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Keyword Research

Name: Keyword Research
Author: brasco05

作者 brasco05 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

120

总下载

当前安装

版本数

在 OpenClaw 中安装

/install keyword-research1

功能描述

Multi-source keyword intelligence and autocomplete research. Fetches real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo — no API key required...

使用说明 (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 --expand on the most promising source for deeper research
Export with --json to 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
--expand only works on Google (most reliable for 2nd-level fetching)

安全使用建议

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.

功能分析

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.

能力评估

✓ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install keyword-research1
安装完成后，直接呼叫该 Skill 的名称或使用 /keyword-research1 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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

元数据

Slug keyword-research1

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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