公开记录中等
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-27 08:56 UTC
bespokelabsai / curator
Synthetic data curation for post-training and structured data extraction
bespokelabsai/curator 的健康指数为 100 分中的 68 分，处于「中等」区间。 其得分最高的类别是Engineering Quality（95/100），最低的是Security（10/100）。 最近一次更新在 4 天前。 近期的大部分工作由 3 位贡献者完成。
68
总分 / 100软件健康指数
指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均；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。
68
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）
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
软件包生态系统
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 | 标签 |
|---|---|---|---|---|---|---|
| PyPI | bespokelabs-curator | 0.1.29 | 25,080 | 57 | 13 天前 | aicuratorbespoke |
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？
72
开发活跃度
60中等
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 4 天前 |
| 6.2/36 | 提交节奏 — 52 周中有 9 周有提交 |
| 12.2/18 | 提交量 — 最近一年 22 次提交 |
| 0/10 | OpenSSF Scorecard：Maintained — 无数据 |
所用输入
| commits_last_year | 22 |
| human_commit_share | 1 |
| days_since_last_push | 4 |
| active_weeks_last_year | 9 |
发布纪律
90优秀
评分方式
| 27/27 | 有发布版本 — 已发布 26 个发布版本 |
| 27/36 | 发布时效 — 最近一次发布版本于 133 天前 |
| 27/27 | 发布节奏 — 约每 42.4 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 26 |
| latest_release_tag | v0.1.27 |
| releases_from_tags | 否 |
| days_since_latest_release | 133 |
| mean_days_between_releases | 42.4 |
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？
73
流行度与采用
76良好
评分方式
| 52.4/60 | 星标 — 1,704 个星标 |
| 17.9/25 | 复刻 — 143 个复刻 |
| 5.6/15 | 关注者 — 11 位关注者 |
所用输入
| forks | 143 |
| stars | 1,704 |
| watchers | 11 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
70良好
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（Apache-2.0） |
| 18/18 | CONTRIBUTING 指南 |
| 0/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 0/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| has_pull_request_template | 否 |
生态采用（下载量）
73良好
评分方式
| 58.7/80 | 月度下载量 — pypi 合计每月 25,080 次下载 |
| 0/20 | 注册表被依赖数 — 该生态系统不报告此项 |
所用输入
| packages | bespokelabs-curator |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 25,080 |
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？
78
维护者韧性（巴士系数）
74良好
评分方式
| 36/54 | 巴士系数 — 3 位贡献者贡献了半数提交 |
| 17.2/22.5 | 提交分布 — 头号贡献者编写了 24% 的提交 |
| 13.5/13.5 | 贡献者广度 — 22 位贡献者 |
| 0/10 | OpenSSF Scorecard：Contributors — 无数据 |
所用输入
| bus_factor | 3 |
| contributors_sampled | 22 |
| top_contributor_share | 0.235 |
议题与 PR 响应能力
83良好
评分方式
| 36.9/46.8 | 议题解决 — 79% 的议题已关闭 |
| 33.3/38.3 | PR 接受 — 已裁定的 PR 中 387/444 已合并 |
| 0/15 | OpenSSF Scorecard：Code-Review — 无数据 |
所用输入
| merged_prs | 387 |
| open_issues | 57 |
| closed_issues | 213 |
| issue_closed_ratio | 0.789 |
| closed_unmerged_prs | 57 |
所有权与托管责任
59中等
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 15.2/25 | 所有者影响力 — bespokelabsai 有 128 位关注者 |
| 13.7/25 | 既往记录 — 17 个公开仓库，账户约 2 年 |
所用输入
| followers | 128 |
| owner_type | Organization |
| is_verified | — |
| owner_login | bespokelabsai |
| public_repos | 17 |
| account_age_days | 825 |
软件包维护
100优秀
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 13 天前 |
| 20/20 | 版本历史 — 57 个已发布版本 |
| 20/20 | 未被弃用 — 活跃，未被弃用或撤回 |
所用输入
| packages | bespokelabs-curator |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 13 |
工程质量
基础的工程与文档实践是否到位？
95
工程实践
92优秀
评分方式
| 24/24 | CI 工作流 — 1 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard：CI-Tests — 无数据 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
100优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://docs.bespokelabs.ai/bespoke-curator |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 11 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | synthetic-data, agents, llm, prompt, python, synthetic-dataset-generation, deep-learning, fine-tuning, instruction-tuning, machine-learning, natural-language-processing |
| has_wiki | 是 |
| homepage | https://docs.bespokelabs.ai/bespoke-curator |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
安全
可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？
10
安全态势
1危急
评分方式
| 0/30 | 安全策略（SECURITY.md） |
| 0/25 | Dependabot 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 |
| 0/20 | CodeQL 工作流 |
所用输入
| source | file_signals |
| lockfiles | poetry.lock |
| manifests | pyproject.toml |
| has_codeql_workflow | 否 |
| has_security_policy | 否 |
| has_dependabot_config | 否 |
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。
依赖安全公告
44存在风险
评分方式
| 7.6/35 | 直接依赖不含已知公告 — 1 个受影响：litellm 1.83.7 (critical 9.8) |
| 6.6/25 | 间接依赖不含已知公告 — 4 个受影响：aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high)，另有 1 个 |
| 29.9/40 | 没有长期未处理的公告 — 2 个携带公告的软件包超过 90 天未处理；最早一条发布于 156 天前 |
所用输入
| source | osv |
| advisories | 39 |
| affected_packages | 5 |
| assessed_packages | 114 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 3, moderate 1 |
| direct_affected_packages | 1 |
比对的是 pypi:bespokelabs-curator@0.1.29 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 114 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。
58
AI 代理上下文与指引
40存在风险
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 — 100 次人类提交中有 99 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.99 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
评分方式
| 18/18 | 一条命令的引导启动 — Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 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 12 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 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — 无数据 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | poetry.lock |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0.12 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
面向模型的代码可读性
55中等
评分方式
| 0/45 | 可类型检查的代码 — Python，未配置类型检查 |
| 55/55 | 可控的文件大小 — 采样的 175 个源文件中有 0 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 35,987 |
| source_files_sampled | 175 |
| oversized_source_files | 0 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples |
所用输入
| example_dirs | examples |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
1,704GitHub 星标
22贡献者
22最近 12 个月提交数
4距最近推送天数
26发布版本数
3巴士系数（bus factor）
57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
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
更多细节
Star 与 Fork 历史 0 ★ / 143 ⇿
0Star
143Fork
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。
主版本 0次版本 0修订 20
每个点涵盖 2 天。
直接依赖 19
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | pydantic | >=2.9.2 | pyproject.toml |
| PyPI | datasets | ^3.0.2 | pyproject.toml |
| PyPI | instructor | ^1.6.3 | pyproject.toml |
| PyPI | pandas | 2.2.2 | pyproject.toml |
| PyPI | xxhash | ^3.5.0 | pyproject.toml |
| PyPI | tqdm | ^4.67.0 | pyproject.toml |
| PyPI | matplotlib | ^3.9.2 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | rich | ^13.7.0 | pyproject.toml |
| PyPI | litellm | 1.83.7 | pyproject.toml |
| PyPI | tiktoken | >=0.7.0 | pyproject.toml |
| PyPI | aiofiles | >=22.0,<26.0 | pyproject.toml |
| PyPI | anthropic | ^0.84.0 | pyproject.toml |
| PyPI | vertexai | 1.71.1 | pyproject.toml |
| PyPI | vllm | ^0.6.3 | pyproject.toml |
| PyPI | bespokelabs-sandbox | 0.1.1 | pyproject.toml |
| PyPI | tinker | ^0.8.0 | pyproject.toml |
| PyPI | posthog | ^3.11.0 | pyproject.toml |
| PyPI | mistralai | ^1.5.1 | pyproject.toml |
全部依赖 248
来自 GitHub 依赖图的完整解析依赖集合：22 个直接依赖与 226 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | aiofiles | 25.1.0 | 直接 |
| PyPI | anthropic | 0.84.0 | 直接 |
| PyPI | bespokelabs-sandbox | 0.1.1 | 直接 |
| PyPI | datasets | — | 直接 |
| PyPI | datasets | 3.2.0 | 直接 |
| PyPI | datasets | 3.6.0 | 直接 |
| PyPI | instructor | 1.14.5 | 直接 |
| PyPI | litellm | 1.83.7 | 直接 |
| PyPI | matplotlib | 3.10.8 | 直接 |
| PyPI | mistralai | 1.12.4 | 直接 |
| PyPI | nest-asyncio | 1.6.0 | 直接 |
| PyPI | pandas | 2.2.2 | 直接 |
| PyPI | posthog | 3.25.0 | 直接 |
| PyPI | pydantic | 2.12.5 | 直接 |
| PyPI | rich | 13.9.4 | 直接 |
| PyPI | tiktoken | 0.12.0 | 直接 |
| PyPI | tinker | 0.8.1 | 直接 |
| PyPI | tqdm | 4.67.3 | 直接 |
| PyPI | vertexai | 1.71.1 | 直接 |
| PyPI | vllm | — | 直接 |
| PyPI | vllm | 0.6.6.post1 | 直接 |
| PyPI | xxhash | 3.6.0 | 直接 |
| PyPI | accelerate | — | 间接 |
| PyPI | aiohappyeyeballs | 2.6.1 | 间接 |
| PyPI | aiohttp | 3.13.5 | 间接 |
| PyPI | aiohttp-cors | 0.8.1 | 间接 |
| PyPI | aiosignal | 1.4.0 | 间接 |
| PyPI | airportsdata | 20260304 | 间接 |
| PyPI | annotated-doc | 0.0.4 | 间接 |
| PyPI | annotated-types | 0.7.0 | 间接 |
| PyPI | anyio | 4.12.1 | 间接 |
| PyPI | aryn-sdk | — | 间接 |
| PyPI | astor | 0.8.1 | 间接 |
| PyPI | async-timeout | 5.0.1 | 间接 |
| PyPI | attrs | 25.4.0 | 间接 |
| PyPI | backoff | 2.2.1 | 间接 |
| PyPI | backports-tarfile | 1.2.0 | 间接 |
| PyPI | bespokelabs-curator | — | 间接 |
| PyPI | bespokelabs-curator | 0.1.16 | 间接 |
| PyPI | blake3 | 1.0.8 | 间接 |
| PyPI | certifi | 2026.2.25 | 间接 |
| PyPI | cffi | 2.0.0 | 间接 |
| PyPI | cfgv | 3.5.0 | 间接 |
| PyPI | charset-normalizer | 3.4.5 | 间接 |
| PyPI | click | 8.1.8 | 间接 |
| PyPI | cloudpickle | 3.1.2 | 间接 |
| PyPI | colorama | 0.4.6 | 间接 |
| PyPI | colorful | 0.5.8 | 间接 |
| PyPI | compressed-tensors | 0.8.1 | 间接 |
| PyPI | contourpy | 1.3.2 | 间接 |
| PyPI | coverage | 7.13.4 | 间接 |
| PyPI | cryptography | 46.0.5 | 间接 |
| PyPI | cycler | 0.12.1 | 间接 |
| PyPI | deepspeed | — | 间接 |
| PyPI | depyf | 0.18.0 | 间接 |
| PyPI | dill | 0.3.8 | 间接 |
| PyPI | diskcache | 5.6.3 | 间接 |
| PyPI | distlib | 0.4.0 | 间接 |
| PyPI | distro | 1.9.0 | 间接 |
| PyPI | docstring-parser | 0.17.0 | 间接 |
| PyPI | docutils | 0.22.4 | 间接 |
| PyPI | einops | 0.8.2 | 间接 |
| PyPI | eval-type-backport | 0.3.1 | 间接 |
| PyPI | exceptiongroup | 1.3.1 | 间接 |
| PyPI | faiss-cpu | — | 间接 |
| PyPI | fastapi | 0.135.1 | 间接 |
| PyPI | fastuuid | 0.14.0 | 间接 |
| PyPI | filelock | 3.25.2 | 间接 |
| PyPI | fonttools | 4.62.1 | 间接 |
| PyPI | frozenlist | 1.8.0 | 间接 |
| PyPI | fsspec | 2025.3.0 | 间接 |
| PyPI | gguf | 0.10.0 | 间接 |
| PyPI | google-api-core | 2.25.2 | 间接 |
| PyPI | google-auth | 2.49.1 | 间接 |
| PyPI | google-cloud-aiplatform | 1.71.1 | 间接 |
| PyPI | google-cloud-bigquery | 3.40.1 | 间接 |
| PyPI | google-cloud-core | 2.5.0 | 间接 |
| PyPI | google-cloud-resource-manager | 1.16.0 | 间接 |
| PyPI | google-cloud-storage | 2.19.0 | 间接 |
| PyPI | google-crc32c | 1.8.0 | 间接 |
| PyPI | google-resumable-media | 2.8.0 | 间接 |
| PyPI | googleapis-common-protos | 1.73.0 | 间接 |
| PyPI | grpc-google-iam-v1 | 0.14.3 | 间接 |
| PyPI | grpcio | 1.78.0 | 间接 |
| PyPI | grpcio-status | 1.71.2 | 间接 |
| PyPI | h11 | 0.16.0 | 间接 |
| PyPI | h2 | 4.3.0 | 间接 |
| PyPI | hf-xet | 1.4.2 | 间接 |
| PyPI | hpack | 4.1.0 | 间接 |
| PyPI | httpcore | 1.0.9 | 间接 |
| PyPI | httptools | 0.7.1 | 间接 |
| PyPI | httpx | 0.28.1 | 间接 |
| PyPI | huggingface-hub | 1.7.1 | 间接 |
| PyPI | hyperframe | 6.1.0 | 间接 |
| PyPI | identify | 2.6.17 | 间接 |
| PyPI | idna | 3.11 | 间接 |
| PyPI | importlib-metadata | 8.5.0 | 间接 |
| PyPI | iniconfig | 2.3.0 | 间接 |
| PyPI | interegular | 0.3.3 | 间接 |
| PyPI | invoke | 2.2.1 | 间接 |
| PyPI | isort | 5.13.2 | 间接 |
| PyPI | jaraco-classes | 3.4.0 | 间接 |
| PyPI | jaraco-context | 6.1.1 | 间接 |
| PyPI | jaraco-functools | 4.4.0 | 间接 |
| PyPI | jeepney | 0.9.0 | 间接 |
| PyPI | jinja2 | 3.1.6 | 间接 |
| PyPI | jiter | 0.11.1 | 间接 |
| PyPI | jsonschema | 4.23.0 | 间接 |
| PyPI | jsonschema-specifications | 2025.9.1 | 间接 |
| PyPI | keyring | 25.7.0 | 间接 |
| PyPI | kiwisolver | 1.5.0 | 间接 |
| PyPI | langchain | — | 间接 |
| PyPI | langchain-experimental | — | 间接 |
| PyPI | langchain-openai | — | 间接 |
| PyPI | lark | 1.2.2 | 间接 |
| PyPI | latex2sympy2 | 1.9.1 | 间接 |
| PyPI | lm-format-enforcer | 0.10.12 | 间接 |
| PyPI | markdown-it-py | 4.0.0 | 间接 |
| PyPI | markupsafe | 3.0.3 | 间接 |
| PyPI | mdurl | 0.1.2 | 间接 |
| PyPI | mistral-common | 1.5.6 | 间接 |
| PyPI | monotonic | 1.6 | 间接 |
| PyPI | more-itertools | 10.8.0 | 间接 |
| PyPI | mpmath | 1.3.0 | 间接 |
| PyPI | msgpack | 1.1.2 | 间接 |
| PyPI | msgspec | 0.20.0 | 间接 |
| PyPI | multidict | 6.7.1 | 间接 |
| PyPI | multiprocess | 0.70.16 | 间接 |
| PyPI | networkx | 3.4.2 | 间接 |
| PyPI | nh3 | 0.3.3 | 间接 |
| PyPI | nodeenv | 1.10.0 | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | numpy | 1.26.4 | 间接 |
| PyPI | nvidia-cublas-cu12 | 12.4.5.8 | 间接 |
| PyPI | nvidia-cuda-cupti-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-cuda-runtime-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-cudnn-cu12 | 9.1.0.70 | 间接 |
| PyPI | nvidia-cufft-cu12 | 11.2.1.3 | 间接 |
| PyPI | nvidia-curand-cu12 | 10.3.5.147 | 间接 |
| PyPI | nvidia-cusolver-cu12 | 11.6.1.9 | 间接 |
| PyPI | nvidia-cusparse-cu12 | 12.3.1.170 | 间接 |
| PyPI | nvidia-ml-py | 13.590.48 | 间接 |
| PyPI | nvidia-nccl-cu12 | 2.21.5 | 间接 |
| PyPI | nvidia-nvjitlink-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-nvtx-cu12 | 12.4.127 | 间接 |
| PyPI | openai | 2.30.0 | 间接 |
| PyPI | opencensus | 0.11.4 | 间接 |
| PyPI | opencensus-context | 0.1.3 | 间接 |
| PyPI | opencv-python-headless | 4.11.0.86 | 间接 |
| PyPI | opentelemetry-api | 1.40.0 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.40.0 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.40.0 | 间接 |
| PyPI | opentelemetry-exporter-prometheus | 0.61b0 | 间接 |
| PyPI | opentelemetry-proto | 1.40.0 | 间接 |
| PyPI | opentelemetry-sdk | 1.40.0 | 间接 |
| PyPI | opentelemetry-semantic-conventions | 0.61b0 | 间接 |
| PyPI | outlines | 0.1.11 | 间接 |
| PyPI | outlines-core | 0.1.26 | 间接 |
| PyPI | packaging | 26.0 | 间接 |
| PyPI | partial-json-parser | 0.2.1.1.post7 | 间接 |
| PyPI | pdfplumber | — | 间接 |
| PyPI | pillow | 12.1.1 | 间接 |
| PyPI | pkginfo | 1.10.0 | 间接 |
| PyPI | platformdirs | 4.9.4 | 间接 |
| PyPI | pluggy | 1.6.0 | 间接 |
| PyPI | pre-commit | 4.5.1 | 间接 |
| PyPI | prometheus-client | 0.24.1 | 间接 |
| PyPI | prometheus-fastapi-instrumentator | 7.1.0 | 间接 |
| PyPI | propcache | 0.4.1 | 间接 |
| PyPI | proto-plus | 1.27.1 | 间接 |
| PyPI | protobuf | 5.29.6 | 间接 |
| PyPI | psutil | 6.1.1 | 间接 |
| PyPI | py-cpuinfo | 9.0.0 | 间接 |
| PyPI | py-spy | 0.4.1 | 间接 |
| PyPI | pyarrow | 23.0.1 | 间接 |
| PyPI | pyasn1 | 0.6.2 | 间接 |
| PyPI | pyasn1-modules | 0.4.2 | 间接 |
| PyPI | pycountry | 26.2.16 | 间接 |
| PyPI | pycparser | 3.0 | 间接 |
| PyPI | pydantic-core | 2.41.5 | 间接 |
| PyPI | pygments | 2.19.2 | 间接 |
| PyPI | pyparsing | 3.3.2 | 间接 |
| PyPI | pytest | 8.4.2 | 间接 |
| PyPI | pytest-asyncio | 0.24.0 | 间接 |
| PyPI | pytest-cov | 6.3.0 | 间接 |
| PyPI | pytest-dependency | 0.6.1 | 间接 |
| PyPI | pytest-timeout | 2.4.0 | 间接 |
| PyPI | python-dateutil | 2.9.0.post0 | 间接 |
| PyPI | python-discovery | 1.1.3 | 间接 |
| PyPI | python-dotenv | 1.0.1 | 间接 |
| PyPI | pytz | 2026.1.post1 | 间接 |
| PyPI | pywin32-ctypes | 0.2.3 | 间接 |
| PyPI | pyyaml | 6.0.3 | 间接 |
| PyPI | pyzmq | 27.1.0 | 间接 |
| PyPI | ray | — | 间接 |
| PyPI | ray | 2.54.0 | 间接 |
| PyPI | readme-renderer | 44.0 | 间接 |
| PyPI | referencing | 0.37.0 | 间接 |
| PyPI | regex | 2026.2.28 | 间接 |
| PyPI | requests | — | 间接 |
| PyPI | requests | 2.32.5 | 间接 |
| PyPI | requests-toolbelt | 1.0.0 | 间接 |
| PyPI | rfc3986 | 2.0.0 | 间接 |
| PyPI | rpds-py | 0.30.0 | 间接 |
| PyPI | ruff | 0.8.6 | 间接 |
| PyPI | safetensors | 0.7.0 | 间接 |
| PyPI | scikit-learn | — | 间接 |
| PyPI | scipy | 1.15.1 | 间接 |
| PyPI | secretstorage | 3.5.0 | 间接 |
| PyPI | sentence-transformers | — | 间接 |
| PyPI | sentencepiece | 0.2.1 | 间接 |
| PyPI | setuptools | 82.0.1 | 间接 |
| PyPI | shapely | 2.1.2 | 间接 |
| PyPI | shellingham | 1.5.4 | 间接 |
| PyPI | six | 1.17.0 | 间接 |
| PyPI | smart-open | 7.5.1 | 间接 |
| PyPI | sniffio | 1.3.1 | 间接 |
| PyPI | starlette | 0.52.1 | 间接 |
| PyPI | sympy | 1.13.1 | 间接 |
| PyPI | tenacity | 9.1.4 | 间接 |
| PyPI | timeout-decorator | 0.5.0 | 间接 |
| PyPI | tokenizers | 0.22.2 | 间接 |
| PyPI | tomli | 2.4.0 | 间接 |
| PyPI | torch | — | 间接 |
| PyPI | torch | 2.5.1 | 间接 |
| PyPI | torchvision | 0.20.1 | 间接 |
| PyPI | transformers | — | 间接 |
| PyPI | transformers | 5.3.0 | 间接 |
| PyPI | triton | 3.1.0 | 间接 |
| PyPI | twine | 5.1.1 | 间接 |
| PyPI | typer | 0.26.7 | 间接 |
| PyPI | typing-extensions | 4.15.0 | 间接 |
| PyPI | typing-inspection | 0.4.2 | 间接 |
| PyPI | tzdata | 2025.3 | 间接 |
| PyPI | urllib3 | 1.26.20 | 间接 |
| PyPI | uvicorn | 0.41.0 | 间接 |
| PyPI | uvloop | 0.22.1 | 间接 |
| PyPI | vcrpy | 7.0.0 | 间接 |
| PyPI | virtualenv | 21.2.0 | 间接 |
| PyPI | watchfiles | 1.1.1 | 间接 |
| PyPI | websockets | 16.0 | 间接 |
| PyPI | word2number | 1.1 | 间接 |
| PyPI | wrapt | 2.1.2 | 间接 |
| PyPI | xformers | 0.0.28.post3 | 间接 |
| PyPI | xgrammar | 0.1.32 | 间接 |
| PyPI | yarl | 1.23.0 | 间接 |
| PyPI | zipp | 3.23.0 | 间接 |
依赖安全公告 5
安装 pypi:bespokelabs-curator@0.1.29 会引入 114 个包（直接与传递）：其中 5 个存在已知公告，1 个为直接依赖。
| 软件包 | 版本 | 关系 | 严重程度 | 公告数 | 修复版本 |
|---|---|---|---|---|---|
| litellm | 1.83.7 | 直接 | 严重 | 12 | 1.84.0 |
| aiohttp | 3.13.5 | 间接 | 高 | 22 | 3.14.1 |
| click | 8.1.8 | 间接 | 高 | 1 | 8.3.3 |
| google-cloud-aiplatform | 1.71.1 | 间接 | 高 | 2 | 1.133.0 |
| python-dotenv | 1.0.1 | 间接 | 中 | 2 | 1.2.2 |
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": [
"synthetic-data",
"agents",
"llm",
"prompt",
"python",
"synthetic-dataset-generation",
"deep-learning",
"fine-tuning",
"instruction-tuning",
"machine-learning",
"natural-language-processing"
],
"is_fork": false,
"size_kb": 67439,
"has_wiki": true,
"homepage": "https://docs.bespokelabs.ai/bespoke-curator",
"languages": {
"Shell": 117,
"Python": 841964,
"Makefile": 914,
"JavaScript": 1315
},
"pushed_at": "2026-07-22T14:53:26Z",
"created_at": "2024-10-28T01:11:41Z",
"owner_type": "Organization",
"updated_at": "2026-07-24T18:48:46Z",
"description": "Synthetic data curation for post-training and structured data extraction",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "bespokelabs.ai",
"name": "Bespoke Labs",
"type": "Organization",
"login": "bespokelabsai",
"company": null,
"location": "United States of America",
"followers": 128,
"avatar_url": "https://avatars.githubusercontent.com/u/167806754?v=4",
"created_at": "2024-04-22T18:08:06Z",
"is_verified": null,
"public_repos": 17,
"account_age_days": 825
},
"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": "v0.1.27",
"kind": "patch",
"published_at": "2026-03-15T17:57:15Z"
},
{
"tag": "v0.1.26",
"kind": "patch",
"published_at": "2025-07-29T18:39:32Z"
},
{
"tag": "v0.1.25",
"kind": "patch",
"published_at": "2025-05-30T17:59:06Z"
},
{
"tag": "v0.1.24",
"kind": "patch",
"published_at": "2025-05-06T16:45:57Z"
},
{
"tag": "v0.1.23.post1",
"kind": "other",
"published_at": "2025-04-11T23:11:14Z"
},
{
"tag": "v0.1.23",
"kind": "patch",
"published_at": "2025-04-11T16:28:58Z"
},
{
"tag": "v0.1.22",
"kind": "patch",
"published_at": "2025-03-31T06:56:51Z"
},
{
"tag": "v0.1.21",
"kind": "patch",
"published_at": "2025-03-19T23:21:12Z"
},
{
"tag": "v0.1.20",
"kind": "patch",
"published_at": "2025-02-28T19:30:56Z"
},
{
"tag": "v0.1.19.post1",
"kind": "other",
"published_at": "2025-02-26T20:26:21Z"
},
{
"tag": "0.1.19",
"kind": "patch",
"published_at": "2025-02-17T20:23:39Z"
},
{
"tag": "v0.1.18.post4",
"kind": "other",
"published_at": "2025-02-07T06:10:50Z"
},
{
"tag": "v0.1.18",
"kind": "patch",
"published_at": "2025-02-06T00:03:36Z"
},
{
"tag": "v0.1.17.post1",
"kind": "other",
"published_at": "2025-01-30T17:02:37Z"
},
{
"tag": "v0.1.17",
"kind": "patch",
"published_at": "2025-01-28T22:54:22Z"
},
{
"tag": "v0.1.16",
"kind": "patch",
"published_at": "2025-01-21T19:33:23Z"
},
{
"tag": "v0.1.15.post1",
"kind": "other",
"published_at": "2025-01-15T16:06:49Z"
},
{
"tag": "v0.1.15",
"kind": "patch",
"published_at": "2025-01-14T22:59:51Z"
},
{
"tag": "v0.1.14",
"kind": "patch",
"published_at": "2025-01-07T02:32:10Z"
},
{
"tag": "0.1.13",
"kind": "patch",
"published_at": "2024-12-23T07:42:07Z"
},
{
"tag": "v0.1.12",
"kind": "patch",
"published_at": "2024-12-17T06:51:50Z"
},
{
"tag": "v0.1.11",
"kind": "patch",
"published_at": "2024-12-06T04:47:35Z"
},
{
"tag": "v0.1.10",
"kind": "patch",
"published_at": "2024-11-26T23:39:01Z"
},
{
"tag": "v0.1.9.post1",
"kind": "other",
"published_at": "2024-11-19T19:53:23Z"
},
{
"tag": "v0.1.9",
"kind": "patch",
"published_at": "2024-11-16T00:24:17Z"
},
{
"tag": "v0.1.8",
"kind": "patch",
"published_at": "2024-11-15T01:08:59Z"
}
],
"recent_commits": [
{
"oid": "461b4170b96690873a152e829185a920a941b960",
"body": "Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: bump 0.1.29 (#728)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-07-13T12:16:31Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "08e42e726f193772f58230db5abd326b7c1b5b45",
"body": "Adds a native `backend=\"azure\"` batch request processor, since Azure OpenAI\nwas previously only reachable via the litellm backend, which doesn't support\nbatch mode. Batch was already supported natively for OpenAI, Anthropic,\nGemini, and Mistral, but not Azure.\n\nAzure's OpenAI-compatible \"v1\" API sur\n[…]\ncrosoft's current official\ndocumentation, and the integration test is left @pytest.mark.skip()-decorated\npending a run against a real resource.\n\nCo-authored-by: Claude Sonnet 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: add native Azure OpenAI batch backend (#538) (#727)",
"author_name": "EpicSRN021",
"author_login": "EpicSRN021",
"committed_at": "2026-07-13T02:00:10Z",
"body_truncated": true,
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},
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"oid": "b346fdf5810987be4426a6785ac4a6cb44b3bf35",
"body": "… (#725)\n\naiohttp.ClientSession ignores HTTP_PROXY/HTTPS_PROXY/ALL_PROXY unless\ntrust_env=True is set explicitly, unlike requests/httpx. Since the shared\nonline request path posts directly via aiohttp rather than the anthropic\nSDK client, proxy env vars were silently ignored, causing timeouts or\ndir\n[…]\nonments.\n\nSets trust_env=True on the shared aiohttp session used by all online\nrequest processors, and adds a regression test asserting the session\ncreated by aiohttp_connector trusts the environment.",
"is_bot": false,
"headline": "fix: honor system proxy env vars for Anthropic online requests (#699)…",
"author_name": "EpicSRN021",
"author_login": "EpicSRN021",
"committed_at": "2026-07-13T01:59:27Z",
"body_truncated": true,
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},
{
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"body": "litellm 1.83.7 exact-pins its transitive deps, so this also moves openai 2.28.0->2.30.0 and aiohttp 3.13.3->3.13.5, and pins pydantic 2.12.5, click 8.1.8, jsonschema 4.23.0, importlib-metadata 8.5.0, and python-dotenv 1.0.1 (pydantic-core and typer follow to stay compatible).",
"is_bot": false,
"headline": "chore: upgrade litellm to 1.83.7 (#722)",
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},
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"oid": "4e69044de34e8800622aaf496befa5725d8d0992",
"body": null,
"is_bot": false,
"headline": "Add Mistral batch finish reasons (#717)",
"author_name": "Blackdrome",
"author_login": "09Catho",
"committed_at": "2026-06-20T22:45:16Z",
"body_truncated": false,
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},
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"is_bot": false,
"headline": "chore: bump 0.1.28 (#721)",
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"author_login": "madiator",
"committed_at": "2026-06-14T02:38:22Z",
"body_truncated": false,
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},
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"oid": "be028ec3eef41e4296dc37c4a85b52ef48a8cacd",
"body": "* Fix code execution on the local sandbox backend\n\nSince #716, CodeExecutor with the default \"local\" backend always failed:\nthe command `cd /workspace && ...` escapes the sandbox path rebasing.\nHost-style sandbox backends (local, ray) map absolute paths under a temp\n$SANDBOX_ROOT via a shell prelude\n[…]\nocker/e2b/modal/ray/... backends, mostly unexercised here) entered the\ncoverage denominator and dropped the total from 79.5% to ~72%, tripping\nthe 80% gate. Measure only curator's own package instead.",
"is_bot": false,
"headline": "Fix code execution on the local sandbox backend (#720)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-06-11T06:09:22Z",
"body_truncated": true,
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},
{
"oid": "f060e1a8e3a2f7fd5f007145ec1fa1ed31377d00",
"body": "* Add FireworksTrainer for managed fine-tuning via Fireworks AI\n\nAdds a Fireworks AI integration to the finetune module behind the same\nBaseTrainer interface as TinkerTrainer:\n\n- FireworksTrainerConfig: validated SFT hyperparameters (LoRA rank,\n epochs, learning rate) plus deployment and polling se\n[…]\ne Fable 5 <noreply@anthropic.com>\n\n* Announce Fireworks fine-tuning integration in README\n\nAdd a What's New entry and a Finetuning/Distillation examples table row\nfor the FireworksTrainer integration.",
"is_bot": false,
"headline": "Add FireworksTrainer for managed fine-tuning via Fireworks AI (#719)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-06-11T05:56:17Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "8f26600e0a6b41f5fc1098ac2d4f22fe0ec95b97",
"body": "* Replace code execution backends with bespokelabs-sandbox\n\nRemove the four built-in execution backends (multiprocessing, docker, ray, e2b)\nand replace them with a single unified backend powered by bespokelabs-sandbox.\nThis delegates sandbox lifecycle, isolation, and multi-provider support to the\nsa\n[…]\n unit tests with fake sandbox for all error paths\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use bespokelabs-sandbox to run code in sandboxes (#716)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-28T05:18:41Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "cb11a56c87fb1939baf60f35e9cb93a85227d1e7",
"body": null,
"is_bot": false,
"headline": "Clean up dead code (#715)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-18T03:54:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fa05930bdf00f506e9880d5576462c0e63b8275f",
"body": null,
"is_bot": false,
"headline": "Fix simple_poem and use Sonnet 4.6 for multimodal testing (#714)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-17T07:17:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5af79b856f4c01de5117154f2d27a7750478223e",
"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: Break long line to satisfy ruff E501 lint rule",
"author_name": "Maheswaran Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-16T17:40:25Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "25a7eb60cca4fa2c9c3a12edeab1e00fdb1ee32c",
"body": "external_model_cost returns None when the provider isn't in the cost map,\ncausing a TypeError when multiplying None by 1_000_000.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: Handle None cost values in batch request processor set_model_cost",
"author_name": "Maheswaran Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-16T15:43:43Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "99191e679cac9d9187b07fb746e7536570be92da",
"body": "* Fix poem finetuning example and Tinker compatibility\n\n* Fix Tinker kwargs handling and poem example lint",
"is_bot": false,
"headline": "Fix poem finetuning example and Tinker compatibility (#712)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-16T05:12:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "734cf7b9299236c367163a43365c1b77d6ec885c",
"body": "Upgrade litellm (1.61.3 → 1.82.2), anthropic (0.47.2 → 0.84.0),\ninstructor (1.7.2 → 1.14.5), aiofiles (23.2.1 → 25.1.0), and other\ndependencies to their latest compatible versions. Add Tinker fine-tuning\nintegration to the What's New section in README.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: upgrade dependencies and add Tinker to What's New (#711)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-15T17:54:18Z",
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"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "chore: bump 0.1.27",
"author_name": "Maheswaran Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-14T23:02:36Z",
"body_truncated": false,
"is_coding_agent": true
},
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"oid": "fd50653eb213fd1b7783fe68313270c1245733b1",
"body": "…ith curator (#710)\n\n* Code clean up\n\n* feat: add Tinker SDK integration for LoRA fine-tuning with checkpointing\n\nIntegrate the Tinker SDK to enable real LoRA fine-tuning via the Tinker\nAPI. When a TINKER_API_KEY is provided and the tinker package is installed,\ntraining runs against the Tinker servi\n[…]\nready logged by per-step logging, preventing duplicate entries\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Add support for Tinker for finetuning after data is generated w…",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-03-14T22:56:54Z",
"body_truncated": true,
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"oid": "2b1904edd4f5381e3e8f97d06b177797e621c74b",
"body": null,
"is_bot": false,
"headline": "Code clean up (#708)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-01-24T03:36:31Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "43bd04115756c889f4222a655075d6bdcc700fe6",
"body": "* feat: add support for Claude 4.x and 3.7 models\n\nAdd multimodal and JSON format support for new Anthropic models:\n- Claude 4.5: sonnet, haiku, opus (claude-{model}-4-5-{date})\n- Claude 4.0/4.1: sonnet, opus (claude-{model}-4-{date})\n- Claude 3.7: sonnet (claude-3-7-sonnet-{date})\n\n🤖 Generated with\n[…]\nx variants)\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: add support for Claude 4.x and 3.7 models (#704)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-01-24T03:35:12Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "88cd9777396befea3cd6c2d751966b5c6daea04a",
"body": null,
"is_bot": false,
"headline": "Update README.md (#707)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-01-22T00:29:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "70dbf3ea9dce241ebf43bc81158c5094d5076231",
"body": null,
"is_bot": false,
"headline": "Fixed LiteLLM multi-hosted_vllm request address mixture. (#701)",
"author_name": "Mehmet Yigit Turali",
"author_login": "YigitTurali",
"committed_at": "2026-01-05T07:25:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4b41961db08c0c0beebeb4fa7b15cc6d032cf99d",
"body": null,
"is_bot": false,
"headline": "fix broken tests (#706)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2025-12-30T18:46:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3ee17108290535324abbdb64b91aab0a13fdf801",
"body": null,
"is_bot": false,
"headline": "ref: add version tag in lib (#696)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-07-10T13:56:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8389f4c6ee2150f845c27211505356a5ad474a2e",
"body": "* feat: auto batch mode\n\n* update test\n\n* fix test\n\n* ref: update auto batch size algorithm\n\n* ref: update algorihtm",
"is_bot": false,
"headline": "feat: auto batch mode (#691)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-25T18:50:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8a232eea348882edb16beecd4fe79e4262795165",
"body": "Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>",
"is_bot": false,
"headline": "fix: resolve Pydantic issues (#689)",
"author_name": "Emmanuel Ferdman",
"author_login": "emmanuel-ferdman",
"committed_at": "2025-06-13T11:15:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "chore: bump 0.1.26 (#686)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-06T17:36:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bf559d8d368f35aaf68da4a485b485211c0623d2",
"body": "* ref: refactor agent\n\n* fix: agent resume with stopping criterion\n\n* update\n\n* update",
"is_bot": false,
"headline": "Ref agent multiturn minor (#685)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-06T03:42:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "411f5054101b5a99685a69f3ce5cf8842940ee6b",
"body": "* ref: check structured outputs support with litellm\n\n* update\n\n* update",
"is_bot": false,
"headline": "ref: check structured outputs support with litellm (#683)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-04T18:14:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "645de4015b175c49949d489dc56fd08009d93bd9",
"body": "* fix torch error\n\n* modify test\n\n* ruff",
"is_bot": false,
"headline": "fix error when torch isn't installed (#663)",
"author_name": "Shreyas Pimpalgaonkar",
"author_login": "shreyaspimpalgaonkar",
"committed_at": "2025-06-04T15:36:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "70f2e8960145a2b59053dac0da17af25762dcc8b",
"body": null,
"is_bot": false,
"headline": "feat: add stopping criteron in agent (#684)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-04T06:13:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "92ab260097cf048e47c239a88cf5b08f4b605bff",
"body": "Co-authored-by: TheDude <kartik4949@gmail.com>",
"is_bot": false,
"headline": "If the model is not known, let the cost be None. (#681)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2025-06-03T22:45:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5cd48e77aa5f0f06c64e81d51c625ad079a6adbc",
"body": "* feat: add support to download dataset from viewer\n\n* add parquest support in load daatset\n\n* update",
"is_bot": false,
"headline": "feat: add support to download dataset from viewer (#652)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-02T03:44:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "fix: viewer url bug in curator response (#682)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-01T16:48:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "chore: bump 0.1.25 (#680)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-30T16:54:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8fe4f7b8bd18bede83ee37e7b69fdde3b1df45da",
"body": "* Add o3 to list of models supporting structured outputs\n\n* Add o3 to list of models supporting structured output.",
"is_bot": false,
"headline": "Add o3 to list of models supporting structured outputs (#679)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2025-05-30T16:36:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "05e9d7666b87cb762022e3447e27035f3d3c9ab9",
"body": null,
"is_bot": false,
"headline": "Delete HOSTED_CURATOR_VIEWER environment variable. (#674)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2025-05-24T02:23:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c5904fe71287d393265ea579fdf00a1238e59153",
"body": "* feat: add curator viewer in agent\n\n* endh",
"is_bot": false,
"headline": "Feat/add/curator/link/agent (#672)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-23T17:34:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e6f04b03b08a7321fbd69e96ea02fff19c1bf9e6",
"body": "* make agentic curation response format as openai\n\n* update example\n\n* update",
"is_bot": false,
"headline": "make agentic curation response format as openai (#673)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-23T06:16:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fd21a1fc3b38103afdb8c3d0b9ee7524025eda79",
"body": "* feat: add response object in agent\n\n* update test",
"is_bot": false,
"headline": "feat: add response object in agent (#671)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-23T03:23:11Z",
"body_truncated": false,
"is_coding_agent": false
},
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"oid": "86338af9d306fa8d5594ea541cb84d5ba8294694",
"body": null,
"is_bot": false,
"headline": "updated examples (#670)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-23T00:57:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cd2cf6ad7546c1343d46edb663d163c31307cdab",
"body": "I prefer to \"return\" as soon as possible.\nOtherwise, it's possible that one sets _request_processor at some place, but it gets modified erroneously elsewhere before returning at the very end.",
"is_bot": false,
"headline": "Clean up _factory.py (#668)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2025-05-23T00:38:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "269d133a07790b5fecec5636b116ca708dc37eb2",
"body": null,
"is_bot": false,
"headline": "update agentic multi turn example (#667)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-22T21:47:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d05fc9c6da1b688d4d4b59a9d5dc99149574a9d4",
"body": "* feat: add agentic conversation curator\n\n* feat: add agentic conversation curator\n\n* feat: add conversation support in multiturn\n\n* feat: status tracker and cost\n\n* update\n\n* update\n\n* update\n\n* update example\n\n* ruff",
"is_bot": false,
"headline": "Feat/agentic/multiturn (#658)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-21T13:03:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0ae417e5cab5891bb39d8c0afeb1e13aa71a3bb1",
"body": "* perf: make download batch lazy in gemini processor\n\n* ref: add support for cache dir in gemini batch gcs\n\n* perf: reduce memory footprint of batch in gemini\n\n* ref: add chunk streaming in batch mode\n\n* handle non async download returns",
"is_bot": false,
"headline": "perf: make download batch lazy in gemini processor (#654)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-20T00:59:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b54a9dc450d2ecd1a5edb06df8f5b499e3c38c3e",
"body": "Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>",
"is_bot": false,
"headline": "fix: migrate to `logger.warning` (#666)",
"author_name": "Emmanuel Ferdman",
"author_login": "emmanuel-ferdman",
"committed_at": "2025-05-13T05:34:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bde5473e51256c87cd6f0e252114c595620093e6",
"body": "* feat: add example of prescription extraction\n\n* add readme\n\n* update example",
"is_bot": false,
"headline": "feat: add example of prescription extraction (#661)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-07T17:57:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c45485912faa1d63ffec137919525a806cd439ab",
"body": "* init on submitted batch statistics account, not yet tested\n\n* checkpoint progress\n\n* update pbar for batch status tracker\n\n* fix test curator cli display",
"is_bot": false,
"headline": "Fix/curator-cli-batch-update-freq-increase (#632)",
"author_name": "Charlie Cheng-Jie Ji",
"author_login": "CharlieJCJ",
"committed_at": "2025-05-06T22:13:13Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "00ce9759ad69a1442ccc0b90bbaaa871dd78d255",
"body": "* Feat/openai/deepseek api\n\nfeat: make structured output supported in openai online for deepseek-reasoner model\n\n* deepseek samples to code-execution/math-animation\n\n* fix ruff format checked failed\n\n* fix math-animation/generate_script.py\nit should be the \"scripts_dataset\" to save and push_to_hub",
"is_bot": false,
"headline": "Feat/openai/deepseek api (#640)",
"author_name": "feng lui",
"author_login": "fenglui",
"committed_at": "2025-05-06T22:11:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9dd2d25928837a59162870f1a251dccd94d7346c",
"body": null,
"is_bot": false,
"headline": "docs: revert lint changes",
"author_name": "Trung Vu",
"author_login": "vutrung96",
"committed_at": "2025-05-06T18:58:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "31e46115458a44feb7dbc9d01092fc59ddad40a0",
"body": null,
"is_bot": false,
"headline": "docs: fix typo",
"author_name": "Trung Vu",
"author_login": "vutrung96",
"committed_at": "2025-05-06T18:58:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "docs: small tweaks",
"author_name": "Trung Vu",
"author_login": "vutrung96",
"committed_at": "2025-05-06T18:58:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e0da9c8291a51853a75371db1a547efda3c49cc4",
"body": null,
"is_bot": false,
"headline": "docs: clean up wording",
"author_name": "Trung Vu",
"author_login": "vutrung96",
"committed_at": "2025-05-06T18:58:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fdecd96627e2b5b0745312394e2cab984b2d7b27",
"body": null,
"is_bot": false,
"headline": "fix: small typo in doc",
"author_name": "Trung Vu",
"author_login": "vutrung96",
"committed_at": "2025-05-05T21:19:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "docs: updated README with authentication",
"author_name": "Trung Vu",
"author_login": "vutrung96",
"committed_at": "2025-05-05T21:19:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a5b551ac0a4b253d1ee5bbb41d5408501b585ab2",
"body": "* init\n\n* update curator response\n\n* update tests\n\n* feat: add warning in curator response",
"is_bot": false,
"headline": "feat: add response object in curator (#643)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-05T12:45:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d0aae819fcac6c7d184ab3462f6a0641c4dad410",
"body": null,
"is_bot": false,
"headline": "chore: bump 0.1.24 (#659)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-02T07:21:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "401f689f2b31b51cf572815933098d83783bf680",
"body": "* ref: support anthropic backend for multimodal input\n\n* ref: remove openai multimodal check",
"is_bot": false,
"headline": "ref: support anthropic backend for multimodal input (#656)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-05-02T06:36:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1e30df6791da2b422d54e7059b1351aa5b648b63",
"body": null,
"is_bot": false,
"headline": "ref: check job state before download in gemini (#646)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-04-22T13:52:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3cd80238f1d4539b24bb5db5fa3b8ce0339702ef",
"body": null,
"is_bot": false,
"headline": "Update anthropic_online_request_processor.py (#649)",
"author_name": "Ryan Marten",
"author_login": "RyanMarten",
"committed_at": "2025-04-22T08:31:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5537f1b30b293db4b6024de65b1ff417f1121264",
"body": "* feature: set dtype flag\n\n* add type annotation for dtype\n\n* fix: initialize dtype attribute in BaseOfflineRequestProcessor to resolve AttributeError",
"is_bot": false,
"headline": "feature: set dtype flag (#645)",
"author_name": "Aakash Thatte",
"author_login": "sky-2002",
"committed_at": "2025-04-22T06:00:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4d24b8fef799d78dcf9fe2ae325ae5be695e5cce",
"body": "* add display fixes for batch\n\n* fix cost processor not using batch cost\n\n* fix batch=True cost calculation for all providers\n\n* moved cost processor to base class",
"is_bot": false,
"headline": "fix/final_statistics_display_fixes (#644)",
"author_name": "Charlie Cheng-Jie Ji",
"author_login": "CharlieJCJ",
"committed_at": "2025-04-17T20:16:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "44b32861a94112b00d2147c03cc410cb17b23bef",
"body": null,
"is_bot": false,
"headline": "feat: add gpt-4.1 structured output mapping",
"author_name": "Mithil Poojary",
"author_login": "Mithil467",
"committed_at": "2025-04-17T13:26:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0157982d27094127a37417595d725d0937f6be74",
"body": null,
"is_bot": false,
"headline": "feat: add gpt-4.1 structured output mapping",
"author_name": "Mithil Poojary",
"author_login": "Mithil467",
"committed_at": "2025-04-17T13:26:41Z",
"body_truncated": false,
"is_coding_agent": false
},
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"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "11 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
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}
}
],
"max_points": 10
},
{
"key": "wiki",
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"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "critical",
"name": "Security",
"value": 10,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"dependency_lockfiles"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [
"poetry.lock"
],
"manifests": [
"pyproject.toml"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"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": "at_risk",
"name": "Dependency advisories",
"note": "Matched the pypi:bespokelabs-curator@0.1.29 runtime dependency closure — what installing the published package pulls in — 114 packages. Reachability is not analyzed.",
"notes": [
{
"code": "advisories_scope_published",
"params": {
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"assessed": 114
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 44,
"inputs": {
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"advisories": 39,
"affected_packages": 5,
"assessed_packages": 114,
"unassessed_packages": 0,
"affected_by_severity": "critical 1, high 3, moderate 1",
"direct_affected_packages": 1
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "1 affected: litellm 1.83.7 (critical 9.8)",
"points": 7.6,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
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"packages": "litellm 1.83.7 (critical 9.8)"
}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "4 affected: aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high), +1 more",
"points": 6.6,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
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"packages": "aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high)"
}
},
{
"code": "advisories_affected_more",
"params": {
"count": 1
}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "2 advisory-carrying package(s) unaddressed past 90 days; oldest published 156 days ago",
"points": 29.9,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
"days": 90,
"count": 2,
"oldest": 156
}
}
],
"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": 114,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
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"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": 8
},
"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": 58,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 40,
"inputs": {
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"legible_history_share": 0.99,
"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": "99 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
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"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 79,
"inputs": {
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"has_tests": true,
"lockfiles": [
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],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
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"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0.12,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 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": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "12 of the last 100 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
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"sampled": 100
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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": "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": {
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"largest_source_bytes": 35987,
"source_files_sampled": 175,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
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"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
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}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/175 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
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"sampled": 175,
"oversized": 0
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}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
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"name": "Machine-readable interfaces",
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"notes": [],
"value": 40,
"inputs": {
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"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "mcp_server",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "runnable_examples",
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"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
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}
}
],
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}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? 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": [
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"OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-27T08:56:25.673742Z",
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"full_name": "bespokelabsai/curator",
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}