본문으로 건너뛰기
cccskills
무료GitHub에 공개

duckduckgo-search

Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md8.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

DuckDuckGo Search

Free web search using DuckDuckGo. No API key required.

Preferred when web_search is unavailable or unsuitable (for example when FIRECRAWL_API_KEY is not set). Can also be used as a standalone search path when DuckDuckGo results are specifically desired.

Detection Flow

Check what is actually available before choosing an approach:

# Check CLI availability
command -v ddgs >/dev/null && echo "DDGS_CLI=installed" || echo "DDGS_CLI=missing"

Decision tree:

  1. If ddgs CLI is installed, prefer terminal + ddgs
  2. If ddgs CLI is missing, do not assume execute_code can import ddgs
  3. If the user wants DuckDuckGo specifically, install ddgs first in the relevant environment
  4. Otherwise fall back to built-in web/browser tools

Important runtime note:

  • Terminal and execute_code are separate runtimes
  • A successful shell install does not guarantee execute_code can import ddgs
  • Never assume third-party Python packages are preinstalled inside execute_code

Installation

Install ddgs only when DuckDuckGo search is specifically needed and the runtime does not already provide it.

# Python package + CLI entrypoint
pip install ddgs

# Verify CLI
ddgs --help

If a workflow depends on Python imports, verify that same runtime can import ddgs before using from ddgs import DDGS.

Method 1: CLI Search (Preferred)

Use the ddgs command via terminal when it exists. This is the preferred path because it avoids assuming the execute_code sandbox has the ddgs Python package installed.

# Text search
ddgs text -k "python async programming" -m 5

# News search
ddgs news -k "artificial intelligence" -m 5

# Image search
ddgs images -k "landscape photography" -m 10

# Video search
ddgs videos -k "python tutorial" -m 5

# With region filter
ddgs text -k "best restaurants" -m 5 -r us-en

# Recent results only (d=day, w=week, m=month, y=year)
ddgs text -k "latest AI news" -m 5 -t w

# JSON output for parsing
ddgs text -k "fastapi tutorial" -m 5 -o json

CLI Flags

FlagDescriptionExample
-kKeywords (query) — required-k "search terms"
-mMax results-m 5
-rRegion-r us-en
-tTime limit-t w (week)
-sSafe search-s off
-oOutput format-o json

Method 2: Python API (Only After Verification)

Use the DDGS class in execute_code or another Python runtime only after verifying that ddgs is installed there. Do not assume execute_code includes third-party packages by default.

Safe wording:

  • "Use execute_code with ddgs after installing or verifying the package if needed"

Avoid saying:

  • "execute_code includes ddgs"
  • "DuckDuckGo search works by default in execute_code"

Important: max_results must always be passed as a keyword argument — positional usage raises an error on all methods.

Text Search

Best for: general research, companies, documentation.

from ddgs import DDGS

with DDGS() as ddgs:
    for r in ddgs.text("python async programming", max_results=5):
        print(r["title"])
        print(r["href"])
        print(r.get("body", "")[:200])
        print()

Returns: title, href, body

News Search

Best for: current events, breaking news, latest updates.

from ddgs import DDGS

with DDGS() as ddgs:
    for r in ddgs.news("AI regulation 2026", max_results=5):
        print(r["date"], "-", r["title"])
        print(r.get("source", ""), "|", r["url"])
        print(r.get("body", "")[:200])
        print()

Returns: date, title, body, url, image, source

Image Search

Best for: visual references, product images, diagrams.

from ddgs import DDGS

with DDGS() as ddgs:
    for r in ddgs.images("semiconductor chip", max_results=5):
        print(r["title"])
        print(r["image"])
        print(r.get("thumbnail", ""))
        print(r.get("source", ""))
        print()

Returns: title, image, thumbnail, url, height, width, source

Video Search

Best for: tutorials, demos, explainers.

from ddgs import DDGS

with DDGS() as ddgs:
    for r in ddgs.videos("FastAPI tutorial", max_results=5):
        print(r["title"])
        print(r.get("content", ""))
        print(r.get("duration", ""))
        print(r.get("provider", ""))
        print(r.get("published", ""))
        print()

Returns: title, content, description, duration, provider, published, statistics, uploader

Quick Reference

MethodUse WhenKey Fields
text()General research, companiestitle, href, body
news()Current events, updatesdate, title, source, body, url
images()Visuals, diagramstitle, image, thumbnail, url
videos()Tutorials, demostitle, content, duration, provider

Workflow: Search then Extract

DuckDuckGo returns titles, URLs, and snippets — not full page content. To get full page content, search first and then extract the most relevant URL with web_extract, browser tools, or curl.

CLI example:

ddgs text -k "fastapi deployment guide" -m 3 -o json

Python example, only after verifying ddgs is installed in that runtime:

from ddgs import DDGS

with DDGS() as ddgs:
    results = list(ddgs.text("fastapi deployment guide", max_results=3))
    for r in results:
        print(r["title"], "->", r["href"])

Then extract the best URL with web_extract or another content-retrieval tool.

Limitations

  • Rate limiting: DuckDuckGo may throttle after many rapid requests. Add a short delay between searches if needed.
  • No content extraction: ddgs returns snippets, not full page content. Use web_extract, browser tools, or curl for the full article/page.
  • Results quality: Generally good but less configurable than Firecrawl's search.
  • Availability: DuckDuckGo may block requests from some cloud IPs. If searches return empty, try different keywords or wait a few seconds.
  • Field variability: Return fields may vary between results or ddgs versions. Use .get() for optional fields to avoid KeyError.
  • Separate runtimes: A successful ddgs install in terminal does not automatically mean execute_code can import it.

Troubleshooting

ProblemLikely CauseWhat To Do
ddgs: command not foundCLI not installed in the shell environmentInstall ddgs, or use built-in web/browser tools instead
ModuleNotFoundError: No module named 'ddgs'Python runtime does not have the package installedDo not use Python DDGS there until that runtime is prepared
Search returns nothingTemporary rate limiting or poor queryWait a few seconds, retry, or adjust the query
CLI works but execute_code import failsTerminal and execute_code are different runtimesKeep using CLI, or separately prepare the Python runtime

Pitfalls

  • max_results is keyword-only: ddgs.text("query", 5) raises an error. Use ddgs.text("query", max_results=5).
  • Do not assume the CLI exists: Check command -v ddgs before using it.
  • Do not assume execute_code can import ddgs: from ddgs import DDGS may fail with ModuleNotFoundError unless that runtime was prepared separately.
  • Package name: The package is ddgs (previously duckduckgo-search). Install with pip install ddgs.
  • Don't confuse -k and -m (CLI): -k is for keywords, -m is for max results count.
  • Empty results: If ddgs returns nothing, it may be rate-limited. Wait a few seconds and retry.

Validated With

Validated examples against ddgs==9.11.2 semantics. Skill guidance now treats CLI availability and Python import availability as separate concerns so the documented workflow matches actual runtime behavior.

🔗 Связи

  • [[000 - Map of Maps]] — REPO_DOCS
  • [[000 - Map of Maps]] — Map of Maps

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

1password

무료

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트

ibragimov-oasis의 스킬 모두 보기

이 스킬의 문제 신고