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/johnalbertini14-glitch/openclaw-skills --skill ddg-search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。
Use this skill to create a Polymarket wallet for your agent and trade on prediction markets. Browse markets, place bets, manage positions — all without exposing private keys.
ClawSec suite manager with embedded advisory-feed monitoring, cryptographic signature verification, approval-gated malicious-skill response, and guided setup for additional security skills.
Automated daily security audits for OpenClaw agents with email reporting. Runs deep audits and sends formatted reports.
基于 SOC 职业分类
正在显示 SKILL.md
| name | ddg-search |
| description | DuckDuckGo HTML search scraper CLI with JSON, CSV, OpenSearch, markdown, and compact outputs. |
| homepage | https://github.com/camohiddendj/ddg-search |
| metadata | {"openclaw":{"emoji":"🦆","requires":{"bins":["ddg-search"]},"install":[{"id":"node","kind":"node","package":"ddg-search","bins":["ddg-search"],"label":"Install ddg-search CLI (npm)"}]}} |
Search DuckDuckGo from the command line. Results go to stdout; progress goes to stderr.
ddg-search "query" # default: JSON, 5 pages
ddg-search -f compact "query" # minimal-token output (best for LLM context)
ddg-search -f jsonl "query" # one JSON object per line
ddg-search -n 10 "query" # stop after 10 results
ddg-search -p 2 -f json "query" # 2 pages, JSON
ddg-search -r us-en -t w "recent topic" # US-English, past week
ddg-search -p 0 "query" # unlimited pages (scrape all)
| Flag | Long | Description | Default |
|---|---|---|---|
-f | --format | Output format: json, jsonl, csv, opensearch, markdown, compact | json |
-p | --pages | Max pages to scrape (0 = unlimited) | 5 |
-n | --max-results | Stop after this many results | all |
-r | --region | Region code (e.g. us-en, uk-en) | all regions |
-t | --time | Time filter: d (day), w (week), m (month), y (year) | none |
compact: Use for feeding results into an LLM. Minimal tokens, no JSON overhead.jsonl: Use when piping to line-oriented tools or streaming processors.json: Use when you need structured data with OpenSearch metadata, zero-click answers, and spelling corrections. Pipe through jq for field extraction (e.g. | jq '.items[].link').csv: Use for spreadsheets or tabular analysis.markdown: Use for human-readable output or embedding in documents.opensearch: Use when producing Atom XML feeds.ddg-search "query" | jq -r '.items[].link'