC
precice / micro-manager
A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.
precice/micro-manager 的健康指数为 100 分中的 88 分，处于「优秀」区间。 其得分最高的类别是Vitality（91/100），最低的是AI Readiness（43/100）。 最近一次更新在 5 天前。 近期的大部分工作由 1 位贡献者完成。
88
总分 / 100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，再依据公开记录的分布进行校准，使各等级具有百分位含义；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 34（存在风险）的上限。
88
卓越93-100公开记录中的最高层级（约前 5%）；基本满足所有检验标准
优秀80-92各方面均表现强劲；仅有少量不足
良好65-79健康；不足之处有限且可控
中等50-64可接受，但存在明显不足；建议进行审查
薄弱35-49多个领域存在实质性薄弱环节
存在风险20-34存在重大薄弱环节；采用时应保持审慎
危急1-19问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
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。
加权总体分 74 经校准后在公布的指数量表上为 88（记录校准 2026-08-02）。
所有权
软件包生态系统
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 | 标签 |
|---|---|---|---|---|---|---|
| PyPI | micro-manager-precice | 0.11.1 | 270 | 18 | 18 天前 | precicemultiscalecoupling |
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？
91
开发活跃度
90优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 5 天前 |
| 26.3/36 | 提交节奏 — 52 周中有 38 周有提交 |
| 18/18 | 提交量 — 最近一年 148 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 148 |
| human_commit_share | 0.91 |
| days_since_last_push | 5 |
| active_weeks_last_year | 38 |
发布纪律
92优秀
评分方式
| 27/27 | 有发布版本 — 已发布 23 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 18 天前 |
| 19.8/27 | 发布节奏 — 约每 77.4 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 23 |
| latest_release_tag | v0.11.1 |
| releases_from_tags | 否 |
| days_since_latest_release | 18 |
| mean_days_between_releases | 77.4 |
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？
51
流行度与采用
34存在风险
评分方式
| 21.4/60 | 星标 — 22 个星标 |
| 10.3/25 | 复刻 — 18 个复刻 |
| 2.7/15 | 关注者 — 4 位关注者 |
所用输入
| forks | 18 |
| stars | 22 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
77良好
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（LGPL-3.0） |
| 18/18 | CONTRIBUTING 指南 |
| 0/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| readme_badges | — |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| readme_badge_services | — |
| has_pull_request_template | 是 |
生态采用（下载量）
40薄弱
评分方式
| 32.4/80 | 月度下载量 — pypi 合计每月 270 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
| packages | micro-manager-precice |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 270 |
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？
69
维护者韧性（巴士系数）
38薄弱
评分方式
| 9/54 | 巴士系数 — 1 位贡献者贡献了半数提交 |
| 5.2/22.5 | 提交分布 — 头号贡献者编写了 77% 的提交 |
| 13.5/13.5 | 贡献者广度 — 15 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 5 contributing companies or organizations |
所用输入
| bus_factor | 1 |
| contributors_sampled | 15 |
| top_contributor_share | 0.767 |
议题与 PR 响应能力
77良好
评分方式
| 28/42 | 议题解决 — 67% 的议题已关闭 |
| 28.4/30 | PR 接受 — 已裁定的 PR 中 213/225 已合并 |
| 0/13 | Newcomer PR acceptance — 30 天内没有首次贡献者的 PR 得到裁决 |
| 10.5/15 | OpenSSF Scorecard：Code-Review — Found 15/19 approved changesets -- score normalized to 7 |
所用输入
| merged_prs | 213 |
| open_issues | 26 |
| closed_issues | 52 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.667 |
| closed_unmerged_prs | 12 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
已排除计分（无数据或不适用）：newcomer_pr_acceptance。 其余权重已重新归一化。
所有权与托管责任
72良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 17.3/25 | 所有者影响力 — precice 有 257 位关注者 |
| 25/25 | 既往记录 — 64 个公开仓库，账户约 11 年 |
所用输入
| followers | 257 |
| owner_type | Organization |
| is_verified | — |
| owner_login | precice |
| public_repos | 64 |
| account_age_days | 4,089 |
软件包维护
100卓越
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 18 天前 |
| 20/20 | 版本历史 — 18 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
| packages | micro-manager-precice |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 18 |
工程质量
基础的工程与文档实践是否到位？
90
工程实践
94卓越
评分方式
| 24/24 | CI 工作流 — 13 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard：CI-Tests — 19 out of 19 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
85优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 0/15 | 文档 / 主页站点 |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 5 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | coupling, macro-micro, multiphysics, multiscale, research-and-development |
| has_wiki | 是 |
| 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？
71
安全态势
64中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — 无数据 |
| 2.5/2.5 | CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 15/19 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 5 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6.4 |
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。
依赖安全公告
100卓越
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
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 6 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
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:micro-manager-precice@0.11.1 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 6 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？权重刻意设小（4%）：代理工具链是一项真实的维护信号，但完全不具备的仓库仍可达到 100/100。
43
AI 代理上下文与指引
40薄弱
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 — 91 次人类提交中有 69 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.758 |
| 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 |
| 11/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 0/10 | 可复现环境 |
| 0/10 | 已体现的代理实践 — 最近 100 次提交中没有代理编写的提交 |
| 8/8 | 自动化维护 — 最近 100 次提交中有 9 次为自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.09 |
面向模型的代码可读性
55中等
评分方式
| 0/45 | 可类型检查的代码 — Python，未配置类型检查 |
| 55/55 | 可控的文件大小 — 采样的 59 个源文件中有 0 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 53,506 |
| source_files_sampled | 59 |
| oversized_source_files | 0 |
机器可读接口
40薄弱
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples |
所用输入
| example_dirs | examples |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
22GitHub 星标
15贡献者
148最近 12 个月提交数
5距最近推送天数
23发布版本数
1巴士系数（bus factor）
26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 ★ / 18 ⇿
0Star
18Fork
21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。
主版本 0次版本 10修订 2
每个点涵盖 4 天。
OpenSSF Scorecard 6.4 / 10
6.4综合
来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 不适用 | Branch-Protection | internal error: error during GetBranch(main): error during branchesHandler.query: 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 |
| 10 | CI-Tests | 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 15/19 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 5 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
直接依赖 6
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | pyprecice | >=3.2 | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | mpi4py | — | pyproject.toml |
| PyPI | psutil | — | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
全部依赖 6
来自 GitHub 依赖图的完整解析依赖集合：6 个直接依赖与 0 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 |
|---|---|---|---|
| PyPI | mpi4py | — | 直接 |
| PyPI | numpy | — | 直接 |
| PyPI | packaging | — | 直接 |
| PyPI | psutil | — | 直接 |
| PyPI | pyprecice | — | 直接 |
| PyPI | scipy | — | 直接 |
依赖安全公告 0
安装 pypi:micro-manager-precice@0.11.1 会引入 6 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
{
"data": {
"repo": {
"topics": [
"coupling",
"macro-micro",
"multiphysics",
"multiscale",
"research-and-development"
],
"is_fork": false,
"size_kb": 2481,
"has_wiki": true,
"homepage": null,
"languages": {
"Shell": 209,
"Python": 557613
},
"pushed_at": "2026-07-27T08:35:16Z",
"created_at": "2022-05-09T08:52:58Z",
"owner_type": "Organization",
"updated_at": "2026-07-27T08:35:27Z",
"description": "A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "LGPL-3.0",
"default_branch": "develop",
"license_spdx_raw": "LGPL-3.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://precice.org",
"name": "preCICE",
"type": "Organization",
"login": "precice",
"company": null,
"location": "Germany",
"followers": 257,
"avatar_url": "https://avatars.githubusercontent.com/u/12561035?v=4",
"created_at": "2015-05-22T14:03:02Z",
"is_verified": null,
"public_repos": 64,
"account_age_days": 4089
},
"license": {
"state": "standard",
"spdx_id": "LGPL-3.0",
"raw_spdx": "LGPL-3.0",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v0.11.1",
"kind": "patch",
"published_at": "2026-07-13T18:36:26Z"
},
{
"tag": "v0.11.0",
"kind": "minor",
"published_at": "2026-07-13T14:25:35Z"
},
{
"tag": "v0.10.1",
"kind": "patch",
"published_at": "2026-05-27T16:54:55Z"
},
{
"tag": "v0.10.0",
"kind": "minor",
"published_at": "2026-05-26T16:03:05Z"
},
{
"tag": "v0.9.0",
"kind": "minor",
"published_at": "2026-04-15T14:54:13Z"
},
{
"tag": "v0.8.0",
"kind": "minor",
"published_at": "2026-01-23T09:31:16Z"
},
{
"tag": "v0.7.0",
"kind": "minor",
"published_at": "2025-08-06T12:13:10Z"
},
{
"tag": "v0.7.0rc1",
"kind": "other",
"published_at": "2025-08-06T11:28:55Z"
},
{
"tag": "v0.6.0",
"kind": "minor",
"published_at": "2025-04-02T14:53:20Z"
},
{
"tag": "v0.5.0",
"kind": "minor",
"published_at": "2024-08-16T13:17:06Z"
},
{
"tag": "v0.5.0rc5",
"kind": "other",
"published_at": "2024-05-23T19:11:29Z"
},
{
"tag": "v0.5.0rc4",
"kind": "other",
"published_at": "2024-05-23T16:16:15Z"
},
{
"tag": "v0.5.0rc3",
"kind": "other",
"published_at": "2024-05-23T15:58:28Z"
},
{
"tag": "v0.5.0rc2",
"kind": "other",
"published_at": "2024-05-23T11:04:04Z"
},
{
"tag": "v0.5.0rc1",
"kind": "other",
"published_at": "2024-05-23T09:14:51Z"
},
{
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"body": "* Fix the adaptivity data check\n\n* Fix adaptivity checks\n\n* Move changelog\n\n* Formatting\n\n---------\n\nCo-authored-by: Ishaan Desai <ishaandesai@gmail.com>",
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"headline": "Fix the adaptivity data check (#261)",
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"headline": "Fix model adaptivity infinite loop at resolution boundary (#252)",
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"headline": "Merge pull request #247 from precice/dummy-compatibility",
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"body": "…e the macro-scale coordinates (#243)\n\n* Add a non-uniform domain decomposition variant based on geometric progession\n\n* Add config option for nonuniform domain decomposition\n\n* Use correct keyword: nonuniform\n\n* Remove unnecessary bracket\n\n* Change the zero sims on rank case from Exception to a war\n[…]\n rank does not have any simulations but lazy initialization is done\n\n* Add changelog entry\n\n* Add new configuration parameters to docs\n\n* Simplify calculation of uniform bounds in domain decomposition",
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"headline": "Fix comparison of zero values of type float32 and float64 in simulati…",
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"body": "…ation (#241)\n\n* Optimize relative norm calculation by not calculating intermediate arrays\n\n* Do not copy adaptivity data if it is already a NumPy array\n\n* Handle lazy initialization when there are no active sims on a rank\n\n* Replace empty dict check with empty list check\n\n* Fix lazy init conditiona\n[…]\n783301+Snapex2409@users.noreply.github.com>\n\n* Dix syntax error\n\n* Apply optimization to L2 relative norm function\n\n---------\n\nCo-authored-by: Alex Hocks <73783301+Snapex2409@users.noreply.github.com>",
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"headline": "Memory optimizations to norm calculations and a fix to lazy initializ…",
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"body": "* Make type extensions compatible with Python 3.8.11 because that is what SuperMUC has\n\n* Remove tuple type hint\n\n* Fix simulation output collection when doing lazy initialization with micro data in adaptivity\n\n* Add temporary logging for diagnostic\n\n* Fix lazy initialization when ranks do not have \n[…]\nemove some of the unnecessary fixes from the supermuc branch\n\n* Remove a boolean that is no longer required\n\n* Add changelog entry\n\n* Remove duplicate check for output functionality of MicroSimulation",
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"headline": "Fix lazy initialization (#238)",
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"body": "…70 (#221)\n\n* Add dependency checks with clear error messages on missing packages\n\n* fix: move dependency check to CLI entrypoint instead of module load\n\n* fix: add version checks, move dependency check to --test-dependencies CLI flag, replace unit tests with pip install workflow\n\n* fix: use precice\n[…]\nml directly\n\n* fix: skip optional extras when checking dependencies\n\n* fix: move Version import to top of function, add changelog entry\n\n---------\n\nCo-authored-by: Ishaan Desai <ishaandesai@gmail.com>",
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"body": "…ptivity (#234)\n\n* Fix #73: avoid division-by-zero warning in L1rel/L2rel adaptivity\n\n- Add epsilon to denominator in _l1rel and _l2rel to prevent invalid value warning when data contains zeros\n- Add regression test test_adaptivity_norms_with_zeros_no_warning\n\n* Fix #73: avoid division-by-zero warni\n[…]\npy\n\nCo-authored-by: Ishaan Desai <ishaan.desai@ipvs.uni-stuttgart.de>\n\n---------\n\nCo-authored-by: Ishaan Desai <ishaandesai@gmail.com>\nCo-authored-by: Ishaan Desai <ishaan.desai@ipvs.uni-stuttgart.de>",
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"headline": "Avoid division-by-zero warning in L1rel/L2rel norm calculation in ada…",
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"headline": "Fix duplicate micro simulations for macro-points on rank boundaries (…",
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"body": "…er subclassing #65 (#224)\n\n* feat: expose MicroSimulationInterface as public abstract base class for user subclassing\n\n* fix: use deprecation warning instead of hard error for missing interface inheritance\n\n* fix: address review comments on MicroSimulationInterface\n\n* fix: safer class-level check f\n[…]\nuggestions and rename compatibility wrapper\n\n* Fixed Failing Test\n\n* Add changelog entry\n\n---------\n\nCo-authored-by: Alex Hocks <alex.hocks@tum.de>\nCo-authored-by: Ishaan Desai <ishaandesai@gmail.com>",
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"headline": " Expose MicroSimulationInterface as public abstract base class for us…",
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"status": "met",
"details": [
{
"code": "owner_organization",
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}
],
"max_points": 30
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{
"key": "verified_domain",
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"detail": null,
"points": 0,
"status": "missed",
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},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "257 followers of precice",
"points": 17.3,
"status": "partial",
"details": [
{
"code": "owner_followers",
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"count": 257,
"login": "precice"
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}
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{
"key": "track_record",
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"detail": "64 public repos, account ~11 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
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"count": 64
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},
{
"code": "account_age_years",
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"years": 11
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]
},
{
"key": "package_maintenance",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"ecosystems": "pypi",
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"components": [
{
"key": "published_resolvable",
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"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
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{
"key": "publish_recency",
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"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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],
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{
"key": "version_history",
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"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
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}
],
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{
"key": "not_deprecated",
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],
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},
{
"key": "engineering",
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"name": "Engineering Quality",
"value": 90,
"weight": 0.19,
"metrics": [
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"key": "engineering_practices",
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"note": null,
"notes": [],
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"has_linter_config": true,
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"components": [
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"key": "ci_workflows",
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"detail": "13 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
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],
"max_points": 24
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{
"key": "tests_present",
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"points": 24,
"status": "met",
"details": [],
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{
"key": "linter_config",
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"points": 16,
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{
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{
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 85,
"inputs": {
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"details": [],
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{
"key": "documentation_directory",
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"points": 25,
"status": "met",
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{
"key": "documentation_homepage_site",
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"detail": null,
"points": 0,
"status": "missed",
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{
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"detail": null,
"points": 10,
"status": "met",
"details": [],
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{
"key": "topics",
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"points": 10,
"status": "met",
"details": [
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"code": "topics_count",
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
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{
"key": "security",
"band": "good",
"name": "Security",
"value": 71,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"notes": [
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"code": "excluded_no_data",
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"components": [
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},
{
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"inputs": {
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"points": 7.5,
"status": "met",
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during GetBranch(main): error during branchesHandler.query: 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",
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{
"key": "ci_tests",
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"points": 2.5,
"status": "met",
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},
{
"key": "cii_best_practices",
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"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
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},
{
"key": "code_review",
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"points": 5.2,
"status": "partial",
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
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},
{
"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 18 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",
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"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "security_policy",
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"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",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "exceptional",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:micro-manager-precice@0.11.1 runtime dependency closure — what installing the published package pulls in — 6 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
"params": {
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},
{
"code": "weights_renormalized",
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},
{
"code": "advisories_scope_published",
"params": {
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"assessed": 6
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},
{
"code": "advisories_reachability",
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}
],
"value": 100,
"inputs": {
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 6,
"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": [
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"code": "no_direct_advisories",
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}
],
"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": [
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}
],
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},
{
"key": "no_advisories_left_outstanding",
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"points": 0,
"status": "excluded",
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],
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]
},
{
"key": "malicious_dependencies",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"assessed_packages": 6,
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"direct_malicious_packages": 0,
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"installable_malicious_packages": 0
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},
{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"components": [
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}
],
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]
}
],
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{
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"weight": 0.04,
"metrics": [
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"inputs": {
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"agent_instruction_max_bytes": null
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"components": [
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"status": "missed",
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],
"max_points": 45
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 40,
"status": "met",
"details": [
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"code": "legible_history",
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]
},
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"key": "ai_verify_loop",
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"note": null,
"notes": [],
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"lockfiles": [],
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"toolchain_manifests": [],
"dependency_bot_commit_share": 0.09
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"components": [
{
"key": "one_command_bootstrap",
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"detail": null,
"points": 0,
"status": "missed",
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},
{
"key": "automated_tests",
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"points": 22,
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{
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{
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{
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"points": 0,
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{
"key": "demonstrated_agent_practice",
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{
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],
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},
{
"key": "openssf_scorecard_pinned_dependencies",
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{
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"note": null,
"notes": [],
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"inputs": {
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"largest_source_bytes": 53506,
"source_files_sampled": 59,
"oversized_source_files": 0
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"components": [
{
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"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
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"params": {
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],
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},
{
"key": "manageable_file_sizes",
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"points": 55,
"status": "met",
"details": [
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]
},
{
"key": "ai_interfaces",
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"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
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"api_schema_files": []
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"components": [
{
"key": "api_schema_openapi_graphql_proto",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "mcp_server",
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"detail": null,
"points": 0,
"status": "missed",
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},
{
"key": "runnable_examples",
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"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
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],
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}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
"labels": [
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"scores": {
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"primary": "library",
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"tier": "distribution",
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"source": "registry:pypi",
"weight": 6
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],
"artifacts": [],
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"host_extension": false,
"runs_as_process": false,
"consumed_by_code": true
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"metrics_version": "2.3.1"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-08-01T16:25:19.638805Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/precice/micro-manager.svg",
"full_name": "precice/micro-manager",
"license_state": "standard",
"license_spdx": "LGPL-3.0"
}