公开记录良好
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-25 06:59 UTC
MagnivOrg / prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
MagnivOrg/prompt-layer-library 的健康指数为 100 分中的 79 分，处于「良好」区间。 其得分最高的类别是Engineering Quality（90/100），最低的是AI Readiness（56/100）。 最近一次更新在 2 天前。 近期的大部分工作由 2 位贡献者完成。
79
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。
79
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 |
|---|---|---|---|---|---|
| PyPI | promptlayer | 1.5.1 | 482,214 | 190 | 2 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？
87
开发活跃度
86优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 2 天前 |
| 22.2/36 | 提交节奏 — 52 周中有 32 周有提交 |
| 18/18 | 提交量 — 最近一年 103 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 103 |
| human_commit_share | 0.94 |
| days_since_last_push | 2 |
| active_weeks_last_year | 32 |
发布纪律
88优秀
评分方式
| 16.2/27 | 有发布版本 — 24 个版本标签（无 GitHub 发布版本） |
| 36/36 | 发布时效 — 最近一次发布版本于 2 天前 |
| 27/27 | 发布节奏 — 约每 11.7 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 24 |
| latest_release_tag | v1.5.1 |
| releases_from_tags | 是 |
| days_since_latest_release | 2 |
| mean_days_between_releases | 11.7 |
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？
68
流行度与采用
67中等
评分方式
| 46.9/60 | 星标 — 780 个星标 |
| 16.3/25 | 复刻 — 92 个复刻 |
| 3.9/15 | 关注者 — 6 位关注者 |
所用输入
| forks | 92 |
| stars | 780 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
50中等
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） |
| 0/18 | 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 | 否 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| has_pull_request_template | 否 |
生态采用（下载量）
95优秀
评分方式
| 75.8/80 | 月度下载量 — pypi 合计每月 482,214 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 | promptlayer |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 482,214 |
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？
76
维护者韧性（巴士系数）
61中等
评分方式
| 25.2/54 | 巴士系数 — 2 位贡献者贡献了半数提交 |
| 12.7/22.5 | 提交分布 — 头号贡献者编写了 44% 的提交 |
| 13.5/13.5 | 贡献者广度 — 25 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 4 contributing companies or organizations |
所用输入
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0.437 |
议题与 PR 响应能力
86优秀
评分方式
| 39.5/46.8 | 议题解决 — 84% 的议题已关闭 |
| 31.3/38.3 | PR 接受 — 已裁定的 PR 中 184/225 已合并 |
| 15/15 | OpenSSF Scorecard：Code-Review — all changesets reviewed |
所用输入
| merged_prs | 184 |
| open_issues | 15 |
| closed_issues | 81 |
| issue_closed_ratio | 0.844 |
| closed_unmerged_prs | 41 |
所有权与托管责任
63中等
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 13.7/25 | 所有者影响力 — MagnivOrg 有 79 位关注者 |
| 19.5/25 | 既往记录 — 25 个公开仓库，账户约 4 年 |
所用输入
| followers | 79 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MagnivOrg |
| public_repos | 25 |
| account_age_days | 1,676 |
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 2 天前 |
| 20/20 | 版本历史 — 190 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 | promptlayer |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 2 |
工程质量
基础的工程与文档实践是否到位？
90
工程实践
100优秀
评分方式
| 24/24 | CI 工作流 — 3 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard：CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 是 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
75良好
评分方式
| 30/30 | README |
| 0/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://www.promptlayer.com |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 6 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | gpt, machine-learning, openai, prompt, prompt-engineering, python |
| has_wiki | 是 |
| homepage | https://www.promptlayer.com |
| has_readme | 是 |
| has_docs_dir | 否 |
| 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？
69
安全态势
61中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — 无数据 |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 77 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6.1 |
已排除计分（无数据或不适用）：packaging, signed_releases。 其余权重已重新归一化。
依赖安全公告
100优秀
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
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 37 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
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:promptlayer@1.5.1 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 37 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。
56
AI 代理上下文与指引
36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） |
| 36.3/40 | 可读的提交历史 — 94 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 | 否 |
| legible_history_share | 0.681 |
| 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 — devcontainer, 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 — dependency not pinned by hash detected -- score normalized to 0 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | poetry.lock, uv.lock |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | Makefile |
| has_devcontainer | 是 |
| 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
54中等
评分方式
| 0/45 | 可类型检查的代码 — Python，未配置类型检查 |
| 54/55 | 可控的文件大小 — 采样的 114 个源文件中有 2 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 98,660 |
| source_files_sampled | 114 |
| oversized_source_files | 2 |
关键数据
780GitHub 星标
25贡献者
103最近 12 个月提交数
2距最近推送天数
24发布版本数
2巴士系数（bus factor）
15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 ★ / 92 ⇿
0Star
92Fork
21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 4修订 17
每个点涵盖 4 天。
OpenSSF Scorecard 6.1 / 10
6.1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）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 不适用 | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 77 existing vulnerabilities detected |
直接依赖 15
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | requests | ^2.31.0 | pyproject.toml |
| PyPI | opentelemetry-api | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-sdk | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | ^1.26.0 | pyproject.toml |
| PyPI | aiohttp | ^3.10.10 | pyproject.toml |
| PyPI | httpx | ^0.28.1 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | centrifuge-python | ^0.4.1 | pyproject.toml |
| PyPI | tenacity | ^9.1.2 | pyproject.toml |
| PyPI | cachetools | ^5.0.0 | pyproject.toml |
| PyPI | openai-agents | ^0.3.3 | pyproject.toml |
| PyPI | claude-agent-sdk | >=0.1.45,<1.0.0 | pyproject.toml |
| PyPI | eval-type-backport | ^0.3.1 | pyproject.toml |
| PyPI | jinja2 | ^3.1.6 | pyproject.toml |
| PyPI | rich | >=13.0.0 | pyproject.toml |
全部依赖 108
来自 GitHub 依赖图的完整解析依赖集合：14 个直接依赖与 94 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 | aiohttp | 3.10.10 | 直接 |
| PyPI | cachetools | 5.5.2 | 直接 |
| PyPI | centrifuge-python | 0.4.1 | 直接 |
| PyPI | claude-agent-sdk | 0.1.49 | 直接 |
| PyPI | eval-type-backport | 0.3.1 | 直接 |
| PyPI | httpx | 0.28.1 | 直接 |
| PyPI | jinja2 | 3.1.6 | 直接 |
| PyPI | nest-asyncio | 1.6.0 | 直接 |
| PyPI | openai-agents | 0.3.3 | 直接 |
| PyPI | opentelemetry-api | 1.26.0 | 直接 |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.26.0 | 直接 |
| PyPI | opentelemetry-sdk | 1.26.0 | 直接 |
| PyPI | requests | 2.31.0 | 直接 |
| PyPI | tenacity | 9.1.2 | 直接 |
| PyPI | ably | 2.1.1 | 间接 |
| PyPI | aioboto3 | 13.4.0 | 间接 |
| PyPI | aiobotocore | 2.18.0 | 间接 |
| PyPI | aiofiles | 24.1.0 | 间接 |
| PyPI | aiohappyeyeballs | 2.4.3 | 间接 |
| PyPI | aioitertools | 0.12.0 | 间接 |
| PyPI | aiosignal | 1.3.1 | 间接 |
| PyPI | annotated-types | 0.7.0 | 间接 |
| PyPI | anthropic | 0.84.0 | 间接 |
| PyPI | anyio | 4.8.0 | 间接 |
| PyPI | async-timeout | 4.0.3 | 间接 |
| PyPI | attrs | 23.2.0 | 间接 |
| PyPI | boto3 | 1.36.1 | 间接 |
| PyPI | botocore | 1.36.1 | 间接 |
| PyPI | certifi | 2024.2.2 | 间接 |
| PyPI | cffi | 2.0.0 | 间接 |
| PyPI | charset-normalizer | 3.3.2 | 间接 |
| PyPI | click | 8.3.1 | 间接 |
| PyPI | colorama | 0.4.6 | 间接 |
| PyPI | cryptography | 46.0.5 | 间接 |
| PyPI | deprecated | 1.2.14 | 间接 |
| PyPI | distro | 1.9.0 | 间接 |
| PyPI | docstring-parser | 0.17.0 | 间接 |
| PyPI | exceptiongroup | 1.2.1 | 间接 |
| PyPI | frozenlist | 1.4.1 | 间接 |
| PyPI | google-auth | 2.38.0 | 间接 |
| PyPI | google-genai | 1.46.0 | 间接 |
| PyPI | googleapis-common-protos | 1.73.0 | 间接 |
| PyPI | griffe | 1.14.0 | 间接 |
| PyPI | h11 | 0.14.0 | 间接 |
| PyPI | h2 | 4.1.0 | 间接 |
| PyPI | hpack | 4.0.0 | 间接 |
| PyPI | httpcore | 1.0.5 | 间接 |
| PyPI | httpx-sse | 0.4.3 | 间接 |
| PyPI | hyperframe | 6.0.1 | 间接 |
| PyPI | idna | 3.7 | 间接 |
| PyPI | importlib-metadata | 8.0.0 | 间接 |
| PyPI | iniconfig | 2.0.0 | 间接 |
| PyPI | jiter | 0.8.2 | 间接 |
| PyPI | jmespath | 1.0.1 | 间接 |
| PyPI | jsonschema | 4.26.0 | 间接 |
| PyPI | jsonschema-specifications | 2025.9.1 | 间接 |
| PyPI | markupsafe | 3.0.3 | 间接 |
| PyPI | mcp | 1.26.0 | 间接 |
| PyPI | methoddispatch | 3.0.2 | 间接 |
| PyPI | msgpack | 1.1.0 | 间接 |
| PyPI | multidict | 6.0.5 | 间接 |
| PyPI | openai | 1.109.1 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.26.0 | 间接 |
| PyPI | opentelemetry-processor-baggage | 0.61b0 | 间接 |
| PyPI | opentelemetry-proto | 1.26.0 | 间接 |
| PyPI | opentelemetry-semantic-conventions | 0.47b0 | 间接 |
| PyPI | packaging | 24.0 | 间接 |
| PyPI | pluggy | 1.5.0 | 间接 |
| PyPI | propcache | 0.2.0 | 间接 |
| PyPI | protobuf | 4.25.8 | 间接 |
| PyPI | pyasn1 | 0.6.1 | 间接 |
| PyPI | pyasn1-modules | 0.4.1 | 间接 |
| PyPI | pycparser | 3.0 | 间接 |
| PyPI | pydantic | 2.11.7 | 间接 |
| PyPI | pydantic-core | 2.33.2 | 间接 |
| PyPI | pydantic-settings | 2.10.1 | 间接 |
| PyPI | pyee | 11.1.1 | 间接 |
| PyPI | pyjwt | 2.12.1 | 间接 |
| PyPI | pytest | 8.2.0 | 间接 |
| PyPI | pytest-asyncio | 0.23.6 | 间接 |
| PyPI | pytest-network | 0.0.1 | 间接 |
| PyPI | pytest-parametrize-cases | 0.1.2 | 间接 |
| PyPI | python-dateutil | 2.9.0.post0 | 间接 |
| PyPI | python-dotenv | 1.1.1 | 间接 |
| PyPI | python-multipart | 0.0.22 | 间接 |
| PyPI | pywin32 | 311 | 间接 |
| PyPI | pyyaml | 6.0.2 | 间接 |
| PyPI | referencing | 0.37.0 | 间接 |
| PyPI | rpds-py | 0.30.0 | 间接 |
| PyPI | rsa | 4.9 | 间接 |
| PyPI | s3transfer | 0.11.3 | 间接 |
| PyPI | six | 1.16.0 | 间接 |
| PyPI | sniffio | 1.3.1 | 间接 |
| PyPI | sse-starlette | 3.3.2 | 间接 |
| PyPI | starlette | 0.52.1 | 间接 |
| PyPI | tomli | 2.0.1 | 间接 |
| PyPI | tqdm | 4.66.4 | 间接 |
| PyPI | types-requests | 2.31.0.6 | 间接 |
| PyPI | types-urllib3 | 1.26.25.14 | 间接 |
| PyPI | typing-extensions | 4.14.0 | 间接 |
| PyPI | typing-inspection | 0.4.1 | 间接 |
| PyPI | urllib3 | 1.26.20 | 间接 |
| PyPI | uvicorn | 0.42.0 | 间接 |
| PyPI | vcrpy | 6.0.2 | 间接 |
| PyPI | websockets | 15.0.1 | 间接 |
| PyPI | wrapt | 1.16.0 | 间接 |
| PyPI | yarl | 1.15.2 | 间接 |
| PyPI | zipp | 3.19.2 | 间接 |
依赖安全公告 0
安装 pypi:promptlayer@1.5.1 会引入 37 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
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"body": null,
"is_bot": false,
"headline": "links",
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{
"oid": "b33e4183fb385294af78df48c8a8d61d75109d46",
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"is_bot": false,
"headline": "update details",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:50:24Z",
"body_truncated": false,
"is_coding_agent": false
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{
"oid": "73c8dbe0e8634ef05336d2e46c1bdb192060375c",
"body": null,
"is_bot": false,
"headline": "add visual flair",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:24:30Z",
"body_truncated": false,
"is_coding_agent": false
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{
"oid": "97c65ce7ed7289143e5847c082bed45310894d32",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:18:42Z",
"body_truncated": false,
"is_coding_agent": false
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{
"oid": "4c80383ef1344a8afe601de120db3882ac123917",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:14:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3c823b0dfd60a91537218b979e3e18a9e3dfbde",
"body": null,
"is_bot": false,
"headline": "Fix for Skills (#313)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-17T15:19:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2b80d61830d4cd3efa33d5344c98d5e6aae1c83a",
"body": null,
"is_bot": false,
"headline": "Cache invalidate (#312)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-13T14:28:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "12d9ccbbaf26132b0ed4c453769101b5fd193c28",
"body": null,
"is_bot": false,
"headline": "Add Skill Collections functionality to SDK (#311)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-08T15:57:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b796cad4fa6e02881f922ec0bb6cc24e83df694b",
"body": "## Summary\n- Introduced a new `PromptTemplateCache` class for thread-safe in-memory\ncaching of prompt templates with TTL support.\n- Updated `TemplateManager` and `AsyncTemplateManager` to utilize the\ncaching mechanism, improving performance by reducing API calls.\n- Added a `cache_ttl_seconds` parame\n[…]\n[ ] Verified caching behavior with various prompt requests.\n- [ ] Ensured backward compatibility with existing functionality.\n- [ ] Ran unit tests to confirm no regressions in template fetching\nlogic.",
"is_bot": false,
"headline": "SDK cache (#310)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-01T15:32:53Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "707f5526e2974d3745220c28fb56f615f20cf876",
"body": "## Summary\n- Vendors latest Claude Code trace plugin which rewrites shell+CLI logic\n(`jq`, `uuidgen`, `curl`) into a pure Python `hooks/py/` package,\nremoving external CLI dependencies that caused DX friction for SDK users\n- Updates `_REQUIRED_VENDOR_FILES` in `config.py`, vendor script, and\ntests to match new plugin structure\n- Bumps SDK version to 1.2.3\n\n## Test plan\n- [x] `make vendor-claude-agents-plugin` succeeds\n- [x] `make lint` passes\n- [x] `test_claude_agents_config.py` — 11/11 pass",
"is_bot": false,
"headline": "Bump claude plugin: replace jq/uuidgen/curl with Python (#307)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-23T21:19:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cbf7647524b1f77d2f0c05007869d9c5c4696566",
"body": "…prompt\n\nfix: remove duplicate api_key arg in sync prompt() call",
"is_bot": false,
"headline": "Merge pull request #308 from MagnivOrg/fix/duplicate-api-key-in-sync-…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-23T21:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8baa42400916309668ac1f1120bf193223129ccd",
"body": "The sync prompt() function in track/track.py was passing api_key twice\nto promptlayer_track_prompt(), causing version and label to shift into\nwrong positions. The async aprompt() was already correct.\n\nBumps version to 1.2.3.",
"is_bot": false,
"headline": "fix: remove duplicate api_key arg in sync prompt() call",
"author_name": "NoamBenS",
"author_login": "NoamBenS",
"committed_at": "2026-03-23T21:02:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "abcb9939059afad570d4978c9b0046ef42449857",
"body": null,
"is_bot": false,
"headline": "Bump version to 1.2.2 (#306)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:37:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d32a08f9cf4e65c9bf926ba398f6090ff6cacfab",
"body": "## Summary\n- Vendor latest `promptlayer-claude-plugins`\n(MagnivOrg/promptlayer-claude-plugins#6)\n- Renames `$end` → `$end_time` jq variable in `build_span_json` — `$end`\nis reserved in jq 1.6 (Debian bookworm), causing spans to silently fail\n- Bump version to 1.2.1 (`pyproject.toml` + `__init__.py`)\n[…]\nenerated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix jq 1.6 compat in vendored Claude plugin, bump to 1.2.1 (#305)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:29:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "9ecb445bf89d938e5bf410fb3103cb3240c3f9f6",
"body": "Fix async stream crash: move stream check before model_dump",
"is_bot": false,
"headline": "Merge pull request #304 from MagnivOrg/fix/async-stream-model-dump",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:58:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71409ad0185d3b7f117fd4bb4e763d3bbf1dd1af",
"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump __version__ in __init__.py to 1.2.1",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:48Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "4748c1f52ea92f47eee06d74499c4f1715803c50",
"body": "In AsyncPromptLayer._run_internal, response.model_dump() was called\nbefore checking if stream=True. When streaming, the LLM returns an\nAsyncStream object which may not have model_dump, causing:\n AttributeError: 'AsyncStream' object has no attribute 'model_dump'\n\nThe sync version already had the cor\n[…]\n match: check stream first, return early with the raw\nstream, and only serialize for non-stream responses.\n\nBump version to 1.2.1.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix async stream crash: move stream check before model_dump (#304)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:06Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "3648d01ba5651cebec7d7208612cc854fcc84ede",
"body": "## Summary\n- add a new `promptlayer.integrations.claude_agents` integration with\n`get_claude_config()` and typed config objects\n- vendor the PromptLayer Claude plugin into the package and add a\nmaintainer vendoring script plus Make target\n- add packaging/test coverage for the optional `claude-agents\n[…]\n of `get_claude_config()`\n- Verified E2E locally\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Claude Agents integration (#303)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T13:08:08Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c5dccaeb6ef4cebad02866a5f095bff109860016",
"body": "## Summary\n\nAdd OpenAI Agents tracing support by translating Agents traces into OTLP\nspans for PromptLayer ingestion.\n\n## What changed\n\n- add `promptlayer.integrations.openai_agents`\n- implement an OpenAI Agents `TracingProcessor` that:\n - creates a synthetic root span per Agents trace\n - maps Age\n[…]\nbulk` tracing path unchanged\n- bump the package version to `1.1.1`\n- Updated `ruff` and `readme` to support `3.9+`\n\n## Validation\n\n- `ruff format .`\n- `ruff check .`\n- `pytest -q`\n\nResult: `93 passed`",
"is_bot": false,
"headline": "Add OpenAI Agents OTLP tracing integration (#302)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-17T16:38:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d3b5f9f9f0bc3156ad81d9dbe9e9d7495dc7b367",
"body": "…blueprint\n\nAdd streaming blueprint support for built-in tools across multiple providers (Google, Anthropic, OpenAI)",
"is_bot": false,
"headline": "Merge pull request #301 from MagnivOrg/usama/builtin-tools-streaming-…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T21:44:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6fb380481608117a114f273f3fa6e7cc2a23fc64",
"body": null,
"is_bot": false,
"headline": "fix: Bumped SDK version and resolved feedback",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T20:53:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ae8a4d8623ebed32637d7f014e07b0a1b5cde4f",
"body": null,
"is_bot": false,
"headline": "fix: Resolve PR feedback and comments",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T19:28:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "93330c994cd23fd670a0e0e662212c7f13ddb6dc",
"body": null,
"is_bot": false,
"headline": "fix: Fix pre-commit formatting issues",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:11:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0ac62fe64039e096d7d774c03d4040c029f623e1",
"body": null,
"is_bot": false,
"headline": "fix: Linter formatting fix",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:03:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d35cec528832dd5a443be253061eebfbb42c2c14",
"body": "…ple providers (Google, Anthropic, OpenAI)\n\n - Map OpenAI Responses API tools: shell, apply-patch, MCP, image generation, code interpreter, web search\n - Map Anthropic tools: web search with citations, bash, text editor\n - Map Google tools: code execution, image output, URL context, file search, Maps search\n - Add OpenAI Images API streaming support\n - Add type definitions for all new content types\n - Provider metadata only includes fields actually present in the raw response",
"is_bot": false,
"headline": "feat: Add streaming blueprint support for built-in tools across multi…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T16:56:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aef13166e40bbca5d475363f5dae0450634b2e89",
"body": "## Summary\n- When fetching a prompt template (via `TemplateManager.get()` or\n`AsyncTemplateManager.get()`), automatically set `promptlayer.prompt.*`\nattributes as baggage on the OpenTelemetry span\n- Attributes include `name`, `id`, `version`, and `label`\n- This enables OTLP-based trace exporters to \n[…]\ntribute\ninjection, no-op on non-recording spans, and missing fields\n\n## Test plan\n- [x] Unit tests for `set_prompt_span_attributes` (4 tests, all passing)\n- [x] Full test suite passes (no regressions)",
"is_bot": false,
"headline": "feat: inject prompt template attributes onto OTEL spans (#300)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-05T15:34:00Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "fb5635bdfbeed4b967419693454a205d0fe077bd",
"body": "## Summary\n\nWhen `.run()` throws on an LLM call, the SDK now catches the exception,\nlogs it to PromptLayer with `status=ERROR`, `error_type`, and\n`error_message`, then re-raises. Also adds these fields to\n`log_request()` for manual callers. Error categorization is duck-typed —\nno provider imports in\n[…]\n Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Log failed LLM calls to PromptLayer before re-raising (#296)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-02-24T15:27:14Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c9ecfe6a5113c7566c75f286951fc5eeb88a21e4",
"body": "- Added tests for workflow timeout\n- Version bump",
"is_bot": false,
"headline": "Added test for workflow-timeout (#293)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2026-02-23T22:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1dd278f2f415ff03072e34a93615ae35df8aa57c",
"body": "I need to be able to add a timeout for my workflow execution. I think\nthat it is a good idea to provide this feature in the library.\n\nThe PR Introduces an optional `timeout` parameter for workflow\nexecution, allowing operations to exit if they exceed the specified time\nlimit. Updated both synchronou\n[…]\nexecution paths to\nhandle timeouts using `asyncio.wait_for`.\nThe API change is backward compatible, if no timeout is specified the\nbehavior is unchanged.\n\nCo-authored-by: Rémi Pradal <rpradal@ekie.co>",
"is_bot": false,
"headline": "feat: Add support for timeout in workflow execution (#286)",
"author_name": "Rémi Pradal",
"author_login": "rpradal",
"committed_at": "2026-02-09T14:08:56Z",
"body_truncated": true,
"is_coding_agent": false
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{
"oid": "3203b5d376dde4506b9da87c2c5374298e16fca4",
"body": "Co-authored-by: d3vv3r <ananalabinfowayne@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>",
"is_bot": false,
"headline": "Claude/slack add tests url encode q zuzo (#291)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-21T15:29:49Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "c58f9911184dbb704343d3820d42d1f915767662",
"body": "Cache LLM clients to prevent connection pool exhaustion",
"is_bot": false,
"headline": "Merge pull request #289 from MagnivOrg/cache-llm-clients",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T16:04:50Z",
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{
"oid": "ab3c25a487788a2eed682034c04feef339efbb64",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Update poetry.lock with cachetools",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:52:09Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "9f4daa34e6fd70d0358439904e579ac3fae7ab4c",
"body": "Switch from unbounded dict to cachetools.LRUCache with maxsize=100\nto prevent memory growth in long-running systems.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use LRUCache for bounded client caching",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:50:29Z",
"body_truncated": false,
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"oid": "b1b765cbce5f91fa9d5e18986ec86222808c3965",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 1.0.81",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:53:02Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "836dacbc0013d2bdbf69ce30d4c68e1ff88536a6",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:32Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "16a95817c85ca038debfa4ca0e1cb45dd4f8b737",
"body": "This reverts commit 157d4c382bba5ed230e404c0b183b72c5fb5de1a.",
"is_bot": false,
"headline": "Revert \"Cache LLM clients to prevent connection pool exhaustion\"",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "157d4c382bba5ed230e404c0b183b72c5fb5de1a",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:50:28Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "330fb36da743503c94b00324b215fe0bb9ae73a2",
"body": "Use shared requests.Session for connection pooling and retry on conne…",
"is_bot": false,
"headline": "Merge pull request #288 from MagnivOrg/fix/retry-on-connection-errors",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:57:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "690139c11a46fa2c29dd9408f0cb30d35403c86f",
"body": "…on errors, and add SDK headers\n\nChanges:\n1. Added thread-safe module-level requests.Session via _get_requests_session()\n with double-checked locking pattern for safe concurrent initialization\n\n2. Configured HTTPAdapter with configurable pool size (default 100) via env vars:\n - PROMPTLAYER_POOL_\n[…]\nonPool Max retries exceeded\" errors with\n\"NewConnectionError: No route to host\" when making many concurrent requests.\n\nBumps version to 1.0.80.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use shared requests.Session for connection pooling, retry on connecti…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:53:09Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "d524ef74b052d83c9f2001666570618501fe351b",
"body": null,
"is_bot": false,
"headline": "Fixed log request for responses api (#284)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-23T22:27:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "909626288c4ff05de5ea7b1030744d78062e2fc2",
"body": null,
"is_bot": false,
"headline": "Added openai code-interpreter tool (#283)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-01T15:53:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "01a77fd15864d42100b74295b8d31d86e4a56b6b",
"body": null,
"is_bot": false,
"headline": "Fixed escape symbols (#282)",
"author_name": "Pavel Kononov",
"author_login": "super-jaba",
"committed_at": "2025-11-24T23:35:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9b6a1c70dd9f207646bb2cf96b8ca5ff0c9536de",
"body": "Incorrect Latency",
"is_bot": false,
"headline": "Merge pull request #281 from MagnivOrg/fix-latency",
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"components": []
},
"categories": [
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{
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]
},
{
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"notes": [
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},
{
"code": "weights_renormalized",
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"inputs": {
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"components": [
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"key": "ships_releases",
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{
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"details": [
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{
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"details": [
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]
},
{
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"note": null,
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"inputs": {
"cap": null,
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"guards": [],
"signals": [],
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"components": [
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}
],
"max_points": 100
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]
}
],
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},
{
"key": "community",
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"value": 68,
"weight": 0.18,
"metrics": [
{
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"note": null,
"notes": [],
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"inputs": {
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"stars": 780,
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"growth_factor_pct": 100,
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"components": [
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"points": 46.9,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 780
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "92 forks",
"points": 16.3,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 92
}
}
],
"max_points": 25
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{
"key": "watchers",
"name": "Watchers",
"detail": "6 watchers",
"points": 3.9,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 6
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}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (Apache-2.0)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "Apache-2.0"
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],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
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"points": 0,
"status": "missed",
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},
{
"key": "issue_template",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
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]
},
{
"key": "ecosystem_adoption",
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"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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}
],
"value": 95,
"inputs": {
"packages": [
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 482214
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"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "482,214 downloads/month across pypi",
"points": 75.8,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 482214,
"ecosystems": "pypi"
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}
],
"max_points": 80
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{
"key": "registry_dependents",
"name": "Registry dependents",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
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]
}
],
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},
{
"key": "governance",
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"name": "Sustainability & Governance",
"value": 76,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
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"inputs": {
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"top_contributor_share": 0.437
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
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"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
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"count": 2
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}
],
"max_points": 54
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{
"key": "commit_distribution",
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"points": 12.7,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
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}
],
"max_points": 22.5
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{
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"status": "met",
"details": [
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"code": "contributors_sampled",
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}
],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
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"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
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"inputs": {
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"issue_closed_ratio": 0.844,
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"components": [
{
"key": "issue_resolution",
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"points": 39.5,
"status": "partial",
"details": [
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"code": "issues_closed_share",
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"share": 84
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}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
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"detail": "184/225 decided PRs merged",
"points": 31.3,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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}
],
"max_points": 38.25
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{
"key": "openssf_scorecard_code_review",
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"points": 15,
"status": "met",
"details": [],
"max_points": 15
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]
},
{
"key": "stewardship",
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"note": null,
"notes": [],
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"inputs": {
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"owner_type": "Organization",
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"owner_login": "MagnivOrg",
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"account_age_days": 1676
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"components": [
{
"key": "ownership_backing",
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"status": "met",
"details": [
{
"code": "owner_organization",
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}
],
"max_points": 30
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{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "79 followers of MagnivOrg",
"points": 13.7,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
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"login": "MagnivOrg"
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}
],
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{
"key": "track_record",
"name": "Track record",
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"points": 19.5,
"status": "partial",
"details": [
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"code": "public_repos",
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},
{
"code": "account_age_years",
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}
],
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 2
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"components": [
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"key": "published_resolvable",
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"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
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{
"key": "publish_recency",
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"detail": "latest publish 2 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
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}
],
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{
"key": "version_history",
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"detail": "190 published versions",
"points": 20,
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"details": [
{
"code": "published_versions",
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}
],
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{
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"code": "package_not_deprecated",
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],
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}
]
}
],
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},
{
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"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
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"notes": [],
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"inputs": {
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"name": "CI workflows",
"detail": "3 workflow(s)",
"points": 24,
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"details": [
{
"code": "ci_workflows",
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}
],
"max_points": 24
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{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
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"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
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"details": [],
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},
{
"key": "pre_commit_hooks",
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"status": "met",
"details": [],
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},
{
"key": "editorconfig",
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"detail": null,
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 75,
"inputs": {
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"components": [
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{
"key": "documentation_directory",
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{
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{
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],
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]
}
],
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],
"value": 61,
"inputs": {
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{
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{
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},
{
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{
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"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
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"details": [],
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},
{
"key": "dependency_update_tool",
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"status": "met",
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},
{
"key": "fuzzing",
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"detail": "project is not fuzzed",
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"status": "missed",
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},
{
"key": "license",
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"status": "met",
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},
{
"key": "maintained",
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"detail": "28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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 run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"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",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "77 existing vulnerabilities detected",
"points": 0,
"status": "missed",
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}
]
},
{
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"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:promptlayer@1.5.1 runtime dependency closure — what installing the published package pulls in — 37 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
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},
{
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{
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},
{
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}
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"affected_packages": 0,
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"unassessed_packages": 0,
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"direct_affected_packages": 0
},
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{
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"red_flag": false,
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
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{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
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{
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"name": "AI Readiness",
"value": 56,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"note": null,
"notes": [],
"value": 36,
"inputs": {
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"legible_history_share": 0.681,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"components": [
{
"key": "agent_instructions",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
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"max_points": 45
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
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{
"key": "legible_commit_history",
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"points": 36.3,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
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"sampled": 94
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"max_points": 40
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]
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{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
"value": 71,
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"has_tests": true,
"lockfiles": [
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"dependency_bot_commit_share": 0
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"components": [
{
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"points": 18,
"status": "met",
"details": [
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"code": "file_list",
"params": {
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{
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"points": 22,
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"max_points": 22
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{
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"points": 11,
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{
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"points": 0,
"status": "missed",
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{
"key": "reproducible_environment",
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"detail": "devcontainer, lockfile",
"points": 10,
"status": "met",
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"max_points": 10
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{
"key": "demonstrated_agent_practice",
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"points": 10,
"status": "met",
"details": [
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"max_points": 10
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{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
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],
"max_points": 8
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{
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"points": 0,
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
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],
"max_points": 45
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{
"key": "manageable_file_sizes",
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"points": 54,
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