公开记录
软件健康报告模式 0.27.0 · 指标 2.3.1 · 2026-08-01 09:32 UTC

vstorm-co / pydantic-ai-backend

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

PythonMIT★ 117 星标⑂ 23 复刻始于 2025年12月在 GitHub 上查看 ↗
类型如何判定

vstorm-co/pydantic-ai-backend 的健康指数为 100 分中的 90 分,处于「优秀」区间。 其得分最高的类别是Engineering Quality(96/100),最低的是Security(58/100)。 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。

90
总分 / 100
优秀

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均,再依据公开记录的分布进行校准,使各等级具有百分位含义;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 34(存在风险)的上限。

90
卓越93-100公开记录中的最高层级(约前 5%);基本满足所有检验标准
优秀80-92各方面均表现强劲;仅有少量不足
良好65-79健康;不足之处有限且可控
中等50-64可接受,但存在明显不足;建议进行审查
薄弱35-49多个领域存在实质性薄弱环节
存在风险20-34存在重大薄弱环节;采用时应保持审慎
危急1-19问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

加权总体分 76 经校准后在公布的指数量表上为 90(记录校准 2026-08-02)。

所有权

Vstorm组织
147 关注者34 个公开仓库始于 2021年3月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

软件包生态系统

注册表软件包版本月下载量版本数最近发布
PyPIpydantic-ai-backend0.2.18191,233360 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?

90优秀 · 占总体的 21%
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
18.7/36提交节奏 — 52 周中有 27 周有提交
18/18提交量 — 最近一年 167 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year167
human_commit_share0.92
days_since_last_push0
active_weeks_last_year27

发布纪律

100卓越
评分方式
27/27有发布版本 — 已发布 38 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 7.6 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count38
latest_release_tag0.2.18
releases_from_tags
days_since_latest_release0
mean_days_between_releases7.6
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良好 · 占总体的 17%
评分方式
33.5/60星标 — 117 个星标
11.2/25复刻 — 23 个复刻
2.7/15关注者 — 4 位关注者
所用输入
forks23
stars117
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

77良好
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
18/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme
has_license
readme_badges
has_contributing
has_issue_template
has_code_of_conduct
readme_badge_services
has_pull_request_template
评分方式
70.4/80月度下载量 — pypi 合计每月 191,233 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
packagespydantic-ai-backend
dependents
ecosystemspypi
total_downloads
monthly_downloads191,233
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?

66良好 · 占总体的 23%
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
5.3/22.5提交分布 — 头号贡献者编写了 76% 的提交
13.5/13.5贡献者广度 — 11 位贡献者
6/10OpenSSF Scorecard:Contributors — project has 2 contributing companies or organizations -- score normalized to 6
所用输入
bus_factor1
contributors_sampled11
top_contributor_share0.765
评分方式
37.3/42议题解决 — 89% 的议题已关闭
28.2/30PR 接受 — 已裁定的 PR 中 62/66 已合并
0/13Newcomer PR acceptance — 30 天内没有首次贡献者的 PR 得到裁决
1.5/15OpenSSF Scorecard:Code-Review — Found 4/23 approved changesets -- score normalized to 1
所用输入
merged_prs62
open_issues1
closed_issues8
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.889
closed_unmerged_prs4
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
已排除计分(无数据或不适用):newcomer_pr_acceptance。 其余权重已重新归一化。
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
15.6/25所有者影响力 — vstorm-co 有 147 位关注者
22/25既往记录 — 34 个公开仓库,账户约 5 年
所用输入
followers147
owner_typeOrganization
is_verified
owner_loginvstorm-co
public_repos34
account_age_days1,968
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 — 36 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
packagespydantic-ai-backend
ecosystemspypi
any_deprecated
min_days_since_publish0

工程质量

基础的工程与文档实践是否到位?

96卓越 · 占总体的 19%

工程实践

94卓越
评分方式
24/24CI 工作流 — 3 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

100卓越
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://vstorm-co.github.io/pydantic-ai-backend/
10/10仓库描述
10/10主题标签 — 17 个主题标签
10/10Wiki
所用输入
topicsai-agent-framework, aiagentframework, anthropic, backend, chatgpt, docker, framework, gemini, llms, mcp, multiagent, openai, pydantic, pydantic-ai, python, sandbox, vstorm
has_wiki
homepagehttps://vstorm-co.github.io/pydantic-ai-backend/
has_readme
has_docs_dir
has_description

安全

可见的安全与供应链实践是否稳固,且不存在未解决的高风险司法辖区暴露?

58中等 · 占总体的 16%

安全态势

58中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 4/23 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.8
已排除计分(无数据或不适用):branch_protection, signed_releases。 其余权重已重新归一化。

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?权重刻意设小(4%):代理工具链是一项真实的维护信号,但完全不具备的仓库仍可达到 100/100。

67良好 · 占总体的 4%
评分方式
45/45代理指令 — CLAUDE.md
0/15机器可读文档(llms.txt)
40/40可读的提交历史 — 92 次人类提交中有 75 次说明了意图(结构化标题或解释性正文)
所用输入
has_llms_txt
legible_history_share0.815
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes3,819
评分方式
18/18一条命令的引导启动 — Makefile
22/22自动化测试
11/11Lint / 格式化配置
0/11静态类型检查
0/10可复现环境
10/10已体现的代理实践 — 最近 100 次提交中有 14 次由代理编写或署名代理
8/8自动化维护 — 最近 100 次提交中有 8 次为自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_filesMakefile
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0.14
toolchain_manifests
dependency_bot_commit_share0.08
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
53.7/55可控的文件大小 — 采样的 84 个源文件中有 2 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes130,628
source_files_sampled84
oversized_source_files2
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
0/20MCP 服务器
40/40可运行示例 — examples
所用输入
example_dirsexamples
has_mcp_signal
api_schema_files

关键数据

117GitHub 星标
11贡献者
167最近 12 个月提交数
0距最近推送天数
38发布版本数
1巴士系数(bus factor)
1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
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead

更多细节

Star 与 Fork 历史 0 ★ / 23 ⇿
0Star
23Fork
35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。

048121620242322025-122026-042026-07
主版本 0次版本 2修订 33
OpenSSF Scorecard 5.8 / 10
5.8综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。Scorecard v5.5.0 · 2026-08-01 09:32 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/23 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 2
注册表软件包版本约束清单文件
PyPIpydantic>=2.0pyproject.toml
PyPIwcmatch>=8.0pyproject.toml
全部依赖 未采集

本报告未能采集到解析后的依赖集合:GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

原始 JSON 报告 机器可读
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          "body": "Split PDF/document handling out from the image path so the two content\nkinds stay clearly distinct and can evolve independently (e.g. OCR for\nimages, native document understanding or text-extraction fallbacks for\nPDF/DOCX).\n\n- Add a dedicated `document_support` flag and `max_document_bytes` limit\n  \n[…]\nary_within_limit` for the not-found/empty and\n  size-limit guards. read_file checks image_support then document_support\n  in both edit_format variants.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
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            "components": [
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                "name": "README",
                "detail": null,
                "points": 30,
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              {
                "key": "documentation_directory",
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                "points": 25,
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                "status": "met",
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                "key": "repository_description",
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                "points": 10,
                "status": "met",
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                "key": "topics",
                "name": "Topics",
                "detail": "17 topics",
                "points": 10,
                "status": "met",
                "details": [
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                "key": "wiki",
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        "key": "security",
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        "value": 58,
        "weight": 0.16,
        "metrics": [
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            "notes": [
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              {
                "code": "weights_renormalized",
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            "value": 58,
            "inputs": {
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                "points": 7.5,
                "status": "met",
                "details": [],
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              },
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                "key": "branch_protection",
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                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
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                "key": "fuzzing",
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                "points": 0,
                "status": "missed",
                "details": [],
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                "status": "met",
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              },
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                "key": "maintained",
                "name": "Maintained",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "points": 0,
                "status": "excluded",
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                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
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                "points": 0,
                "status": "missed",
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                "max_points": 7.5
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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                "points": 7.5,
                "status": "met",
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          },
          {
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            "notes": [
              {
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                "params": {}
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            "inputs": {
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              "red_flag": false,
              "exposures": [],
              "policy_countries": [
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                "Iran",
                "North Korea"
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              "below_threshold_exposures": [],
              "assessed_self_published_locations": 10
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 67,
        "weight": 0.04,
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            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": null,
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            "inputs": {
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              "legible_history_share": 0.815,
              "agent_instruction_files": [
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              ],
              "agent_instruction_max_bytes": 3819
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            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                "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": "75 of 92 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
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                      "legible": 75,
                      "sampled": 92
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 69,
            "inputs": {
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              "lockfiles": [],
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              "agent_commit_share": 0.14,
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              "dependency_bot_commit_share": 0.08
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                "key": "one_command_bootstrap",
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                "points": 18,
                "status": "met",
                "details": [
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                "key": "automated_tests",
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                "points": 22,
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              },
              {
                "key": "lint_format_config",
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                "points": 11,
                "status": "met",
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                "max_points": 11
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                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "reproducible_environment",
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                "detail": null,
                "points": 0,
                "status": "missed",
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              {
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                "detail": "14 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
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                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "detail": "8 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
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              "oversized_source_files": 2
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              },
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                "key": "manageable_file_sizes",
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                "detail": "2/84 source files over 60KB",
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            "value": 40,
            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": []
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                "key": "api_schema_openapi_graphql_proto",
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                "details": [],
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              },
              {
                "key": "mcp_server",
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              },
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                "points": 40,
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                "details": [
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                    "params": {
                      "files": "examples"
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                ],
                "max_points": 40
              }
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [
        "library"
      ],
      "scores": {
        "library": 6,
        "framework": 2
      },
      "primary": "library",
      "evidence": [
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "tags",
          "label": "framework",
          "source": "tag:framework",
          "weight": 2
        }
      ],
      "artifacts": [],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-01T09:32:35.244272Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/v/vstorm-co/pydantic-ai-backend.svg",
  "full_name": "vstorm-co/pydantic-ai-backend",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v2.3.1、模式 v0.27.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.