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Install in OpenClaw
/install keyword-research1
Description
Multi-source keyword intelligence and autocomplete research. Fetches real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo — no API key required...
README (SKILL.md)
Keyword Intelligence
Multi-source autocomplete fetcher — no API keys needed. Pulls real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo.
Quick Usage
# All sources, default language (de)
python3 scripts/fetch_suggestions.py "keyword"
# Specific sources
python3 scripts/fetch_suggestions.py "keyword" --sources google,youtube
# English / US region
python3 scripts/fetch_suggestions.py "keyword" --lang en --region us
# Expand mode: fetch suggestions of suggestions (10x more keywords)
python3 scripts/fetch_suggestions.py "keyword" --sources google --expand
# JSON output (for piping or further processing)
python3 scripts/fetch_suggestions.py "keyword" --json
Options
| Flag | Default | Description |
|---|---|---|
--sources |
all |
all or comma-separated: google, youtube, amazon, ddg |
--lang |
de |
Language code: de, en, tr, fr, es, ... |
--region |
de |
Region: de, us, tr, gb, ... |
--expand |
off | Fetches 2nd-level suggestions from Google (base keywords → ~10x results) |
--json |
off | Outputs JSON instead of formatted text |
Sources
- Google — Broadest coverage, best for general web search intent
- YouTube — Video content ideas, tutorials, how-to queries
- Amazon — Product/buying intent keywords (works best for product niches)
- DuckDuckGo — Privacy-focused users, tech/dev audience
Workflow
- Start with a seed keyword and
--sources all - Identify which source is most relevant for the use case
- Use
--expandon the most promising source for deeper research - Export with
--jsonto process or display the results
Notes
- No rate limits enforced, but add delays for large batch jobs (the script adds 0.2s between expand calls)
- Amazon suggestions may be empty for non-product keywords — expected behavior
- YouTube returns fewer results for niche/regional keywords
--expandonly works on Google (most reliable for 2nd-level fetching)
Usage Guidance
This skill appears to be what it claims: a small Python script that queries public autocomplete endpoints. Before using it: (1) review the included scripts/fetch_suggestions.py yourself (it is short and uses only the stdlib), (2) do not pass any sensitive or private strings as the seed keyword — those values are sent to third-party services, (3) run it locally in an environment you control (or sandbox) if you have concerns, (4) be aware of provider rate limits, possible captchas or blocking if you run large batches, and potential Terms-of-Service issues for scraping autocomplete endpoints, and (5) if you plan to automate via an agent, remember that the agent will send whatever keywords it queries to those external endpoints; restrict autonomous runs accordingly.
Capability Analysis
Type: OpenClaw Skill
Name: keyword-research1
Version: 1.0.0
The skill bundle is a legitimate keyword research tool that fetches autocomplete suggestions from public search engine APIs (Google, YouTube, Amazon, DuckDuckGo, and Bing). The Python script `scripts/fetch_suggestions.py` uses only standard libraries, properly sanitizes inputs via URL encoding, and contains no evidence of data exfiltration, unauthorized execution, or malicious prompt injection.
Capability Assessment
Purpose & Capability
The name/description promise (multi-source autocomplete suggestions) matches the provided SKILL.md and the script. The script queries Google, YouTube, Amazon, DuckDuckGo and Bing suggestion endpoints — exactly the advertised sources. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
SKILL.md instructs running the included Python script with flags. It does not instruct the agent to read arbitrary local files or hidden credentials. The runtime behavior (HTTP requests to public suggestion APIs, optional expand/dedup/output modes) is within the stated scope. Note: running the script transmits whatever seed keyword you provide to third-party suggestion endpoints (privacy consideration).
Install Mechanism
No install spec; this is instruction + included Python script that uses only the standard library. No downloads from external URLs or package registries occur during install. Risk from installation is low.
Credentials
The skill requests no environment variables or credentials (proportionate). However, it sends user-supplied keywords over the network to multiple third-party endpoints — avoid submitting sensitive data as input. There is no hidden credential access.
Persistence & Privilege
always:false and default agent invocation are used. The skill does not request persistent installation, modify other skills, or write agent/system-wide config. It will only run when invoked.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install keyword-research1 - After installation, invoke the skill by name or use
/keyword-research1 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
**Initial release of multi-source keyword suggestion tool with real-time autocomplete.**
- Fetches keyword suggestions from Google, YouTube, Amazon, and DuckDuckGo—no API key required
- Supports custom language and region for localized keyword results
- Includes "expand" mode to fetch suggestions of suggestions for larger keyword lists
- Outputs results in formatted text or JSON for easy integration
- Ideal for rapid keyword list building for SEO, content, ads, or niche research
Metadata
Frequently Asked Questions
What is Keyword Research?
Multi-source keyword intelligence and autocomplete research. Fetches real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo — no API key required... It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.
How do I install Keyword Research?
Run "/install keyword-research1" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Keyword Research free?
Yes, Keyword Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Keyword Research support?
Keyword Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Keyword Research?
It is built and maintained by brasco05 (@brasco05); the current version is v1.0.0.
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