菜单
Reproduce lab external API/DB eval using docs/ops/LAB_EXTERNAL_CONNECTIVITY_EVAL.md, scripts/lab-external-smoke.ps1, and private configs — token-aware.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/DataBoar/data-boar --skill lab-external-connectivity-eval命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Guides Python3 programs that access databases and filesystems to detect possible personal or sensitive data using regex and ML, aligned with LGPD, GDPR and similar norms. Use when implementing or reviewing PII/sensitive data detection, compliance scanning, crawlers, or pattern recognition for data protection laws.
Use when deciding how to run lint, tests, commit/PR, or Docker homelab steps. Prefer repo scripts (check-all, lint-only, quick-test, commit-or-pr, docker-lab-build, docker-hub-pull, docker-prune-local) over ad-hoc commands to save tokens and keep behaviour consistent.
Checklist for enforcing NASA-style active voice, LCM Level 1/2 verbs, and canonical Data Boar lexicon stability in code, docs, commit messages, and PR reviews. Use when writing or reviewing docstrings, module comments, PowerShell CBH, Python function names, technical docs, or any prose produced for this repo.
| name | lab-external-connectivity-eval |
| description | Reproduce lab external API/DB eval using docs/ops/LAB_EXTERNAL_CONNECTIVITY_EVAL.md, scripts/lab-external-smoke.ps1, and private configs — token-aware. |
Operator wants external (internet or read-only public DB) connector checks alongside LAB_SMOKE_MULTI_HOST; or chat token external-eval.
docs/ops/LAB_EXTERNAL_CONNECTIVITY_EVAL.md (EN) or .pt_BR.md.docs/private.example/homelab/config.external-eval.example.yaml → docs/private/..\scripts\lab-external-smoke.ps1 from repo root (quick HTTPS probe). Optional -TcpHost / -TcpPort after firewall open toward hub.deploy/lab-smoke-stack/docker-compose.mongo.yml for local MongoDB seeds.uv run python main.py --config ... per USAGE.md — include at least one E2E-OK and one E2E-FAIL-EXPECTED target per session.docs/private/homelab/LAB_EXTERNAL_EVAL_MASTER.pt_BR.md (operator detail, if present).