公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-24 02:11 UTC

SampleEnvironment / secop-ophyd

Integration of the SECoP field layer onto ophyd

PythonGPL-3.0★ 2 星标⑂ 1 复刻始于 2023年10月在 GitHub 上查看 ↗

SampleEnvironment/secop-ophyd 的健康指数为 100 分中的 59 分,处于「中等」区间。 其得分最高的类别是Engineering Quality(87/100),最低的是Community & Adoption(24/100)。 最近一次更新在 6 天前。 近期的大部分工作由 1 位贡献者完成。

59
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。

59
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

2 关注者15 个公开仓库始于 2017年7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
PyPIsecop-ophyd0.19.3-199 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?

77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 6 天前
10.4/36提交节奏 — 52 周中有 15 周有提交
13.1/18提交量 — 最近一年 28 次提交
2/10OpenSSF Scorecard:Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
所用输入
commits_last_year28
human_commit_share1
days_since_last_push6
active_weeks_last_year15

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 34 个发布版本
36/36发布时效 — 最近一次发布版本于 9 天前
27/27发布节奏 — 约每 31.6 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count34
latest_release_tagv0.19.3
releases_from_tags
days_since_latest_release9
mean_days_between_releases31.6
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?

24危急 · 占总体的 18%
评分方式
0/60星标 — 2 个星标
0/25复刻 — 1 个复刻
1.7/15关注者 — 3 位关注者
所用输入
forks1
stars2
watchers3
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(GPL-3.0)
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

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?

52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
0/22.5提交分布 — 头号贡献者编写了 100% 的提交
1.4/13.5贡献者广度 — 1 位贡献者
0/10OpenSSF Scorecard:Contributors — project has 0 contributing companies or organizations -- score normalized to 0
所用输入
bus_factor1
contributors_sampled1
top_contributor_share1
评分方式
27.5/46.8议题解决 — 59% 的议题已关闭
36.6/38.3PR 接受 — 已裁定的 PR 中 45/47 已合并
0/15OpenSSF Scorecard:Code-Review — Found 0/30 approved changesets -- score normalized to 0
所用输入
merged_prs45
open_issues7
closed_issues10
issue_closed_ratio0.588
closed_unmerged_prs2
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
3.4/25所有者影响力 — SampleEnvironment 有 2 位关注者
20.8/25既往记录 — 15 个公开仓库,账户约 9 年
所用输入
followers2
owner_typeOrganization
is_verified
owner_loginSampleEnvironment
public_repos15
account_age_days3,300
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 9 天前
20/20版本历史 — 19 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
packagessecop-ophyd
ecosystemspypi
any_deprecated
min_days_since_publish9

工程质量

基础的工程与文档实践是否到位?

87优秀 · 占总体的 20%

工程实践

92优秀
评分方式
24/24CI 工作流 — 1 个工作流
24/24存在测试
16/16Linter 配置 — .flake8
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
18/20OpenSSF Scorecard:CI-Tests — 24 out of 25 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

80良好
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://sampleenvironment.github.io/secop-ophyd/
10/10仓库描述
0/10主题标签
0/10Wiki
所用输入
topics
has_wiki
homepagehttps://sampleenvironment.github.io/secop-ophyd/
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?

52中等 · 占总体的 16%

安全态势

40存在风险
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 — 24 out of 25 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
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
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
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4
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
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
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_packages152
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):间接依赖不含已知公告, 没有长期未处理的公告。 其余权重已重新归一化。 已将 152 个已解析依赖与 OSV 比对。 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。

56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)
22.4/40可读的提交历史 — 100 次人类提交中有 42 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_share0.42
agent_instruction_files
agent_instruction_max_bytes
评分方式
18/18一条命令的引导启动 — docs/Makefile, makefile
22/22自动化测试
11/11Lint / 格式化配置 — .flake8
11/11静态类型检查 — .mypy.ini
10/10可复现环境 — lockfile
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
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
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_filesdocs/Makefile, makefile
has_devcontainer
has_linter_config
typecheck_configs.mypy.ini
agent_commit_share0
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(.mypy.ini)
55/55可控的文件大小 — 采样的 28 个源文件中有 0 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes37,296
source_files_sampled28
oversized_source_files0

关键数据

2GitHub 星标
1贡献者
28最近 12 个月提交数
6距最近推送天数
34发布版本数
1巴士系数(bus factor)
7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
  • deps.dev does not index pypi:secop-ophyd@0.19.3; advisories assessed against the repository dependency graph instead

更多细节

OpenSSF Scorecard 4.0 / 10
4.0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 · 2026-07-24 02:11 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-Tests24 out of 25 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 5
注册表软件包版本约束清单文件
PyPIophyd-async(>0.18,<=0.19.3)pyproject.toml
PyPIfrappy-core>= 0.20.8pyproject.toml
PyPIblackpyproject.toml
PyPIJinja2pyproject.toml
PyPIautoflakepyproject.toml
全部依赖 152

来自 GitHub 依赖图的完整解析依赖集合:5 个直接依赖与 147 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
PyPIautoflake2.3.3直接
PyPIblack26.5.1直接
PyPIfrappy-core0.20.8直接
PyPIjinja23.1.6直接
PyPIophyd-async0.19.3直接
PyPIaccessible-pygments0.0.5间接
PyPIalabaster1.0.0间接
PyPIannotated-types0.7.0间接
PyPIappnope0.1.4间接
PyPIast-serialize0.6.0间接
PyPIastroid3.3.11间接
PyPIasttokens3.0.1间接
PyPIattrs26.1.0间接
PyPIbabel2.18.0间接
PyPIbeautifulsoup44.15.0间接
PyPIbluesky1.15.1间接
PyPIcertifi2026.6.17间接
PyPIcffi2.1.0间接
PyPIcfgv3.5.0间接
PyPIcharset-normalizer3.4.7间接
PyPIclick8.4.2间接
PyPIcolorama0.4.6间接
PyPIcolorlog6.10.1间接
PyPIcomm0.2.3间接
PyPIcompress-pickle2.1.0间接
PyPIcontourpy1.3.3间接
PyPIcoverage7.15.0间接
PyPIcycler0.12.1间接
PyPIdebugpy1.8.21间接
PyPIdecorator5.3.1间接
PyPIdistlib0.4.3间接
PyPIdocutils0.22.4间接
PyPIevent-model1.24.0间接
PyPIexecuting2.2.1间接
PyPIfilelock3.29.6间接
PyPIflake87.3.0间接
PyPIflexcache0.3间接
PyPIflexparser0.4间接
PyPIfonttools4.63.0间接
PyPIhistorydict1.2.6间接
PyPIidentify2.6.19间接
PyPIidna3.18间接
PyPIimagesize2.0.0间接
PyPIiniconfig2.3.0间接
PyPIipykernel7.3.0间接
PyPIipython9.15.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIisort8.0.1间接
PyPIjedi0.20.0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
PyPIkiwisolver1.5.0间接
PyPIlibrt0.12.0间接
PyPIlockfile0.12.2间接
PyPIlz44.4.5间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib3.11.0间接
PyPImatplotlib-inline0.2.2间接
PyPImccabe0.7.0间接
PyPImdit-py-plugins0.6.1间接
PyPImdurl0.1.2间接
PyPImlzlog0.5.0间接
PyPImsgpack1.2.1间接
PyPImsgpack-numpy0.4.8间接
PyPImypy2.1.0间接
PyPImypy-extensions1.1.0间接
PyPImyst-parser5.1.0间接
PyPInest-asyncio21.7.2间接
PyPInetworkx3.6.1间接
PyPInodeenv1.10.0间接
PyPInumpy2.4.6间接
PyPInumpy2.5.1间接
PyPInumpydoc1.10.0间接
PyPIopentelemetry-api1.43.0间接
PyPIophyd1.11.2间接
PyPIpackaging26.2间接
PyPIparso0.8.7间接
PyPIpathspec1.1.1间接
PyPIpep8-naming0.15.1间接
PyPIpexpect4.9.0间接
PyPIpillow12.3.0间接
PyPIpint0.25.3间接
PyPIplatformdirs4.10.0间接
PyPIpluggy1.6.0间接
PyPIpre-commit4.6.0间接
PyPIprompt-toolkit3.0.52间接
PyPIpsutil7.2.2间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpycodestyle2.14.0间接
PyPIpycparser3.0间接
PyPIpydantic2.13.4间接
PyPIpydantic-core2.46.4间接
PyPIpydantic-numpy8.0.1间接
PyPIpydata-sphinx-theme0.19.0间接
PyPIpyflakes3.4.0间接
PyPIpygments2.20.0间接
PyPIpyparsing3.3.2间接
PyPIpyserial3.5间接
PyPIpytest9.1.1间接
PyPIpytest-asyncio1.4.0间接
PyPIpytest-cov7.1.0间接
PyPIpytest-xprocess1.0.2间接
PyPIpython-daemon3.1.2间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.4.3间接
PyPIpython-dotenv1.2.2间接
PyPIpytokens0.4.1间接
PyPIpyyaml6.0.3间接
PyPIpyzmq27.1.0间接
PyPIreferencing0.37.0间接
PyPIrequests2.34.2间接
PyPIroman-numerals4.1.0间接
PyPIrpds-py2026.6.3间接
PyPIruamel-yaml0.18.17间接
PyPIruamel-yaml-clib0.2.15间接
PyPIscanspec1.0.0间接
PyPIsemver3.0.4间接
PyPIsix1.17.0间接
PyPIsnowballstemmer3.1.1间接
PyPIsoupsieve2.8.4间接
PyPIsphinx9.0.4间接
PyPIsphinx9.1.0间接
PyPIsphinx-autodoc20.5.0间接
PyPIsphinx-click6.2.0间接
PyPIsphinx-copybutton0.5.2间接
PyPIsphinx-design0.7.0间接
PyPIsphinxcontrib-applehelp2.0.0间接
PyPIsphinxcontrib-devhelp2.0.0间接
PyPIsphinxcontrib-htmlhelp2.1.0间接
PyPIsphinxcontrib-jsmath1.0.1间接
PyPIsphinxcontrib-mermaid2.0.2间接
PyPIsphinxcontrib-qthelp2.0.0间接
PyPIsphinxcontrib-serializinghtml2.0.0间接
PyPIstack-data0.6.3间接
PyPIstamina26.1.0间接
PyPItenacity9.1.4间接
PyPItomli2.4.1间接
PyPItoolz1.1.0间接
PyPItornado6.5.7间接
PyPItqdm4.68.4间接
PyPItraitlets5.15.1间接
PyPItyping-extensions4.16.0间接
PyPItyping-inspection0.4.2间接
PyPIurllib32.7.0间接
PyPIvelocity-profile1.0.0间接
PyPIvirtualenv21.6.0间接
PyPIwcwidth0.8.2间接
PyPIwheel0.47.0间接
依赖安全公告 0

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 152 个包,其中也包含从不交付的开发与测试版本固定: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": [],
      "is_fork": false,
      "size_kb": 2306,
      "has_wiki": false,
      "homepage": "https://sampleenvironment.github.io/secop-ophyd/",
      "languages": {
        "Jinja": 4790,
        "Python": 254267,
        "Makefile": 533
      },
      "pushed_at": "2026-07-17T09:15:39Z",
      "created_at": "2023-10-02T15:24:27Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-14T08:12:03Z",
      "description": "Integration of the SECoP field layer onto ophyd",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "GPL-3.0",
      "default_branch": "master",
      "license_spdx_raw": "GPL-3.0",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "http://sampleenvironment.org",
      "name": "International Society for Sample Environment",
      "type": "Organization",
      "login": "SampleEnvironment",
      "company": null,
      "location": null,
      "followers": 2,
      "avatar_url": "https://avatars.githubusercontent.com/u/30049555?v=4",
      "created_at": "2017-07-10T14:20:28Z",
      "is_verified": null,
      "public_repos": 15,
      "account_age_days": 3300
    },
    "license": {
      "state": "standard",
      "spdx_id": "GPL-3.0",
      "raw_spdx": "GPL-3.0",
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                "key": "openssf_scorecard_contributors",
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                "key": "ownership_backing",
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "key": "owner_reach",
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                "max_points": 25
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              {
                "key": "track_record",
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                "detail": "15 public repos, account ~9 yr old",
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                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
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                "max_points": 25
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          {
            "key": "package_maintenance",
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            "note": null,
            "notes": [],
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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "key": "version_history",
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                "key": "not_deprecated",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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                "key": "cii_best_practices",
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                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "key": "license",
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                "detail": "license file detected",
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                "key": "maintained",
                "name": "Maintained",
                "detail": "3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2",
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                "status": "partial",
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              {
                "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",
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              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
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              {
                "key": "security_policy",
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                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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                "status": "met",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "dependency_advisories",
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            "name": "Dependency advisories",
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            "notes": [
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                "code": "excluded_no_data",
                "params": {
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 152
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              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
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            ],
            "value": 100,
            "inputs": {
              "source": "osv",
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              "affected_packages": 0,
              "assessed_packages": 152,
              "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": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "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": 152,
              "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": 1
            },
            "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": 56,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 22,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.42,
              "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": "42 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 22.4,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 42,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 72,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "docs/Makefile",
                "makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                ".mypy.ini"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile, makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/Makefile, 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": ".flake8",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".flake8"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": ".mypy.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".mypy.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "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": 37296,
              "source_files_sampled": 28,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (.mypy.ini)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": ".mypy.ini",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/28 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 28,
                      "oversized": 0
                    }
                  }
                ],
                "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",
    "deps.dev does not index pypi:secop-ophyd@0.19.3; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-24T02:11:58.133797Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SampleEnvironment/secop-ophyd.svg",
  "full_name": "SampleEnvironment/secop-ophyd",
  "license_state": "standard",
  "license_spdx": "GPL-3.0"
}

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.