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Duckduckgo Search

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Tommy-yw
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.

Overview

PublisherTommy-yw
RepositoryRunbookHermes
Skill nameduckduckgo-search
Stars
546
Forks
41
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Tommy-yw on GitHub. Read the source before you install it.

Installation

Install the Duckduckgo Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/research/duckduckgo-search
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Tommy-yw/RunbookHermes.git /tmp/RunbookHermes
mkdir -p .claude/skills
cp -r /tmp/RunbookHermes/optional-skills/research/duckduckgo-search .claude/skills/duckduckgo-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Duckduckgo Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Duckduckgo Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Duckduckgo Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
# 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.

bash
# 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.

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

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

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

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

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

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

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

CLI Flags

FlagDescriptionExample
-qQuery — required-q "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.

python
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.

python
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.

python
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.

python
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:

bash
ddgs text -q "fastapi deployment guide" -m 3 -o json

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

python
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 -q and -m (CLI): -q is for the query, -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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Duckduckgo Search AI skill do?

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.

Why use Duckduckgo Search on TypingMind?

Because you install it once and use it with any model. Duckduckgo Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Duckduckgo Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/research/duckduckgo-search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Duckduckgo Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Duckduckgo Search?

As many as you like. As long as a model supports skills, you can use Duckduckgo Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Duckduckgo Search AI skill free?

Yes. It is published on GitHub by Tommy-yw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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