How do I install the Ddg Search skill?

Run npx skillmds@latest add robin-liquidium/ddg-search in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Ddg Search skill do?

DuckDuckGo web search fallback when primary search is rate-limited/weak. It is listed under Coding & Dev Tools on SkillMD.

Is Ddg Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ddg Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ddg Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ddg Search?

robin-liquidium (@robin-liquidium) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ddg Search by robin-liquidium — Agent Skill

Name: Ddg Search
Rating: 4.666666666666667 (3 reviews)
Author: robin-liquidium

File contents

ddg-search

Use the local skill script for lightweight DuckDuckGo search.

This skill exists to make fallback web search simple and low-noise instead of rebuilding ad hoc search helpers each time.

Quick rules

Prefer your normal primary search tool when it is healthy.
Use this skill when you need a fallback or a second source.
Keep searches narrow and intentional.
Prefer JSON output by default.
Use --text only when human-readable terminal output is actually more useful.
Use references/notes.md for quick guidance on when this tool fits.

Local setup

Prefer the skill-local script and cached virtualenv over any global CLI install. Treat the virtualenv under ~/.cache/ddg-search/venv as generated local state, not part of the skill itself. If the installer drops skill-local dotfiles, the bootstrap script recreates .gitignore automatically.

Bootstrap the local environment:

<skill-path>/scripts/bootstrap_venv.sh

After bootstrap, use:

<skill-path>/scripts/ddg-search

If the cached virtualenv is missing later, just run the bootstrap script again.

Commands

Show built-in help

<skill-path>/scripts/ddg-search help

Text search

<skill-path>/scripts/ddg-search search 'openclaw github'

News search

<skill-path>/scripts/ddg-search search 'bitcoin etf' --type news --timelimit d --max-results 10

Image search

<skill-path>/scripts/ddg-search search 'bitcoin logo' --type images --max-results 10

Video search

<skill-path>/scripts/ddg-search search 'openai launch' --type videos --timelimit w --max-results 10

Restrict to one site

<skill-path>/scripts/ddg-search search 'python dataclasses' --site docs.python.org

Reverse result order

<skill-path>/scripts/ddg-search search 'openai launch' --type videos --max-results 10 --reverse

Instant-answer lookup

<skill-path>/scripts/ddg-search instant 'weather berlin'

Resolve a DuckDuckGo bang

<skill-path>/scripts/ddg-search bang w 'OpenAI'

Workflow

Read references/notes.md if you want quick selection guidance.
Ensure the cached virtualenv is bootstrapped.
Use search for normal search, instant for instant-answer lookups, and bang when a DuckDuckGo bang is the cleanest path.
Parse JSON output by default.
Cross-check with another source when the question is important.

Expected outputs

The tool returns JSON by default. Parse it instead of scraping text.

Use --text when you want a readable terminal view.

search returns query metadata plus results
instant returns instant-answer style structured fields
bang returns the DuckDuckGo URL plus the resolved redirect/final URL

Files

Source repo: https://github.com/robin-liquidium/ddg-search-cli
Launcher: scripts/ddg-search
Python implementation: scripts/ddg_search.py
Local bootstrap: scripts/bootstrap_venv.sh
Notes: references/notes.md
~/.cache/ddg-search/venv is generated local state and can be recreated with <skill-path>/scripts/bootstrap_venv.sh

When to stop and ask

Stop and ask before:

turning this into browser automation
adding scraping-heavy flows
adding provider-specific hacks that make the wrapper fragile
changing default behavior from lightweight fallback search to something much broader

---name: ddg-searchdescription: DuckDuckGo web search fallback when primary search is rate-limited/weak.--- # ddg-search Use the local skill script for lightweight DuckDuckGo search. This skill exists to make fallback web search simple and low-noise instead of rebuilding ad hoc search helpers each time. ## Quick rules - Prefer your normal primary search tool when it is healthy. - Use this skill when you need a fallback or a second source. - Keep searches narrow and intentional. - Prefer JSON output by default. - Use `--text` only when human-readable terminal output is actually more useful. - Use `references/notes.md` for quick guidance on when this tool fits. ## Local setup Prefer the skill-local script and cached virtualenv over any global CLI install. Treat the virtualenv under `~/.cache/ddg-search/venv` as generated local state, not part of the skill itself. If the installer drops skill-local dotfiles, the bootstrap script recreates `.gitignore` automatically. Bootstrap the local environment: ```bash <skill-path>/scripts/bootstrap_venv.sh ``` After bootstrap, use: ```bash <skill-path>/scripts/ddg-search ``` If the cached virtualenv is missing later, just run the bootstrap script again. ## Commands ### Show built-in help ```bash <skill-path>/scripts/ddg-search help ``` ### Text search ```bash <skill-path>/scripts/ddg-search search 'openclaw github' ``` ### News search ```bash <skill-path>/scripts/ddg-search search 'bitcoin etf' --type news --timelimit d --max-results 10 ``` ### Image search ```bash <skill-path>/scripts/ddg-search search 'bitcoin logo' --type images --max-results 10 ``` ### Video search ```bash <skill-path>/scripts/ddg-search search 'openai launch' --type videos --timelimit w --max-results 10 ``` ### Restrict to one site ```bash <skill-path>/scripts/ddg-search search 'python dataclasses' --site docs.python.org ``` ### Reverse result order ```bash <skill-path>/scripts/ddg-search search 'openai launch' --type videos --max-results 10 --reverse ``` ### Instant-answer lookup ```bash <skill-path>/scripts/ddg-search instant 'weather berlin' ``` ### Resolve a DuckDuckGo bang ```bash <skill-path>/scripts/ddg-search bang w 'OpenAI' ``` ## Workflow 1. Read `references/notes.md` if you want quick selection guidance. 2. Ensure the cached virtualenv is bootstrapped. 3. Use `search` for normal search, `instant` for instant-answer lookups, and `bang` when a DuckDuckGo bang is the cleanest path. 4. Parse JSON output by default. 5. Cross-check with another source when the question is important. ## Expected outputs The tool returns JSON by default. Parse it instead of scraping text. Use `--text` when you want a readable terminal view. - `search` returns query metadata plus `results` - `instant` returns instant-answer style structured fields - `bang` returns the DuckDuckGo URL plus the resolved redirect/final URL ## Files - Source repo: `https://github.com/robin-liquidium/ddg-search-cli` - Launcher: `scripts/ddg-search` - Python implementation: `scripts/ddg_search.py` - Local bootstrap: `scripts/bootstrap_venv.sh` - Notes: `references/notes.md` - `~/.cache/ddg-search/venv` is generated local state and can be recreated with `<skill-path>/scripts/bootstrap_venv.sh` ## When to stop and ask Stop and ask before: - turning this into browser automation - adding scraping-heavy flows - adding provider-specific hacks that make the wrapper fragile - changing default behavior from lightweight fallback search to something much broader

Frequently asked questions

Ddg Search