公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-30 22:04 UTC

Blaizzy / mlx-audio

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

PythonMIT★ 7,654 星标⑂ 680 复刻始于 2024年11月在 GitHub 上查看 ↗

Blaizzy/mlx-audio 的健康指数为 100 分中的 83 分,处于「良好」区间。 其得分最高的类别是Vitality(98/100),最低的是AI Readiness(54/100)。 最近一次更新在 1 天前。 近期的大部分工作由 3 位贡献者完成。

83
总分 / 100
良好

软件健康指数

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

83
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

Prince Canuma个人账户
1,458 关注者106 个公开仓库始于 2016年11月kulissiwa.com

该仓库由个人账户拥有。相较于组织支持的项目,单一所有者项目的延续性风险更高。

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
PyPImlx-audio0.4.6362,747265 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?

98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 1 天前
31.8/36提交节奏 — 52 周中有 46 周有提交
18/18提交量 — 最近一年 735 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year735
human_commit_share1
days_since_last_push1
active_weeks_last_year46

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 26 个发布版本
36/36发布时效 — 最近一次发布版本于 5 天前
27/27发布节奏 — 约每 20.4 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count26
latest_release_tagv0.4.6
releases_from_tags
days_since_latest_release5
mean_days_between_releases20.4
已排除计分(无数据或不适用):OpenSSF Scorecard:Signed-Releases。 其余权重已重新归一化。

社区与采用

项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?

80良好 · 占总体的 18%
评分方式
60/60星标 — 7,654 个星标
23.6/25复刻 — 680 个复刻
9.5/15关注者 — 53 位关注者
所用输入
forks680
stars7,654
watchers53
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

57中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
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
评分方式
74.1/80月度下载量 — pypi 合计每月 362,747 次下载
0/20注册表被依赖数 — 该生态系统不报告此项
所用输入
packagesmlx-audio
dependents
ecosystemspypi
total_downloads
monthly_downloads362,747
已排除计分(无数据或不适用):注册表被依赖数。 其余权重已重新归一化。

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?

80良好 · 占总体的 24%
评分方式
36/54巴士系数 — 3 位贡献者贡献了半数提交
16.8/22.5提交分布 — 头号贡献者编写了 26% 的提交
13.5/13.5贡献者广度 — 99 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 9 contributing companies or organizations
所用输入
bus_factor3
contributors_sampled99
top_contributor_share0.255
评分方式
35.9/46.8议题解决 — 77% 的议题已关闭
30.7/38.3PR 接受 — 已裁定的 PR 中 426/531 已合并
10.5/15OpenSSF Scorecard:Code-Review — Found 10/13 approved changesets -- score normalized to 7
所用输入
merged_prs426
open_issues70
closed_issues231
issue_closed_ratio0.767
closed_unmerged_prs105
评分方式
10/30所有权背书 — 个人(用户)账户
0/20已验证域名 — 不适用于个人账户
22.7/25所有者影响力 — Blaizzy 有 1,458 位关注者
25/25既往记录 — 106 个公开仓库,账户约 9 年
所用输入
followers1,458
owner_typeUser
is_verified
owner_loginBlaizzy
public_repos106
account_age_days3,545
已排除计分(无数据或不适用):已验证域名。 其余权重已重新归一化。
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 5 天前
20/20版本历史 — 26 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
packagesmlx-audio
ecosystemspypi
any_deprecated
min_days_since_publish5

工程质量

基础的工程与文档实践是否到位?

92优秀 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 4 个工作流
24/24存在测试
16/16Linter 配置 — .eslintrc.json
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

90优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://blaizzy.github.io/mlx-audio/
10/10仓库描述
10/10主题标签 — 9 个主题标签
0/10Wiki
所用输入
topicsapple-silicon, audio-processing, mlx, multimodal, speech-recognition, speech-synthesis, speech-to-text, text-to-speech, transformers
has_wiki
homepagehttps://blaizzy.github.io/mlx-audio/
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?

58中等 · 占总体的 16%

安全态势

47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
2.5/2.5CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 10/13 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 9 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 42 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.8
已排除计分(无数据或不适用):branch_protection, signed_releases。 其余权重已重新归一化。
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages38
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:mlx-audio@0.4.6 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 38 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。

54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)
34.1/40可读的提交历史 — 100 次人类提交中有 64 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_share0.64
agent_instruction_files
agent_instruction_max_bytes
评分方式
0/18一条命令的引导启动
22/22自动化测试
11/11Lint / 格式化配置 — .eslintrc.json
11/11静态类型检查 — examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json
10/10可复现环境 — lockfile
10/10已体现的代理实践 — 最近 100 次提交中有 8 次由代理编写或署名代理
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configsexamples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json
agent_commit_share0.08
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(examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json)
54.4/55可控的文件大小 — 采样的 731 个源文件中有 8 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes354,737
source_files_sampled731
oversized_source_files8

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
所用输入
example_dirsexamples
has_mcp_signal
api_schema_files

关键数据

7,654GitHub 星标
99贡献者
735最近 12 个月提交数
1距最近推送天数
26发布版本数
3巴士系数(bus factor)
70开放议题
PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

更多细节

Star 与 Fork 历史 0 ★ / 680 ⇿
0Star
680Fork
26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。

0125250375500625750663532025-022025-112026-07
主版本 0次版本 4修订 21

每个点涵盖 2 天。

OpenSSF Scorecard 4.8 / 10
4.8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 · 2026-07-30 22:04 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
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 10/13 approved changesets -- score normalized to 7
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities42 existing vulnerabilities detected
直接依赖 9
注册表软件包版本约束清单文件
PyPIhuggingface_hub>=1.0pyproject.toml
PyPIminiaudio>=1.61pyproject.toml
PyPImlx-lm>=0.31.1pyproject.toml
PyPImlx>=0.31.1pyproject.toml
PyPInumpy>=1.26.4pyproject.toml
PyPIscipy>=1.10.0pyproject.toml
PyPIsounddevice>=0.5.3pyproject.toml
PyPItqdm>=4.67.1pyproject.toml
PyPItransformers>=5.14.0pyproject.toml
全部依赖 136

来自 GitHub 依赖图的完整解析依赖集合:11 个直接依赖与 125 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
PyPIhuggingface-hub1.11.0直接
PyPIminiaudio1.61直接
PyPImlx0.31.2直接
PyPImlx-lm0.31.1直接
PyPInumpy2.2.6直接
PyPInumpy2.3.5直接
PyPIscipy1.15.3直接
PyPIscipy1.17.0直接
PyPIsounddevice0.5.3直接
PyPItqdm4.67.1直接
PyPItransformers5.6.0直接
npm@react-three/drei~9.105.6间接
npm@react-three/fiber~8.16.8间接
npm@types/bunlatest间接
npm@types/fluent-ffmpeg^2.1.27间接
npm@types/node^20间接
npm@types/node^22.13.10间接
npm@types/react^18间接
npm@types/react-dom^18间接
npmclass-variance-authority^0.7.1间接
npmclsx^2.1.1间接
npmD^1.0.0间接
npmeslint^8间接
npmeslint-config-next14.2.16间接
npmfluent-ffmpeg^2.1.3间接
npmlucide-react^0.511.0间接
npmmkdirp^3.0.1间接
npmnext^15.4.7间接
npmnext-themes^0.4.6间接
npmpostcss^8间接
npmreact^18间接
npmreact-dom^18间接
npmtailwind-merge^3.3.0间接
npmtailwindcss^3.4.1间接
npmtailwindcss-animate^1.0.7间接
npmthree^0.163.0间接
npmtypescript^5间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.12.1间接
PyPIattrs25.4.0间接
PyPIbabel2.17.0间接
PyPIbackports-asyncio-runner1.2.0间接
PyPIbackrefs6.2间接
PyPIblack26.1.0间接
PyPIcertifi2026.1.4间接
PyPIcffi2.0.0间接
PyPIcfgv3.5.0间接
PyPIcharset-normalizer3.4.4间接
PyPIclick8.3.1间接
PyPIcolorama0.4.6间接
PyPIdistlib0.4.0间接
PyPIexceptiongroup1.3.1间接
PyPIfastapi0.128.0间接
PyPIfilelock3.20.3间接
PyPIfsspec2026.1.0间接
PyPIghp-import2.1.0间接
PyPIgriffelib2.0.2间接
PyPIh110.16.0间接
PyPIhf-xet1.4.3间接
PyPIhttpcore1.0.9间接
PyPIhttptools0.7.1间接
PyPIhttpx0.28.1间接
PyPIidentify2.6.16间接
PyPIidna3.11间接
PyPIiniconfig2.3.0间接
PyPIisort7.0.0间接
PyPIjinja23.1.6间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPImarkdown3.10.2间接
PyPImarkdown-it-py4.0.0间接
PyPImarkupsafe3.0.3间接
PyPImdurl0.1.2间接
PyPImergedeep1.3.4间接
PyPImistral-common1.8.8间接
PyPImkdocs1.6.1间接
PyPImkdocs-autorefs1.4.4间接
PyPImkdocs-get-deps0.2.2间接
PyPImkdocs-material9.7.6间接
PyPImkdocs-material-extensions1.3.1间接
PyPImkdocstrings1.0.3间接
PyPImkdocstrings-python2.0.3间接
PyPImlx-metal0.31.2间接
PyPImypy-extensions1.1.0间接
PyPInodeenv1.10.0间接
PyPIpackaging26.0间接
PyPIpaginate0.5.7间接
PyPIpathspec1.0.4间接
PyPIpillow12.1.0间接
PyPIplatformdirs4.5.1间接
PyPIpluggy1.6.0间接
PyPIpre-commit4.5.1间接
PyPIprotobuf6.33.5间接
PyPIpycountry24.6.1间接
PyPIpycparser3.0间接
PyPIpydantic2.12.5间接
PyPIpydantic-core2.41.5间接
PyPIpydantic-extra-types2.11.0间接
PyPIpygments2.19.2间接
PyPIpymdown-extensions10.21.2间接
PyPIpytest9.0.2间接
PyPIpytest-asyncio1.3.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-dotenv1.2.2间接
PyPIpython-multipart0.0.22间接
PyPIpytokens0.4.1间接
PyPIpyyaml6.0.3间接
PyPIpyyaml-env-tag1.1间接
PyPIreferencing0.37.0间接
PyPIregex2026.1.15间接
PyPIrequests2.32.5间接
PyPIrich14.3.3间接
PyPIrpds-py0.30.0间接
PyPIsafetensors0.7.0间接
PyPIsentencepiece0.2.1间接
PyPIsetuptools80.10.1间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsoundfile0.13.1间接
PyPIsoxr1.0.0间接
PyPIstarlette0.50.0间接
PyPItiktoken0.12.0间接
PyPItokenizers0.22.2间接
PyPItomli2.4.0间接
PyPItyper0.24.1间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspection0.4.2间接
PyPIurllib32.6.3间接
PyPIuvicorn0.40.0间接
PyPIuvloop0.22.1间接
PyPIvirtualenv20.36.1间接
PyPIwatchdog6.0.0间接
PyPIwatchfiles1.1.1间接
PyPIwebrtcvad2.0.10间接
PyPIwebsockets16.0间接
依赖安全公告 0

安装 pypi:mlx-audio@0.4.6 会引入 38 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": [
        "apple-silicon",
        "audio-processing",
        "mlx",
        "multimodal",
        "speech-recognition",
        "speech-synthesis",
        "speech-to-text",
        "text-to-speech",
        "transformers"
      ],
      "is_fork": false,
      "size_kb": 103963,
      "has_wiki": false,
      "homepage": "https://blaizzy.github.io/mlx-audio/",
      "languages": {
        "CSS": 3178,
        "Python": 6604777,
        "JavaScript": 252,
        "TypeScript": 143519
      },
      "pushed_at": "2026-07-29T21:28:39Z",
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          "body": "I kept the original class here for posterity, but this could probably be\nrefactored out entirely",
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          "headline": "Merge pull request #826 from lucasnewman/improve-transcribe-diarize-p…",
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          "headline": "Merge pull request #799 from Hert4/add-confucius4-tts",
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          "body": "- Use the standard repo copyright header in all package files\n- generate(): load ref audio via mlx_audio.utils.load_audio (audio_io\n  decode + resample_audio), dropping soundfile and librosa\n- _ref_mel: drop librosa; resample via resample_audio and use a\n  self-contained slaney mel filterbank (match\n[…]\ne-9)\n- features.py: reimplement fbank_160 in MLX (vectorized mx.fft.rfft)\n- Add README with usage examples and supported mlx-community repo ids\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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          "body": "Reported in PR #799: sf.read returns sr but it was discarded, so\nfbank_160 / CAMPPlus / _ref_mel read a 44.1/48 kHz ref as 16 kHz,\nproducing a mel off by sr/16000 and garbled audio.",
          "is_bot": false,
          "headline": "fix(confucius4): resample ref audio to 16 kHz before frontend",
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          "body": "find_ckpt() now only resolves the sibling weights/ dir (the Model always passes\nan explicit path); drops a personal absolute HF-cache glob.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Remove hardcoded local cache path from t2s find_ckpt",
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          "headline": "Quantize w2v-bert encoder linears too (int8/int4)",
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          "headline": "Configurable quant bits + int4 support",
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          "is_bot": false,
          "headline": "T2S int8 quantization (convert --quantize int8)",
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          "is_bot": false,
          "headline": "Apply black + isort formatting (CI style)",
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          "body": "Pure-MLX port of netease-youdao/Confucius4-TTS (Apache-2.0): T2S GPT-2,\nS2A flow-matching (DiT+WaveNet), BigVGAN vocoder, w2v-bert conformer +\nECAPA/CAMPPlus speaker encoders. Torch-free inference (torch only in\nconvert.py). Reuses chatterbox CAMPPlus. Follows up #796.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Add Confucius4-TTS: multilingual zero-shot voice-cloning TTS (MLX)",
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          "headline": "Merge pull request #785 from kanihal/fix-sinegen-length-alignment",
          "author_name": "Lucas Newman",
          "author_login": "lucasnewman",
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          "headline": "Fix SineGen length alignment",
          "author_name": "Jagadeesha",
          "author_login": "kanihal",
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          "body": "Higgs audio 3 stt support",
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          "headline": "Merge pull request #811 from Lazarus-931/higgs-audio-3-stt",
          "author_name": "Lucas Newman",
          "author_login": "lucasnewman",
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          "body": "Address the review feedback to keep audio inputs as mx.arrays and drop the\ntransformers feature extractor.\n\n- Add AudioFeatureExtractor, an nn.Module that takes an mx.array waveform and\n  returns mx.array mel features, computing the log-mel spectrogram entirely in\n  mx space via the shared mlx_audio\n[…]\nt while keeping nested-config building in __post_init__.\n- Tests cover the new extractor and BaseModelArgs config parsing.\n\nTranscription output is unchanged and still byte-identical to the reference.",
          "is_bot": false,
          "headline": "fixes pr review: MLX-native audio features and BaseModelArgs config",
          "author_name": "Alazar Manakelew",
          "author_login": "Lazarus-931",
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          "body": "- Segment audio with the in-tree Silero VAD (mlx_audio.vad) before\n  transcription, matching the reference vad_cut path: VAD speech runs are\n  turned into chunk ranges (respecting cut starts, last range to end, then\n  split to chunk_size_seconds) and each chunk fills one <|AUDIO|> placeholder.\n  spl\n[…]\nOptional where they default to None.\n- Add a model README.\n\nVerified against the original PyTorch model (transformers 4.51,\ntrust_remote_code) on the LibriSpeech dummy clip: identical output, WER 0.0.",
          "is_bot": false,
          "headline": "Higgs-Audio v3 STT: VAD chunking, config types, README",
          "author_name": "Alazar Manakelew",
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          "body": "Port the bosonai/higgs-audio-v3-stt model (model_type higgs_audio_3) to\nmlx-audio. The model pairs a Whisper-style audio encoder with a Qwen3 text\nbackbone and an MLP projector that temporally downsamples the audio features\nbefore splicing them into the text token stream.\n\n- higgs_audio_3/config.py:\n[…]\ns the unused audio-generation\n  tensors.\n- Register higgs_audio_3 in the STT loader remapping.\n- Tests: tiny-config shape/forward/merge/sanitize coverage plus a gated\n  real-weight transcription test.",
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          "headline": "Add Higgs-Audio v3 STT model",
          "author_name": "Alazar Manakelew",
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          "body": "Point OmniVoice docs to the MLX-ready mlx-community/OmniVoice-bfloat16",
          "is_bot": false,
          "headline": "Merge pull request #807 from Lazarus-931/fix-714",
          "author_name": "Lucas Newman",
          "author_login": "lucasnewman",
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          "body": "Keep strict tokenizer weight loading so genuine weight mismatches are\nsurfaced, and point the docs at the MLX-ready bfloat16 conversion, which\nloads cleanly and produces audio. Addresses #714.",
          "is_bot": false,
          "headline": "Recommend mlx-community/OmniVoice-bfloat16 in OmniVoice docs",
          "author_name": "Alazar Manakelew",
          "author_login": "Lazarus-931",
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          "body": "…tion\n\nReduce Higgs v3 AR decode syncs",
          "is_bot": false,
          "headline": "Merge pull request #808 from sxy-trans-n/codex/higgs-v3-ar-sync-reduc…",
          "author_name": "Lucas Newman",
          "author_login": "lucasnewman",
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          "body": "perf(stt): hot-path profiling optimizations and memory/sync improvements",
          "is_bot": false,
          "headline": "Merge pull request #806 from hluaguo/perf/stt-pipeline-optimizations",
          "author_name": "Lucas Newman",
          "author_login": "lucasnewman",
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          "headline": "Merge branch 'main' into fix-slow-stt-tests",
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          "is_bot": false,
          "headline": "Fix slow STT tests.",
          "author_name": "Lucas Newman",
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                    "params": {
                      "count": 1458,
                      "login": "Blaizzy"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "106 public repos, account ~9 yr old",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 106
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 9
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "mlx-audio"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 5
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 5 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 5
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                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "26 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 26
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 92,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "4 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 4
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": ".eslintrc.json",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                  }
                ],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "13 out of 13 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "apple-silicon",
                "audio-processing",
                "mlx",
                "multimodal",
                "speech-recognition",
                "speech-synthesis",
                "speech-to-text",
                "text-to-speech",
                "transformers"
              ],
              "has_wiki": false,
              "homepage": "https://blaizzy.github.io/mlx-audio/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://blaizzy.github.io/mlx-audio/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "9 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 9
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 58,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 47,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 4.8
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "13 out of 13 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 10/13 approved changesets -- score normalized to 7",
                "points": 5.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "42 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mlx-audio@0.4.6 runtime dependency closure — what installing the published package pulls in — 38 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:mlx-audio@0.4.6",
                  "assessed": 38
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 38,
              "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": 38,
              "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"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 10
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
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            ]
          }
        ],
        "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": 54,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 34,
            "inputs": {
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              "legible_history_share": 0.64,
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              "agent_instruction_max_bytes": null
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            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "status": "partial",
                "details": [
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                    "code": "legible_history",
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 64,
            "inputs": {
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              "lockfiles": [
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              "agent_commit_share": 0.08,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
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              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".eslintrc.json",
                "points": 11,
                "status": "met",
                "details": [
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                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "8 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "agent_authored_commits",
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                  }
                ],
                "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": 81,
            "inputs": {
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              "largest_source_bytes": 354737,
              "source_files_sampled": 731,
              "oversized_source_files": 8
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "8/731 source files over 60KB",
                "points": 54.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 731,
                      "oversized": 8
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "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": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T22:04:52.472370Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/Blaizzy/mlx-audio.svg",
  "full_name": "Blaizzy/mlx-audio",
  "license_state": "standard",
  "license_spdx": "MIT"
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.27.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.