Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mupengi-bot/mupengism --skill duckduckgo-searchgit clone --depth 1 https://github.com/mupengi-bot/mupengismWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mupengi-bot/mupengism/duckduckgo-search)<a href="https://agentmods.dev/skills/mupengi-bot/mupengism/duckduckgo-search"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/duckduckgo-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mupengi-bot/mupengism/duckduckgo-search"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/duckduckgo-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.03303 |
| Opus 5 | $0.00023 | $0.01651 |
| Sonnet 5 | $0.00009 | $0.00661 |
| Haiku 4.5 | $0.00005 | $0.00330 |
Grade A, and why
duckduckgo-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ DEPRECATED: DuckDuckGo Web Search Skill
이 스킬은 더 이상 권장되지 않습니다.
👉 대신 사용하세요: web-claude (통합 검색)
/skills/web-claude/ 스킬이 3단계 fallback 전략을 제공합니다:
- web_search (Brave) — 빠르고 안정적
- duckduckgo-search — 프라이버시 중심 (이 스킬)
- claude.ai 브라우저 — 분석+검색
통합 검색은 자동으로 최적의 방법을 선택하고, 검색 결과를 memory/research/에 자동 캐시합니다.
마이그레이션:
# 기존
duckduckgo-search "검색어"
# 새 방식
"검색어 검색해줘" # 자동으로 web-claude가 최적 방법 선택
아래는 레거시 문서 (참고용)
这个技能通过 DuckDuckGo 搜索引擎实现网络搜索功能,帮助获取实时信息。
功能特性
- 🔍 基于 DuckDuckGo 的隐私友好型搜索
- 📰 支持新闻搜索
- 🖼️ 支持图片搜索
- 📹 支持视频搜索
- 🌐 无需 API Key,免费使用
- 🔒 保护隐私,不追踪用户
安装
# 使用 uv 安装(推荐)
uv pip install duckduckgo-search
# 或使用 pip 安装
pip install duckduckgo-search
快速开始
命令行方式
# 基础文本搜索
python -c "
from duckduckgo_search import DDGS
with DDGS() as ddgs:
results = list(ddgs.text('Python tutorial', max_results=5))
for r in results:
print(f\"标题: {r['title']}\")
print(f\"链接: {r['href']}\")
print(f\"摘要: {r['body']}\")
print('---')
"
搜索类型
1. 文本搜索 (Text Search)
最常用的搜索方式,返回网页结果:
python -c "
from duckduckgo_search import DDGS
query = 'your search query'
with DDGS() as ddgs:
results = list(ddgs.text(
query,
region='cn-zh', # 地区设置:cn-zh(中国), us-en(美国), wt-wt(全球)
safesearch='moderate', # 安全搜索:on, moderate, off
timelimit='m', # 时间范围:d(天), w(周), m(月), y(年), None(不限)
max_results=10 # 最大结果数
))
for i, r in enumerate(results, 1):
print(f\"{i}. {r['title']}\")
print(f\" URL: {r['href']}\")
print(f\" 摘要: {r['body'][:100]}...\")
print()
"
2. 新闻搜索 (News Search)
搜索最新新闻:
python -c "
from duckduckgo_search import DDGS
with DDGS() as ddgs:
results = list(ddgs.news(
'AI technology',
region='wt-wt',
safesearch='moderate',
timelimit='d', # d=过去24小时, w=过去一周, m=过去一月
max_results=10
))
for r in results:
print(f\"📰 {r['title']}\")
print(f\" 来源: {r['source']}\")
print(f\" 时间: {r['date']}\")
print(f\" 链接: {r['url']}\")
print()
"
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 486 lines · 46 tokens per session scan A e9eeb20dd858
duckduckgo-search is a skill published in the GitHub repository mupengi-bot/mupengism (10 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 3,303 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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