skills/pravidhi-net/skills/pravidhi-ddgs-internet-search

pravidhi-ddgs-internet-search

SKILL.md

Internet Search Skill (DDGS)

Developed and maintained by Pravidhi

This skill performs internet searches using the DuckDuckGo Search library. It is designed to be low-friction and context-safe for AI agents.

Prerequisite: Installation

This skill requires the duckduckgo-search library. Install it in your agent's active Python environment.

pip install duckduckgo-search

Usage

Standard Search: Execute the script using your active Python interpreter.

# Syntax: python scripts/search.py -q "QUERY" -m MAX_RESULTS

python scripts/search.py -q "AI funding 2026" -m 3

Safe Mode (Use if getting timeouts): The script includes a --safe flag that adds extra delay (3s) and disables aggressive backends.

python scripts/search.py -q "latest linux kernel features" -m 5 --safe

Known Limitations & Troubleshooting

Warning: This skill relies on scraping DuckDuckGo. It is not an official API.

  1. Rate Limiting / IP Blocking:

    • Symptom: 429 Too Many Requests or Ratelimit errors.
    • Cause: Cloud/Datacenter IPs (AWS, GCP) are often flagged by DuckDuckGo.
    • Fix: Wait 60 seconds. Try the --safe flag. If persistent, use a residential proxy or switch to an API-based skill.
  2. Soft Failures:

    • The script is designed to "soft fail". Instead of crashing with a non-zero exit code, it will return a JSON object with status: error. Agents should parse the JSON output to handle errors gracefully.

References

Weekly Installs
14
GitHub Stars
1
First Seen
Mar 1, 2026
Installed on
opencode14
gemini-cli14
github-copilot14
codex14
kimi-cli14
amp14