公开记录中等
软件健康报告模式 0.11.0 · 指标 1.13.0 · 2026-07-15 02:41 UTC
cdeust / Cortex
Persistent memory for Claude Code built on computational neuroscience, not just retrieval. 36 cited brain mechanisms consolidate what matters, keep it current as your project evolves, and reconstruct the right context at the right time — a living memory, not a flat RAG. Says "I don't know" when unsure, flags contradictions. Local-first · MCP · MIT.
cdeust/Cortex 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Vitality（86/100），最低的是Security（55/100）。 最近一次更新在今天。 近期的大部分工作由 1 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 | hypermnesia-mcp | 4.14.1 | 2,447 | 21 | 0 天前 | claude-codecognitive-profilingmcpmemory |
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？
86
开发活跃度
76良好
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 0 天前 |
| 11.8/36 | 提交节奏 — 52 周中有 17 周有提交 |
| 18/18 | 提交量 — 最近一年 1,003 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 1,003 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 17 |
发布纪律
100优秀
评分方式
| 27/27 | 有发布版本 — 已发布 86 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 0 天前 |
| 27/27 | 发布节奏 — 约每 0.4 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 86 |
| latest_release_tag | v4.14.1 |
| releases_from_tags | 否 |
| days_since_latest_release | 0 |
| mean_days_between_releases | 0.4 |
已排除计分（无数据或不适用）：OpenSSF Scorecard：Signed-Releases。 其余权重已重新归一化。
社区与采用
项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？
60
流行度与采用
40存在风险
评分方式
| 29.5/60 | 星标 — 67 个星标 |
| 8.3/25 | 复刻 — 11 个复刻 |
| 2.7/15 | 关注者 — 4 位关注者 |
所用输入
| forks | 11 |
| stars | 67 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
86优秀
评分方式
| 22.5/22.5 | README |
| 16.9/22.5 | 许可证 — 存在许可证文件，但不是可识别的许可证 |
| 18/18 | CONTRIBUTING 指南 |
| 13.5/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 是 |
生态采用（下载量）
56中等
评分方式
| 45.2/80 | 月度下载量 — pypi 合计每月 2,447 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 | hypermnesia-mcp |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2,447 |
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？
58
维护者韧性（巴士系数）
15危急
评分方式
| 9/54 | 巴士系数 — 1 位贡献者贡献了半数提交 |
| 0.2/22.5 | 提交分布 — 头号贡献者编写了 99% 的提交 |
| 5.4/13.5 | 贡献者广度 — 4 位贡献者 |
| 0/10 | OpenSSF Scorecard：Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
所用输入
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0.991 |
议题与 PR 响应能力
80良好
评分方式
| 44.5/46.8 | 议题解决 — 95% 的议题已关闭 |
| 35.4/38.3 | PR 接受 — 已裁定的 PR 中 86/93 已合并 |
| 0/15 | OpenSSF Scorecard：Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
所用输入
| merged_prs | 86 |
| open_issues | 2 |
| closed_issues | 40 |
| issue_closed_ratio | 0.952 |
| closed_unmerged_prs | 7 |
所有权与托管责任
56中等
评分方式
| 10/30 | 所有权背书 — 个人（用户）账户 |
| 0/20 | 已验证域名 — 不适用于个人账户 |
| 10.3/25 | 所有者影响力 — cdeust 有 26 位关注者 |
| 24.6/25 | 既往记录 — 52 个公开仓库，账户约 13 年 |
所用输入
| followers | 26 |
| owner_type | User |
| is_verified | — |
| owner_login | cdeust |
| public_repos | 52 |
| account_age_days | 4,941 |
已排除计分（无数据或不适用）：已验证域名。 其余权重已重新归一化。
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 0 天前 |
| 20/20 | 版本历史 — 21 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 | hypermnesia-mcp |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 0 |
工程质量
基础的工程与文档实践是否到位？
77
工程实践
68中等
评分方式
| 24/24 | CI 工作流 — 4 个工作流 |
| 24/24 | 存在测试 |
| 0/16 | Linter 配置 |
| 0/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard：CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 否 |
| has_precommit_config | 否 |
文档
90优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://ai-architect.tools |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 20 个主题标签 |
| 0/10 | Wiki |
所用输入
| topics | agent-memory-system, anthropic, causal-inference, claude, claude-code, claude-code-plugin, cognitive-architecture, cognitive-science, episodic-memory, hopfield-network, llm-memory, long-term-memory, mcp-server, memory, model-context-protocol, neuroscience, persistent-memory, predictive-coding, retrieval-augmented-generation, vector-search |
| has_wiki | 否 |
| homepage | https://ai-architect.tools |
| 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？
55
安全态势
55中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 19 out of 19 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 |
| 0/7.5 | Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 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 |
| 2.2/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5.5 |
已排除计分（无数据或不适用）：signed_releases。 其余权重已重新归一化。
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。
67
AI 代理上下文与指引
75良好
评分方式
| 45/45 | 代理指令 — CLAUDE.md |
| 0/15 | 机器可读文档（llms.txt） |
| 0/40 | 可读的提交历史 — 无数据 |
所用输入
| has_llms_txt | 否 |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 5,077 |
已排除计分（无数据或不适用）：可读的提交历史。 其余权重已重新归一化。
评分方式
| 18/18 | 一条命令的引导启动 — Makefile, docs/arxiv-thermodynamic/Makefile |
| 22/22 | 自动化测试 |
| 0/11 | Lint / 格式化配置 |
| 11/11 | 静态类型检查 — pyrightconfig.json |
| 10/10 | 可复现环境 — devcontainer, Dockerfile, lockfile |
| 0/10 | 已体现的代理实践 — 无数据 |
| 0/8 | 自动化维护 — 无数据 |
| 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 | uv.lock |
| has_dockerfile | 是 |
| typed_language | 否 |
| bootstrap_files | Makefile, docs/arxiv-thermodynamic/Makefile |
| has_devcontainer | 是 |
| has_linter_config | 否 |
| typecheck_configs | pyrightconfig.json |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
已排除计分（无数据或不适用）：已体现的代理实践, 自动化维护。 其余权重已重新归一化。
面向模型的代码可读性
82良好
评分方式
| 27/45 | 可类型检查的代码 — Python，已配置类型检查（pyrightconfig.json） |
| 54.8/55 | 可控的文件大小 — 采样的 959 个源文件中有 3 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 111,081 |
| source_files_sampled | 959 |
| oversized_source_files | 3 |
机器可读接口
20危急
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 20/20 | MCP 服务器 |
| 0/40 | 可运行示例 |
所用输入
| example_dirs | — |
| has_mcp_signal | 是 |
| api_schema_files | — |
关键数据
67GitHub 星标
4贡献者
1,003最近 12 个月提交数
0距最近推送天数
86发布版本数
1巴士系数（bus factor）
2开放议题
npm, PyPI软件包生态系统数
数据采集警告
- Could not fetch npm package 'hypermnesia-mcp' from its registry
更多细节
OpenSSF Scorecard 5.5 / 10
5.5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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 19 out of 19 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 |
| 0 | Code-Review | Found 0/27 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
直接依赖 6
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | fastmcp | >=2.0.0 | pyproject.toml |
| PyPI | pydantic | >=2.0.0 | pyproject.toml |
| PyPI | pydantic-settings | >=2.0.0 | pyproject.toml |
| PyPI | numpy | >=1.24.0 | pyproject.toml |
| PyPI | sentence-transformers | >=3.0.0 | pyproject.toml |
| PyPI | flashrank | >=0.2.0 | pyproject.toml |
全部依赖 196
来自 GitHub 依赖图的完整解析依赖集合：7 个直接依赖与 189 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 | fastmcp | 3.2.4 | 直接 |
| PyPI | flashrank | 0.2.10 | 直接 |
| PyPI | numpy | 2.4.4 | 直接 |
| PyPI | numpy | 2.2.6 | 直接 |
| PyPI | pydantic | 2.13.3 | 直接 |
| PyPI | pydantic-settings | 2.14.2 | 直接 |
| PyPI | sentence-transformers | 5.4.1 | 直接 |
| PyPI | aiofile | 3.9.0 | 间接 |
| PyPI | aiohappyeyeballs | 2.6.1 | 间接 |
| PyPI | aiohttp | 3.14.1 | 间接 |
| PyPI | aiosignal | 1.4.0 | 间接 |
| PyPI | annotated-doc | 0.0.4 | 间接 |
| PyPI | annotated-types | 0.7.0 | 间接 |
| PyPI | anyio | 4.13.0 | 间接 |
| PyPI | async-timeout | 5.0.1 | 间接 |
| PyPI | attrs | 26.1.0 | 间接 |
| PyPI | authlib | 1.7.2 | 间接 |
| PyPI | backports-asyncio-runner | 1.2.0 | 间接 |
| PyPI | backports-tarfile | 1.2.0 | 间接 |
| PyPI | beartype | 0.22.9 | 间接 |
| PyPI | cachetools | 7.0.6 | 间接 |
| PyPI | caio | 0.9.25 | 间接 |
| PyPI | certifi | 2026.2.25 | 间接 |
| PyPI | cffi | 2.0.0 | 间接 |
| PyPI | charset-normalizer | 3.4.7 | 间接 |
| PyPI | click | 8.3.2 | 间接 |
| PyPI | colorama | 0.4.6 | 间接 |
| PyPI | colorcet | 3.2.1 | 间接 |
| PyPI | coverage | 7.13.5 | 间接 |
| PyPI | cryptography | 48.0.1 | 间接 |
| PyPI | cuda-bindings | 13.2.0 | 间接 |
| PyPI | cuda-pathfinder | 1.5.3 | 间接 |
| PyPI | cuda-toolkit | 13.0.2 | 间接 |
| PyPI | cyclopts | 4.10.2 | 间接 |
| PyPI | datasets | 4.8.4 | 间接 |
| PyPI | datashader | 0.19.0 | 间接 |
| PyPI | dill | 0.4.1 | 间接 |
| PyPI | dnspython | 2.8.0 | 间接 |
| PyPI | docstring-parser | 0.18.0 | 间接 |
| PyPI | docutils | 0.22.4 | 间接 |
| PyPI | email-validator | 2.3.0 | 间接 |
| PyPI | exceptiongroup | 1.3.1 | 间接 |
| PyPI | filelock | 3.29.0 | 间接 |
| PyPI | flatbuffers | 25.12.19 | 间接 |
| PyPI | frozenlist | 1.8.0 | 间接 |
| PyPI | fsspec | 2026.2.0 | 间接 |
| PyPI | googleapis-common-protos | 1.75.0 | 间接 |
| PyPI | griffelib | 2.0.2 | 间接 |
| PyPI | h11 | 0.16.0 | 间接 |
| PyPI | hf-xet | 1.4.3 | 间接 |
| PyPI | httpcore | 1.0.9 | 间接 |
| PyPI | httpx | 0.28.1 | 间接 |
| PyPI | httpx-sse | 0.4.3 | 间接 |
| PyPI | huggingface-hub | 1.11.0 | 间接 |
| PyPI | hypermnesia-mcp | 4.14.1 | 间接 |
| PyPI | idna | 3.15 | 间接 |
| PyPI | igraph | 1.0.0 | 间接 |
| PyPI | importlib-metadata | 8.7.1 | 间接 |
| PyPI | iniconfig | 2.3.0 | 间接 |
| PyPI | jaraco-classes | 3.4.0 | 间接 |
| PyPI | jaraco-context | 6.1.2 | 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 | joblib | 1.5.3 | 间接 |
| PyPI | joserfc | 1.6.8 | 间接 |
| PyPI | jsonref | 1.1.0 | 间接 |
| PyPI | jsonschema | 4.26.0 | 间接 |
| PyPI | jsonschema-path | 0.4.5 | 间接 |
| PyPI | jsonschema-specifications | 2025.9.1 | 间接 |
| PyPI | keyring | 25.7.0 | 间接 |
| PyPI | leidenalg | 0.12.0 | 间接 |
| PyPI | libcst | 1.8.6 | 间接 |
| PyPI | linkify-it-py | 2.1.0 | 间接 |
| PyPI | llvmlite | 0.47.0 | 间接 |
| PyPI | markdown-it-py | 4.0.0 | 间接 |
| PyPI | markupsafe | 3.0.3 | 间接 |
| PyPI | mcp | 1.27.0 | 间接 |
| PyPI | mdit-py-plugins | 0.6.1 | 间接 |
| PyPI | mdurl | 0.1.2 | 间接 |
| PyPI | more-itertools | 11.0.2 | 间接 |
| PyPI | mpmath | 1.3.0 | 间接 |
| PyPI | multidict | 6.7.1 | 间接 |
| PyPI | multipledispatch | 1.0.0 | 间接 |
| PyPI | multiprocess | 0.70.19 | 间接 |
| PyPI | mutmut | 3.6.0 | 间接 |
| PyPI | networkx | 3.6.1 | 间接 |
| PyPI | networkx | 3.4.2 | 间接 |
| PyPI | numba | 0.65.1 | 间接 |
| PyPI | nvidia-cublas | 13.1.0.3 | 间接 |
| PyPI | nvidia-cuda-cupti | 13.0.85 | 间接 |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | 间接 |
| PyPI | nvidia-cuda-runtime | 13.0.96 | 间接 |
| PyPI | nvidia-cudnn-cu13 | 9.19.0.56 | 间接 |
| PyPI | nvidia-cufft | 12.0.0.61 | 间接 |
| PyPI | nvidia-cufile | 1.15.1.6 | 间接 |
| PyPI | nvidia-curand | 10.4.0.35 | 间接 |
| PyPI | nvidia-cusolver | 12.0.4.66 | 间接 |
| PyPI | nvidia-cusparse | 12.6.3.3 | 间接 |
| PyPI | nvidia-cusparselt-cu13 | 0.8.0 | 间接 |
| PyPI | nvidia-nccl-cu13 | 2.28.9 | 间接 |
| PyPI | nvidia-nvjitlink | 13.0.88 | 间接 |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | 间接 |
| PyPI | nvidia-nvtx | 13.0.85 | 间接 |
| PyPI | onnxruntime | 1.24.4 | 间接 |
| PyPI | onnxruntime | 1.24.3 | 间接 |
| PyPI | openapi-pydantic | 0.5.1 | 间接 |
| PyPI | opentelemetry-api | 1.43.0 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.43.0 | 间接 |
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原始 JSON 报告 机器可读
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},
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"note": null,
"notes": [],
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"inputs": {
"cap": null,
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],
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{
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}
],
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{
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"points": 8.3,
"status": "partial",
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],
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{
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]
},
{
"key": "community_health",
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"note": null,
"notes": [],
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"inputs": {
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"components": [
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{
"key": "license",
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"details": [
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"code": "license_custom",
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{
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{
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{
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{
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"components": [
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"status": "partial",
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}
],
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{
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],
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{
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"code": "bus_factor",
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}
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{
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],
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{
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"status": "missed",
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]
},
{
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"notes": [],
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}
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{
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"status": "partial",
"details": [
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{
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]
},
{
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"notes": [
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{
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"components": [
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{
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"code": "not_applicable_to_user_accounts",
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{
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{
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"inputs": {
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}
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{
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{
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{
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"points": 0,
"status": "missed",
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{
"key": "dangerous_workflow",
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{
"key": "dependency_update_tool",
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"status": "met",
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{
"key": "fuzzing",
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"status": "missed",
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{
"key": "license",
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"points": 2.2,
"status": "partial",
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{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "sast",
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"points": 5,
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{
"key": "security_policy",
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"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 7.5
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{
"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": "8 existing vulnerabilities detected",
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"status": "partial",
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"review_only_matches": 0,
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"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
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"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
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}
],
"max_points": 100
}
]
}
],
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{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 67,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
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