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 sairam0424/MindForge --skill duckduckgo-searchgit clone --depth 1 https://github.com/sairam0424/MindForgeWrote 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/sairam0424/mindforge/duckduckgo-search)<a href="https://agentmods.dev/skills/sairam0424/mindforge/duckduckgo-search"><img src="https://agentmods.dev/badge/skills/sairam0424/mindforge/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/sairam0424/mindforge/duckduckgo-search"><img src="https://agentmods.dev/badge/skills/sairam0424/mindforge/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 | $0.00057 | $0.02125 |
| Opus 5 | $0.00028 | $0.01063 |
| Sonnet 5 | $0.00011 | $0.00425 |
| Haiku 4.5 | $0.00006 | $0.00213 |
Grade A, and why
duckduckgo-search scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
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 `WebFetch`, browser tools, or curl. This is a copy
83% identical to duckduckgo-search — 44 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DuckDuckGo Search
Free web search using DuckDuckGo. No API key required.
Preferred when WebSearch 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:
- If
ddgsCLI is installed, preferBash+ddgs - If
ddgsCLI is missing, do not assumeBashcan importddgs - If the user wants DuckDuckGo specifically, install
ddgsfirst in the relevant environment - Otherwise fall back to built-in web/browser tools
Important runtime note:
- Terminal and
Bashare separate runtimes - A successful shell install does not guarantee
Bashcan importddgs - Never assume third-party Python packages are preinstalled inside
Bash
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 Bash when it exists. This is the preferred path because it avoids assuming the Bash sandbox has the ddgs Python package installed.
# 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
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.
- 10d ago First seen · 231 lines · 57 tokens per session scan A 1c315dc4cda6
duckduckgo-search is a skill published in the GitHub repository sairam0424/MindForge (0 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 2,125 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 83% identical to duckduckgo-search, differing in 44 lines, and is treated as a copy.
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