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/Betterness/betterness-cli --skill betterness-knowledge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
Browse and search available lab tests with prices and included markers.
Install, uninstall, and manage Betterness MCP server integrations for AI clients (Claude, Cursor, Windsurf).
Manage authentication — OAuth login, API key login, logout, and verify identity.
| name | betterness-knowledge |
| version | 1.0.0 |
| description | Search the Betterness knowledge library — files and videos via OpenSearch full-text search. |
| metadata | {"category":"service","requires":{"bins":["betterness"]}} |
PREREQUISITE: Read
../betterness-shared/SKILL.mdfor auth, global flags, and security rules.
betterness knowledge <command> [flags]
knowledge searchSearch Betterness-published knowledge (files and videos). Uses OpenSearch full-text search on title and summary fields.
# Search by text
betterness knowledge search -s "nutrition" --json
# Only videos
betterness knowledge search --type VIDEO --json
# Only documents, sorted A-Z
betterness knowledge search --type DOCUMENT --sort ASC --json
# Paginate results
betterness knowledge search -s "sleep" --page 0 --page-size 5 --json
# Oldest content first
betterness knowledge search --sort OLDEST --json
| Option | Description |
|---|---|
-s, --search <text> | Full-text search query |
--type <type> | DOCUMENT or VIDEO (default: both) |
--sort <method> | ASC, DESC, LATEST, OLDEST (default: LATEST) |
--page <n> | Page number, 0-indexed (default: 0) |
--page-size <n> | Results per page (default: 10) |
Returns: externalId, title, type, authors, score (0-100), date, url, coverImageUrl, reviewCount
Pagination info is printed to stderr: Page 1 — 10 of 42 results
-s for full-text search — it matches against title (boosted 3x) and summary.--type to search both files and videos at once.--page and --page-size to paginate through large result sets.score field is the average review score (0-100) from the community.