公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-30 18:53 UTC

K-Dense-AI / claude-skills-mcp

MCP server for searching and retrieving Scientific Agent Skills using vector search

PythonApache-2.0★ 395 星标⑂ 68 复刻始于 2025年10月在 GitHub 上查看 ↗

K-Dense-AI/claude-skills-mcp 的健康指数为 100 分中的 60 分,处于「中等」区间。 其得分最高的类别是Vitality(71/100),最低的是AI Readiness(36/100)。 最近一次更新在 10 天前。 近期的大部分工作由 1 位贡献者完成。

60
总分 / 100
中等

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。

60
优秀85-100堪称典范;基本满足所有检验标准
良好70-84健康;仅有轻微不足
中等50-69可接受,但存在明显不足;建议进行审查
存在风险30-49存在重大薄弱环节;采用时应保持审慎
危急1-29问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

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

所有权

K-Dense组织
1,326 关注者13 个公开仓库始于 2025年10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标签
PyPIclaude-skills-mcp-backend1.0.6-7279 天前agentaibackendclaudemcpscientificskillsvector-search
PyPIclaude-skills-mcp1.0.641510279 天前agentaiclaudemcpproxyskills

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?

71良好 · 占总体的 22%
评分方式
28.8/36推送新近度 — 最近一次推送于 10 天前
4.2/36提交节奏 — 52 周中有 6 周有提交
15.6/18提交量 — 最近一年 54 次提交
2/10OpenSSF Scorecard:Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
所用输入
commits_last_year54
human_commit_share1
days_since_last_push10
active_weeks_last_year6

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 10 个发布版本
36/36发布时效 — 最近一次发布版本于 10 天前
27/27发布节奏 — 约每 30.3 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count10
latest_release_tagv1.1.0
releases_from_tags
days_since_latest_release10
mean_days_between_releases30.3
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?

52中等 · 占总体的 18%
评分方式
42.1/60星标 — 395 个星标
15.2/25复刻 — 68 个复刻
2.7/15关注者 — 4 位关注者
所用输入
forks68
stars395
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

50中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(Apache-2.0)
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template
评分方式
34.9/80月度下载量 — pypi 合计每月 415 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
packagesclaude-skills-mcp-backend, claude-skills-mcp
dependents
ecosystemspypi
total_downloads
monthly_downloads415
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?

54中等 · 占总体的 24%
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
1.7/22.5提交分布 — 头号贡献者编写了 92% 的提交
2.7/13.5贡献者广度 — 2 位贡献者
3/10OpenSSF Scorecard:Contributors — project has 1 contributing companies or organizations -- score normalized to 3
所用输入
bus_factor1
contributors_sampled2
top_contributor_share0.925
评分方式
41.6/46.8议题解决 — 89% 的议题已关闭
19.1/38.3PR 接受 — 已裁定的 PR 中 4/8 已合并
0/15OpenSSF Scorecard:Code-Review — Found 1/22 approved changesets -- score normalized to 0
所用输入
merged_prs4
open_issues1
closed_issues8
issue_closed_ratio0.889
closed_unmerged_prs4
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
22.5/25所有者影响力 — K-Dense-AI 有 1,326 位关注者
9.9/25既往记录 — 13 个公开仓库,账户约 0 年
所用输入
followers1,326
owner_typeOrganization
is_verified
owner_loginK-Dense-AI
public_repos13
account_age_days286
评分方式
25/25已发布且可解析 — pypi 上有 2 个软件包
26/35发布时效 — 最近一次发布于 279 天前
20/20版本历史 — 10 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
packagesclaude-skills-mcp-backend, claude-skills-mcp
ecosystemspypi
any_deprecated
min_days_since_publish279

工程质量

基础的工程与文档实践是否到位?

71良好 · 占总体的 20%

工程实践

68中等
评分方式
24/24CI 工作流 — 1 个工作流
24/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 3 out of 3 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

75良好
评分方式
30/30README
25/25文档目录
0/15文档 / 主页站点
10/10仓库描述
0/10主题标签
10/10Wiki
所用输入
topics
has_wiki
homepage
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?

51中等 · 占总体的 16%

安全态势

39存在风险
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 3 out of 3 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
0/7.5Code-Review — Found 1/22 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
0/5Packaging — 无数据
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_aggregate3.9
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。
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages31
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:claude-skills-mcp@1.0.6 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 31 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。

36存在风险 · 占总体的 0%
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档(llms.txt)
40/40可读的提交历史 — 54 次人类提交中有 50 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_share0.926
agent_instruction_files
agent_instruction_max_bytes
评分方式
0/18一条命令的引导启动
22/22自动化测试
0/11Lint / 格式化配置
0/11静态类型检查
10/10可复现环境 — Dockerfile, lockfile
0/10已体现的代理实践 — 最近 54 次提交中没有代理编写的提交
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
55/55可控的文件大小 — 采样的 35 个源文件中有 0 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes32,903
source_files_sampled35
oversized_source_files0
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
20/20MCP 服务器
0/40可运行示例
所用输入
example_dirs
has_mcp_signal
api_schema_files

关键数据

395GitHub 星标
2贡献者
54最近 12 个月提交数
10距最近推送天数
10发布版本数
1巴士系数(bus factor)
1开放议题
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

更多细节

Star 与 Fork 历史 0 ★ / 68 ⇿
0Star
68Fork
10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。

01325385063756562025-102026-032026-07
主版本 1次版本 2修订 7
OpenSSF Scorecard 3.9 / 10
3.9综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。Scorecard v5.5.0 · 2026-07-30 18:53 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/22 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
不适用Packagingpackaging workflow not 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 11
注册表软件包版本约束清单文件
PyPImcp>=1.0.0packages/backend/pyproject.toml
PyPIsentence-transformers>=2.2.0packages/backend/pyproject.toml
PyPInumpy>=1.24.0packages/backend/pyproject.toml
PyPIhttpx>=0.24.0packages/backend/pyproject.toml
PyPIpyyaml>=6.0packages/backend/pyproject.toml
PyPItorch>=2.0.0packages/backend/pyproject.toml
PyPItorch>=2.0.0,<3.0.0packages/backend/pyproject.toml
PyPIstarlette>=0.27.0packages/backend/pyproject.toml
PyPIuvicorn>=0.23.0packages/backend/pyproject.toml
PyPImcp>=1.0.0packages/frontend/pyproject.toml
PyPIhttpx>=0.24.0packages/frontend/pyproject.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

依赖安全公告 0

安装 pypi:claude-skills-mcp@1.0.6 会引入 31 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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                "key": "license",
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                "key": "sast",
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                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:claude-skills-mcp@1.0.6 runtime dependency closure — what installing the published package pulls in — 31 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:claude-skills-mcp@1.0.6",
                  "assessed": 31
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 31,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 31,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 3
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 36,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.926,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "50 of 54 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 50,
                      "sampled": 54
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 32,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 54",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 54
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 32903,
              "source_files_sampled": 35,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/35 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 35,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "critical",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 20,
            "inputs": {
              "example_dirs": [],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T18:53:27.107949Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/K-Dense-AI/claude-skills-mcp.svg",
  "full_name": "K-Dense-AI/claude-skills-mcp",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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

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

单项结果在整体记录中的位置: 汇总统计PyPI.