公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-29 02:07 UTC

flagos-ai / FlagGems

FlagGems is an operator library for large language models implemented in the Triton Language.

PythonApache-2.0★ 1,057 星标⑂ 473 复刻始于 2024年3月在 GitHub 上查看 ↗

flagos-ai/FlagGems 的健康指数为 100 分中的 85 分,处于「优秀」区间。 其得分最高的类别是Vitality(99/100),最低的是AI Readiness(55/100)。 最近一次更新在今天。 近期的大部分工作由 6 位贡献者完成。

85
总分 / 100
优秀

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。

85
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

FlagOS组织
248 关注者51 个公开仓库始于 2025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
PyPIflag_gems5.0.2-795 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?

99优秀 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
35.3/36提交节奏 — 52 周中有 51 周有提交
18/18提交量 — 最近一年 2,337 次提交
0/10OpenSSF Scorecard:Maintained — 无数据
所用输入
commits_last_year2,337
human_commit_share0.97
days_since_last_push0
active_weeks_last_year51

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 6 个发布版本
36/36发布时效 — 最近一次发布版本于 34 天前
27/27发布节奏 — 约每 34.1 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count6
latest_release_tagv5.3.0
releases_from_tags
days_since_latest_release34
mean_days_between_releases34.1

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?

85优秀 · 占总体的 18%
评分方式
49/60星标 — 1,057 个星标
22.3/25复刻 — 473 个复刻
6.7/15关注者 — 17 位关注者
所用输入
forks473
stars1,057
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

92优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(Apache-2.0)
18/18CONTRIBUTING 指南
13.5/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template

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?

76良好 · 占总体的 24%
评分方式
48.6/54巴士系数 — 6 位贡献者贡献了半数提交
15.9/22.5提交分布 — 头号贡献者编写了 29% 的提交
13.5/13.5贡献者广度 — 99 位贡献者
0/10OpenSSF Scorecard:Contributors — 无数据
所用输入
bus_factor6
contributors_sampled99
top_contributor_share0.294
评分方式
23.8/46.8议题解决 — 51% 的议题已关闭
27.6/38.3PR 接受 — 已裁定的 PR 中 2,869/3,981 已合并
0/15OpenSSF Scorecard:Code-Review — 无数据
所用输入
merged_prs2,869
open_issues313
closed_issues325
issue_closed_ratio0.509
closed_unmerged_prs1,112
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
17.2/25所有者影响力 — flagos-ai 有 248 位关注者
13.9/25既往记录 — 51 个公开仓库,账户约 0 年
所用输入
followers248
owner_typeOrganization
is_verified
owner_loginflagos-ai
public_repos51
account_age_days262
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 95 天前
20/20版本历史 — 7 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
packagesflag_gems
ecosystemspypi
any_deprecated
min_days_since_publish95

工程质量

基础的工程与文档实践是否到位?

85优秀 · 占总体的 20%

工程实践

92优秀
评分方式
24/24CI 工作流 — 16 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
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

75良好
评分方式
30/30README
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 — 3 个主题标签
0/10Wiki
所用输入
topicspytorch, triton, triton-kernels
has_wiki
homepage
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?

78良好 · 占总体的 16%

安全态势

73良好
评分方式
30/30安全策略(SECURITY.md)
25/25Dependabot 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
manifestscpp/pyproject.toml, pyproject.toml, 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
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages6
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:flag_gems@5.0.2 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?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。

55中等 · 占总体的 0%
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档(llms.txt)
40/40可读的提交历史 — 97 次人类提交中有 91 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_share0.938
agent_instruction_files
agent_instruction_max_bytes
评分方式
12.6/18一条命令的引导启动 — docs/themes/hugo-book/go.mod(工具链约定,无任务运行器)
22/22自动化测试
11/11Lint / 格式化配置
0/11静态类型检查
0/10可复现环境
10/10已体现的代理实践 — 最近 100 次提交中有 24 次由代理编写或署名代理
8/8自动化维护 — 最近 100 次提交中有 3 次为自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — 无数据
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0.24
toolchain_manifestsdocs/themes/hugo-book/go.mod
dependency_bot_commit_share0.03
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
54.7/55可控的文件大小 — 采样的 3,414 个源文件中有 17 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes2,707,645
source_files_sampled3,414
oversized_source_files17

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 — example, examples
所用输入
example_dirsexample, examples
has_mcp_signal
api_schema_files

关键数据

1,057GitHub 星标
99贡献者
2,337最近 12 个月提交数
0距最近推送天数
6发布版本数
6巴士系数(bus factor)
313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 'flag-gems-cpp-__VENDOR__' from its registry
  • OpenSSF Scorecard did not return a usable result (2026/07/29 02:06:51 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 ★ / 473 ⇿
0Star
473Fork
6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。

010020030040050044672024-062025-062026-07
主版本 1次版本 2修订 1

每个点涵盖 2 天。

直接依赖 5
注册表软件包版本约束清单文件
PyPIflag-gemscpp/pyproject.toml
PyPIpackaging>=26.0pyproject.toml
PyPIPyYAML==6.0.1pyproject.toml
PyPIsqlalchemy==2.0.48pyproject.toml
PyPInumpypyproject.toml
全部依赖 48

来自 GitHub 依赖图的完整解析依赖集合:3 个直接依赖与 45 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
PyPIpackaging直接
PyPIpyyaml6.0.1直接
PyPIsqlalchemy2.0.48直接
PyPIapex0.1间接
PyPIbenchflow1.0.0间接
PyPIcambricon-dali0.13.0间接
PyPIcmake间接
PyPIcolorama0.4.6间接
PyPIcoverage7.13.5间接
PyPIdatasets间接
PyPIdistro1.9.0间接
PyPIflash-attn2.4.2+7e2dd4d间接
PyPIhydrax0.1.0间接
PyPIhyperparameter0.5.6间接
PyPImkl2024.0.0间接
PyPIninja间接
PyPIopenpyxl3.1.5间接
PyPIpandas间接
PyPIpandas2.3.3间接
PyPIpsutil6.1.0间接
PyPIpybind11间接
PyPIpybind113.0.3间接
PyPIpyefml1.9.10间接
PyPIpytest9.0.3间接
PyPIpytest-md-report0.8.0间接
PyPIregex2026.4.4间接
PyPIscikit-build-core间接
PyPIscikit-build-core0.12.2间接
PyPIscipy间接
PyPIsetuptools间接
PyPIsetuptools-scm间接
PyPItorch2.7.0+cpu间接
PyPItorch-gcu2.10.0+3.7.20260408间接
PyPItorch-mlu1.29.2+torch2.7.1间接
PyPItorch-mlu-ops1.8.0+torch2.7.1间接
PyPItorch-musa2.9.0间接
PyPItorch-npu2.9.0间接
PyPItorch-plugin0.1.0间接
PyPItorch-ptpu0.2.3+torch2.11间接
PyPItorch-txda0.1.0+20260615.37ba6bbd间接
PyPItorch-xray2.0.4间接
PyPItorchaudio2.4.1+metax3.7.2.0间接
PyPItorchvision0.15.1+metax3.7.2.0间接
PyPItransformers间接
PyPItxops0.1.0+20260508.60287151间接
PyPIvllm间接
PyPIxformers0.0.29+1e7a8ec.d20260114间接
PyPIxmlir1.0.0.1间接
依赖安全公告 0

安装 pypi:flag_gems@5.0.2 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": [
        "pytorch",
        "triton",
        "triton-kernels"
      ],
      "is_fork": false,
      "size_kb": 87325,
      "has_wiki": false,
      "homepage": null,
      "languages": {
        "C++": 390738,
        "CSS": 3613,
        "CMake": 46675,
        "Shell": 70037,
        "Python": 19145796,
        "JavaScript": 2062
      },
      "pushed_at": "2026-07-29T02:03:10Z",
      "created_at": "2024-03-21T02:04:53Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-29T02:03:13Z",
      "description": "FlagGems is an operator library for large language models implemented in the Triton Language.",
      "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"
      ]
    },
    "owner": {
      "blog": "https://flagos.io",
      "name": "FlagOS",
      "type": "Organization",
      "login": "flagos-ai",
      "company": null,
      "location": "China",
      "followers": 248,
      "avatar_url": "https://avatars.githubusercontent.com/u/242732894?v=4",
      "created_at": "2025-11-08T03:12:26Z",
      "is_verified": null,
      "public_repos": 51,
      "account_age_days": 262
    },
    "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": "v5.3.0",
          "kind": "minor",
          "published_at": "2026-06-24T07:22:22Z"
        },
        {
          "tag": "v5.0.2",
          "kind": "patch",
          "published_at": "2026-04-24T02:10:38Z"
        },
        {
          "tag": "v5.0.1.rc.0",
          "kind": "other",
          "published_at": "2026-03-26T10:12:50Z"
        },
        {
          "tag": "v5.0.0",
          "kind": "major",
          "published_at": "2026-03-26T08:05:50Z"
        },
        {
          "tag": "v4.2.1.rc.0",
          "kind": "other",
          "published_at": "2026-01-26T02:42:24Z"
        },
        {
          "tag": "v4.2.0",
          "kind": "minor",
          "published_at": "2026-01-04T14:06:02Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "8e34260917c7d2c5ba8bbdf3bb3bfa59d7413328",
          "body": "* add sunrise's customized ops\n\n* add sunrise's change",
          "is_bot": false,
          "headline": "[_sunrise] update sunrise ops (#5024)",
          "author_name": "Dayrker",
          "author_login": "Dayrker",
          "committed_at": "2026-07-29T02:03:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "fix issue 4058 (#4741)",
          "author_name": "HuangYiQun",
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          "committed_at": "2026-07-29T01:30:56Z",
          "body_truncated": false,
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          "author_name": "HuangYiQun",
          "author_login": "huangyiqun",
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          "body_truncated": false,
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          "headline": "fix issue 4055 (#4743)",
          "author_name": "HuangYiQun",
          "author_login": "huangyiqun",
          "committed_at": "2026-07-29T01:30:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "07434464660603646fb75d3089b49050cbbc637c",
          "body": null,
          "is_bot": false,
          "headline": "Fix rms_norm implementation (#5009)",
          "author_name": "lvyouchen",
          "author_login": "CLYtou",
          "committed_at": "2026-07-28T09:55:39Z",
          "body_truncated": false,
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        {
          "oid": "2a52f9535ddf6e49d6df641f26eafec3f0d1ef23",
          "body": null,
          "is_bot": false,
          "headline": "Add te rmsnorm_fwd and rmsnorm_bwd op (#4640)",
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          "body_truncated": false,
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          "headline": "Fix mul fallback error (#4999)",
          "author_name": "WangZhen",
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          "committed_at": "2026-07-28T03:00:14Z",
          "body_truncated": false,
          "is_coding_agent": false
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        {
          "oid": "b4c271fd8e4d02637f16262548d69366b70ca6d9",
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          "is_bot": false,
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          "is_bot": false,
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          "author_login": "tengqm",
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          "body_truncated": false,
          "is_coding_agent": false
        },
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          "oid": "5e8767a5593a502f9a82e24b425c6350bf7bee1e",
          "body": "Signed-off-by: Qiming Teng <tengqm@outlook.com>",
          "is_bot": false,
          "headline": "Update upload-artifact action to version 7.0.0",
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          "headline": "[KernelGen][Nvidia] Add fractional_max_pool2d operator with Triton ke…",
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          "headline": "[KernelGen][Nvidia] Add _embedding_bag_dense_backward operator with T…",
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          "headline": "[KernelGen][Nvidia] Add _prelu_kernel operator with Triton kernel (#3…",
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          "headline": "[KernelGen][Nvidia] Add norm operator with Triton kernel (#3432)",
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          "body": "Package the top-level tests/ and benchmark/ directories into the wheel\nunder collision-safe names flaggems_tests and flaggems_benchmark, so the\noperator suite can be run against a wheel-installed flag_gems\n(e.g. pytest --pyargs flaggems_tests).\n\n- Add setup.py that remaps the two dirs via package_di\n[…]\nCI are\nunaffected. The shim is honored by the setuptools backend used for the\nreleased wheel (release.yaml patches the backend before building).\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Ship test and benchmark suites in the wheel (#4832)",
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          "author_login": "tengqm",
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          "headline": "Minor revision for gate testing (#4878)",
          "author_name": "Qiming Teng",
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          "body": "Updated flake8 configuration to ignore E701.\n\nSigned-off-by: Qiming Teng <tengqm@outlook.com>",
          "is_bot": false,
          "headline": "Modify flake8 args in pre-commit config",
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          "body": "Removed copyright notice and license information from the pull request template.\n\nSigned-off-by: Qiming Teng <tengqm@outlook.com>",
          "is_bot": false,
          "headline": "Update pull request template to remove license section",
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        {
          "oid": "b684fbc78add740db16dd414cad75dd2d2105ae3",
          "body": "* chore: add Apache 2.0 copyright header to all source files\n\nCopyright 2026 FlagOS Contributors\n\nThis PR was written in part with the assistance of generative AI.\n\n* fix: apply black formatting after adding copyright headers\n\nThis PR was written in part with the assistance of generative AI.",
          "is_bot": false,
          "headline": "chore: add Apache 2.0 copyright header to all source files (#4873)",
          "author_name": "Qiming Teng",
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        {
          "oid": "37a8c501a27b492c482afea753838f13a2d959f5",
          "body": "The container build system was migrated to flagos-ai/build-infra. This\nworkflow references a 'containerfile' that no longer exists in FlagGems\nand its functionality (building flargems-nvidia images) is superseded by\nbuild-infra's trigger.yml and scheduled.yml.disabled workflows.\n\nCloses #4871.",
          "is_bot": false,
          "headline": "ci: remove stale image-builder workflow (#4872)",
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          "body": "Bumps [actions/setup-node](https://github.com/actions/setup-node) from 6.4.0 to 7.0.0.\n- [Release notes](https://github.com/actions/setup-node/releases)\n- [Commits](https://github.com/actions/setup-node/compare/48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e...820762786026740c76f36085b0efc47a31fe5020)\n\n---\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "headline": "chore(deps): bump actions/setup-node from 6.4.0 to 7.0.0 (#4845)",
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          "body": "setup-flaggems action expects 'backend' not 'vendor' as the parameter\nname for the FlagGems backend label.",
          "is_bot": false,
          "headline": "fix(ci): correct input name in random-test.yaml (#4869)",
          "author_name": "Qiming Teng",
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          "body": "Bumps [actions/checkout](https://github.com/actions/checkout) from 6.0.2 to 7.0.0.\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/actions/checkout/compare/v6.0.2...9c091bb21b7c1c\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "chore(deps): bump actions/checkout from 6.0.2 to 7.0.0 (#4846)",
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        {
          "oid": "461e98ede11612e64e5b1d4267eef831661067b5",
          "body": "- Install guides (en+zh): PyPI section now mentions cpp-* extras for\n  prebuilt wheels; C++ extensions section rewritten with setup.sh option A\n  and manual cpp/ build option B; scikit-build-core note clarified\n- C++ usage guides (en+zh): path refs updated (src/flag_gems/csrc/ ->\n  cpp/csrc/, lib/ -\n[…]\nwheel, and manual cpp/ paths\n- Packaging guides (en+zh): build-backend reference fixed (setuptools for\n  main, scikit-build-core for cpp/); new section 3 for building per-vendor\n  C++ extension wheels",
          "is_bot": false,
          "headline": "docs: update install/cpp/packaging guides for cpp/ wheel split (#4868)",
          "author_name": "Qiming Teng",
          "author_login": "tengqm",
          "committed_at": "2026-07-18T09:51:24Z",
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        {
          "oid": "9333403421706663bda823c6ff59d8d358085740",
          "body": "* Split C++ extension into a separate per-vendor wheel package\n\nMove the C++ sources and build system into a new cpp/ subdirectory with\nits own scikit-build-core pyproject.toml, and turn the main package back\ninto a pure-Python setuptools project. This lets `pip install flag-gems`\nship a py3-none-an\n[…]\np311 linux_aarch64) and installs its .so files\ninto the flag_gems/ namespace.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Split C++ extension into a separate per-vendor wheel (#4745)",
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          "headline": "feat: weekly ci job manual run support vendor and ops args (#4862)",
          "author_name": "Hello World",
          "author_login": "wuwentao",
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          "body": "Bumps [actions/setup-go](https://github.com/actions/setup-go) from 6.5.0 to 7.0.0.\n- [Release notes](https://github.com/actions/setup-go/releases)\n- [Commits](https://github.com/actions/setup-go/compare/924ae3a1cded613372ab5595356fb5720e22ba16...b7ad1dad31e06c5925ef5d2fc7ad053ef454303e)\n\n---\nupdated\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "headline": "chore(deps): bump actions/setup-go from 6.5.0 to 7.0.0 (#4847)",
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          "headline": "fix: test script import datetime error in main func (#4861)",
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          "headline": "fix: nvidia container/mthreads env/huawei env for weekly ci job (#4859)",
          "author_name": "Hello World",
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          "is_bot": false,
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              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "published library — lockfiles are an application concern, not expected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "lockfiles_not_expected",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:flag_gems@5.0.2 runtime dependency closure — what installing the published package pulls in — 6 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:flag_gems@5.0.2",
                  "assessed": 6
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "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": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 6,
              "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": 5
            },
            "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": 55,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.938,
              "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": "91 of 97 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 91,
                      "sampled": 97
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 71,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0.24,
              "toolchain_manifests": [
                "docs/themes/hugo-book/go.mod"
              ],
              "dependency_bot_commit_share": 0.03
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/themes/hugo-book/go.mod (toolchain convention, no task runner)",
                "points": 12.6,
                "status": "partial",
                "details": [
                  {
                    "code": "toolchain_convention",
                    "params": {
                      "files": "docs/themes/hugo-book/go.mod"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "24 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 24,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "3 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 3,
                      "sampled": 100
                    }
                  }
                ],
                "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": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 2707645,
              "source_files_sampled": 3414,
              "oversized_source_files": 17
            },
            "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": "17/3414 source files over 60KB",
                "points": 54.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 3414,
                      "oversized": 17
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "example",
                "examples"
              ],
              "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": "example, examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "example, examples"
                    }
                  }
                ],
                "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 'flag-gems-cpp-__VENDOR__' from its registry",
    "OpenSSF Scorecard did not return a usable result (2026/07/29 02:06:51 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": "2026-07-29T02:07:20.592958Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/flagos-ai/FlagGems.svg",
  "full_name": "flagos-ai/FlagGems",
  "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.