公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-23 17:49 UTC

PreferredAI / cornac

A Comparative Framework for Multimodal Recommender Systems

Python · Cython · C++Apache-2.0★ 1,052 星标⑂ 171 复刻始于 2018年7月在 GitHub 上查看 ↗

PreferredAI/cornac 的健康指数为 100 分中的 65 分,处于「中等」区间。 其得分最高的类别是Vitality(78/100),最低的是Security(18/100)。 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。

65
总分 / 100
中等

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 49(有风险)的上限。AI 就绪度不计入总体分。

65
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

62 关注者52 个公开仓库始于 2017年11月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

软件包生态系统

注册表软件包版本月下载量版本数最近发布标签
PyPIcornac2.6.0-688 天前recommender-systemcollaborative-filteringmultimodalpreference-learningrecommendation

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?

78良好 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 5 天前
11.1/36提交节奏 — 52 周中有 16 周有提交
14.1/18提交量 — 最近一年 36 次提交
0/10OpenSSF Scorecard:Maintained — 无数据
所用输入
commits_last_year36
human_commit_share1
days_since_last_push5
active_weeks_last_year16

发布纪律

92优秀
评分方式
27/27有发布版本 — 已发布 63 个发布版本
36/36发布时效 — 最近一次发布版本于 8 天前
19.8/27发布节奏 — 约每 77.7 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count63
latest_release_tagv2.6.0
releases_from_tags
days_since_latest_release8
mean_days_between_releases77.7

社区与采用

项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?

70良好 · 占总体的 18%
评分方式
49/60星标 — 1,052 个星标
18.6/25复刻 — 171 个复刻
7.4/15关注者 — 22 位关注者
所用输入
forks171
stars1,052
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

65中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(Apache-2.0)
0/18CONTRIBUTING 指南
0/13.5行为准则
7.2/7.2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

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?

70良好 · 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
10.6/22.5提交分布 — 头号贡献者编写了 53% 的提交
13.5/13.5贡献者广度 — 27 位贡献者
0/10OpenSSF Scorecard:Contributors — 无数据
所用输入
bus_factor1
contributors_sampled27
top_contributor_share0.527
评分方式
40/46.8议题解决 — 86% 的议题已关闭
34.8/38.3PR 接受 — 已裁定的 PR 中 487/536 已合并
0/15OpenSSF Scorecard:Code-Review — 无数据
所用输入
merged_prs487
open_issues25
closed_issues148
issue_closed_ratio0.855
closed_unmerged_prs49
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
12.9/25所有者影响力 — PreferredAI 有 62 位关注者
24.6/25既往记录 — 52 个公开仓库,账户约 8 年
所用输入
followers62
owner_typeOrganization
is_verified
owner_loginPreferredAI
public_repos52
account_age_days3,157
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 8 天前
20/20版本历史 — 68 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
packagescornac
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?

76良好 · 占总体的 20%

工程实践

60中等
评分方式
24/24CI 工作流 — 5 个工作流
24/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
0/20OpenSSF Scorecard:CI-Tests — 无数据
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://cornac.preferred.ai
10/10仓库描述
10/10主题标签 — 8 个主题标签
10/10Wiki
所用输入
topicsrecommender-system, recommendation-algorithms, recommendation-engine, matrix-factorization, collaborative-filtering, multimodal-learning, recommendation-system, multimodality
has_wiki
homepagehttps://cornac.preferred.ai
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?

18危急 · 占总体的 16%
评分方式
0/30安全策略(SECURITY.md)
0/25Dependabot 配置
0/25依赖锁定文件 — 已发布的类库——锁定文件属于应用层关注点,不作要求
0/20CodeQL 工作流
所用输入
sourcefile_signals
lockfiles
manifestsdocs/requirements.txt, pyproject.toml, requirements.txt, setup.cfg, setup.py
has_codeql_workflow
has_security_policy
has_dependabot_config
已排除计分(无数据或不适用):依赖锁定文件。 其余权重已重新归一化。
评分方式
26.6/35直接依赖不含已知公告 — 1 个受影响:scipy 1.2.1 (unknown)
0/25间接依赖不含已知公告 — 在此范围内,传递依赖集合无法与开发和测试依赖区分
37.2/40没有长期未处理的公告 — 1 个携带公告的软件包超过 90 天未处理;最早一条发布于 1,114 天前
所用输入
sourceosv
advisories755
affected_packages7
assessed_packages12
unassessed_packages28
affected_by_severitycritical 3, moderate 1, unknown 3
direct_affected_packages1
已排除计分(无数据或不适用):间接依赖不含已知公告。 其余权重已重新归一化。 已将 12 个已解析依赖与 OSV 比对。 有 28 项无法评估——没有已解析的版本、生态系统不受支持,或超出所报告的软件包清单。 该仓库未发布任何索引可解析的软件包,因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起,因此仅对声明的运行时依赖计分;传递性发现仅作为背景信息列出,不计入评分。 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。

50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)
37.9/40可读的提交历史 — 100 次人类提交中有 71 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_share0.71
agent_instruction_files
agent_instruction_max_bytes
评分方式
18/18一条命令的引导启动 — docs/Makefile
22/22自动化测试
0/11Lint / 格式化配置
0/11静态类型检查
10/10可复现环境 — Dockerfile
4/10已体现的代理实践 — 最近 100 次提交中有 2 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 — 无数据
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_filesdocs/Makefile
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0.02
toolchain_manifests
dependency_bot_commit_share0
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
54.3/55可控的文件大小 — 采样的 3,562 个源文件中有 44 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes1,058,368
source_files_sampled3,562
oversized_source_files44

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 — examples, notebooks
所用输入
example_dirsexamples, notebooks
has_mcp_signal
api_schema_files

关键数据

1,052GitHub 星标
27贡献者
36最近 12 个月提交数
5距最近推送天数
63发布版本数
1巴士系数(bus factor)
25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 'cornac.models.c2pf.c2pf' from its registry
  • deps.dev does not index pypi:cornac@2.6.0; advisories assessed against the repository dependency graph instead
  • Advisory severity resolved for 120 of 752 advisories (lookup cap); the remainder are reported as unknown severity
  • OpenSSF Scorecard did not return a usable result (2026/07/23 17:48:33 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

更多细节

Star 与 Fork 历史 0 ★ / 171 ⇿
0Star
171Fork
62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。

0408012016020016862018-102022-082026-07
主版本 2次版本 25修订 34

每个点涵盖 8 天。

直接依赖 4
注册表软件包版本约束清单文件
PyPInumpy>2.0.0pyproject.toml
PyPIscipypyproject.toml
PyPItqdmpyproject.toml
PyPIpowerlawpyproject.toml
全部依赖 40

来自 GitHub 依赖图的完整解析依赖集合:5 个直接依赖与 35 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
PyPInumpy直接
PyPIpowerlaw直接
PyPIscipy直接
PyPIscipy1.2.1直接
PyPItqdm直接
PyPIcython间接
PyPIdcor间接
PyPIdgl间接
PyPIdgl1.1.0间接
PyPIdgl2.4.0间接
PyPIdgl2.4.0+cu118间接
PyPIfilelock3.8.2间接
PyPIflask间接
PyPIhuggingface-hub间接
PyPImyst-parser间接
PyPInltk间接
PyPIpandas间接
PyPIpandas2.2.3间接
PyPIpydata-sphinx-theme间接
PyPIpytest间接
PyPIpytest-cov间接
PyPIpytest-xdist间接
PyPIrequests间接
PyPIsansa间接
PyPIscikit-learn间接
PyPIsentence-transformers间接
PyPIsentence-transformers2.2.2间接
PyPIsetuptools间接
PyPIsimilaripy0.1.3间接
PyPIsphinx-copybutton间接
PyPIsphinx-design间接
PyPItensorflow间接
PyPItensorflow1.15.4间接
PyPItensorflow2.12.0间接
PyPItensorflow2.21.0间接
PyPItorch间接
PyPItorch2.0.0间接
PyPItorch2.3.*间接
PyPItorchvision间接
PyPItransformers间接
依赖安全公告 7

该仓库未发布可被索引解析的包,因此评估的是其自身的依赖图——共 12 个包,其中也包含从不交付的开发与测试版本固定:7 个存在已知公告,1 个为直接依赖。 有 28 个无法评估——没有已解析的版本、生态系统不受支持,或不在所列包清单之内。

软件包版本关系严重程度公告数修复版本
dgl1.1.0间接严重1
dgl2.4.0间接严重1
tensorflow1.15.4间接严重7172.11.1
filelock3.8.2间接43.20.3
scipy1.2.1直接未知21.10.0
tensorflow2.12.0间接未知2
torch2.0.0间接未知28

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": [
        "recommender-system",
        "recommendation-algorithms",
        "recommendation-engine",
        "matrix-factorization",
        "collaborative-filtering",
        "multimodal-learning",
        "recommendation-system",
        "multimodality"
      ],
      "is_fork": false,
      "size_kb": 27772,
      "has_wiki": true,
      "homepage": "https://cornac.preferred.ai",
      "languages": {
        "C": 5411,
        "C++": 226189,
        "Cython": 336665,
        "Python": 1596320,
        "Dockerfile": 981,
        "Jupyter Notebook": 89405
      },
      "pushed_at": "2026-07-18T09:55:42Z",
      "created_at": "2018-07-17T06:31:35Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-18T09:55:47Z",
      "description": "A Comparative Framework for Multimodal Recommender Systems",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "master",
      "license_spdx_raw": "Apache-2.0",
      "primary_language": "Python",
      "significant_languages": [
        "Python",
        "Cython",
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    "owner": {
      "blog": "http://preferred.ai",
      "name": "Preferred.AI",
      "type": "Organization",
      "login": "PreferredAI",
      "company": null,
      "location": null,
      "followers": 62,
      "avatar_url": "https://avatars.githubusercontent.com/u/34116599?v=4",
      "created_at": "2017-11-30T03:19:49Z",
      "is_verified": null,
      "public_repos": 52,
      "account_age_days": 3157
    },
    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
      "raw_spdx": "Apache-2.0",
      "file_present": true,
      "scorecard_found": null,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v2.6.0",
          "kind": "minor",
          "published_at": "2026-07-15T05:56:27Z"
        },
        {
          "tag": "v2.5.0",
          "kind": "minor",
          "published_at": "2026-06-04T14:57:06Z"
        },
        {
          "tag": "v2.4.0",
          "kind": "minor",
          "published_at": "2026-05-27T16:43:47Z"
        },
        {
          "tag": "v2.3.5",
          "kind": "patch",
          "published_at": "2025-10-04T22:15:55Z"
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        {
          "tag": "v2.3.4",
          "kind": "patch",
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          "tag": "v2.3.3",
          "kind": "patch",
          "published_at": "2025-04-26T17:10:43Z"
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          "tag": "v2.3.2",
          "kind": "patch",
          "published_at": "2025-04-15T05:57:39Z"
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          "tag": "v2.3.1",
          "kind": "patch",
          "published_at": "2025-04-15T00:30:15Z"
        },
        {
          "tag": "v2.3.0",
          "kind": "minor",
          "published_at": "2024-12-24T18:14:45Z"
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        {
          "tag": "v2.2.2",
          "kind": "patch",
          "published_at": "2024-08-15T06:25:57Z"
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          "tag": "v2.2.1",
          "kind": "patch",
          "published_at": "2024-05-24T10:07:10Z"
        },
        {
          "tag": "v2.2.0",
          "kind": "minor",
          "published_at": "2024-05-06T22:24:15Z"
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        {
          "tag": "v2.1.0",
          "kind": "minor",
          "published_at": "2024-03-21T07:26:15Z"
        },
        {
          "tag": "v2.0.0",
          "kind": "major",
          "published_at": "2024-03-05T06:52:53Z"
        },
        {
          "tag": "v1.18.0",
          "kind": "minor",
          "published_at": "2023-12-12T07:49:26Z"
        },
        {
          "tag": "v1.17.0",
          "kind": "minor",
          "published_at": "2023-10-20T02:59:14Z"
        },
        {
          "tag": "v1.16.0",
          "kind": "minor",
          "published_at": "2023-07-22T18:22:54Z"
        },
        {
          "tag": "v1.15.4",
          "kind": "patch",
          "published_at": "2023-05-13T06:40:19Z"
        },
        {
          "tag": "v1.15.3",
          "kind": "patch",
          "published_at": "2023-05-13T05:51:19Z"
        },
        {
          "tag": "v1.15.2",
          "kind": "patch",
          "published_at": "2023-05-12T21:10:01Z"
        },
        {
          "tag": "v1.15.1",
          "kind": "patch",
          "published_at": "2023-04-16T03:27:20Z"
        },
        {
          "tag": "v1.15.0",
          "kind": "minor",
          "published_at": "2023-04-01T18:58:12Z"
        },
        {
          "tag": "v1.14.2",
          "kind": "patch",
          "published_at": "2022-02-19T03:37:13Z"
        },
        {
          "tag": "v1.14.1",
          "kind": "patch",
          "published_at": "2021-09-26T07:01:44Z"
        },
        {
          "tag": "v1.14.0",
          "kind": "minor",
          "published_at": "2021-09-17T03:14:47Z"
        },
        {
          "tag": "v1.13.5",
          "kind": "patch",
          "published_at": "2021-07-13T09:51:11Z"
        },
        {
          "tag": "v1.13.4",
          "kind": "patch",
          "published_at": "2021-07-12T14:42:54Z"
        },
        {
          "tag": "v1.13.3",
          "kind": "patch",
          "published_at": "2021-07-12T07:40:28Z"
        },
        {
          "tag": "v1.13.2",
          "kind": "patch",
          "published_at": "2021-07-12T07:12:41Z"
        },
        {
          "tag": "v1.13.1",
          "kind": "patch",
          "published_at": "2021-07-11T06:03:39Z"
        },
        {
          "tag": "v1.13.0f",
          "kind": "other",
          "published_at": "2021-07-09T15:55:11Z"
        },
        {
          "tag": "v1.12.0",
          "kind": "minor",
          "published_at": "2021-03-30T03:20:12Z"
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        ],
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            "value": 1,
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                "code": "advisories_reachability",
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                ],
                "max_points": 35
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                "status": "excluded",
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                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 1114 days ago",
                "points": 37.2,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_stale",
                    "params": {
                      "days": 90,
                      "count": 1,
                      "oldest": 1114
                    }
                  }
                ],
                "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": 12,
              "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": 3
            },
            "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": 50,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 38,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.71,
              "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": "71 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 37.9,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 71,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0.02,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "2 of the last 100 commits agent-authored or agent-credited",
                "points": 4,
                "status": "partial",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 2,
                      "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": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 1058368,
              "source_files_sampled": 3562,
              "oversized_source_files": 44
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "44/3562 source files over 60KB",
                "points": 54.3,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 3562,
                      "oversized": 44
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "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": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, 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 'cornac.models.c2pf.c2pf' from its registry",
    "deps.dev does not index pypi:cornac@2.6.0; advisories assessed against the repository dependency graph instead",
    "Advisory severity resolved for 120 of 752 advisories (lookup cap); the remainder are reported as unknown severity",
    "OpenSSF Scorecard did not return a usable result (2026/07/23 17:48:33 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-23T17:49:19.916297Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PreferredAI/cornac.svg",
  "full_name": "PreferredAI/cornac",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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.