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SEO Keyword Research Tool
by
potatosolo
· GitHub ↗
· v1.0.1
· MIT-0
131
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0
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Active Installs
2
Versions
Install in OpenClaw
/install seo-keyword-research-tool
Description
Automatically fetch YouTube video subtitles and generate concise summaries. Use when you need to summarize a YouTube video, get key points from a talk, or ex...
Usage Guidance
This skill appears to be what it says: a YouTube subtitle fetcher and summarizer. Before installing, note: (1) you need Python and to pip install the requirement (youtube-transcript-api) since there is no automated install step; (2) the tool fetches public YouTube captions over the network (it will not access private videos without appropriate access); (3) subtitle text will be passed to the AI model for summarization, which may send transcript content to external model providers — avoid sending sensitive or copyrighted transcripts if you need confidentiality; (4) verify you install youtube-transcript-api from the official PyPI package and run scripts in a controlled environment. If you want explicit guarantees about where summarization runs (local vs. external), or about handling of private/copyrighted content, ask the author for those details before use.
Capability Analysis
Type: OpenClaw Skill
Name: seo-keyword-research-tool
Version: 1.0.1
The skill bundle is a legitimate tool for fetching and summarizing YouTube video subtitles. It uses the standard 'youtube-transcript-api' library to retrieve captions and includes helper scripts (scripts/youtube_subtitles.py and scripts/summarize.py) for text processing and formatting. No evidence of data exfiltration, malicious execution, or prompt injection was found.
Capability Assessment
Purpose & Capability
The name/description (fetch YouTube subtitles and summarize) matches the included scripts (youtube_subtitles.py, summarize.py) and requirements (youtube-transcript-api). No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
SKILL.md and scripts instruct fetching public YouTube transcripts and passing subtitle text to an AI model for summarization. This is within scope, but the instructions imply sending transcript text to whatever AI model/service the agent uses — a potential privacy consideration (transcript contents may be transmitted to external model providers). The docs do not explicitly state where summarization runs or note privacy/PII handling.
Install Mechanism
No install spec is provided, but requirements.txt lists youtube-transcript-api (a PyPI package). This is expected for the stated purpose; however the package must be installed via pip before running. No high-risk download URLs or extract steps are present.
Credentials
The skill requests no environment variables, credentials, or config paths. The absence of secrets is proportional to its functionality. Note: youtube-transcript-api will make network calls to fetch public YouTube transcripts (normal for this task).
Persistence & Privilege
The skill is not always-enabled and does not request elevated privileges or modify other skills/configs. Autonomous invocation is allowed by default but not combined with other concerning flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install seo-keyword-research-tool - After installation, invoke the skill by name or use
/seo-keyword-research-tool - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Automatically fetch YouTube video subtitles and generate concise summaries. Saves hours of watching long videos when you just need the main ideas.
✨ Features:
- Get full subtitles from any public YouTube video
- Generate structured summaries with executive summary + key points
- Supports multiple languages
- Adjustable summary length
- Python scripts included for automation
Perfect for researchers, students, content curators, and anyone who wants to get key points quickly without watching the entire video. Works with auto-generated captions.
## What you can do:
- Summarize long lectures and talks for notes
- Get the main ideas from interviews without watching the whole video
- Quickly research multiple videos on a topic
- Extract key points for content creation
Scripts included:
- `youtube_subtitles.py` - Fetch subtitles directly from YouTube
- `summarize.py` - Clean and format text for AI summarization
v1.0.0
Complete systematic SEO keyword research workflow from seed keyword to clustered topic groups.
✨ Features:
- Generate 50+ keyword variations from a single seed keyword
- Question keywords (what, how, why, where) automatically included
- Automatic search intent classification (informational/commercial/transactional/navigational)
- Content type recommendations based on intent
- Export to CSV/JSON for further analysis
Helps you find low-competition, high-intent keywords for your content strategy. Perfect for bloggers, SEOs, and content marketers building topical authority.
## Included scripts:
- `generate_keywords.py` - Generate variations from seed
- `intent_classifier.py` - Automatic intent classification
Metadata
Frequently Asked Questions
What is SEO Keyword Research Tool?
Automatically fetch YouTube video subtitles and generate concise summaries. Use when you need to summarize a YouTube video, get key points from a talk, or ex... It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.
How do I install SEO Keyword Research Tool?
Run "/install seo-keyword-research-tool" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is SEO Keyword Research Tool free?
Yes, SEO Keyword Research Tool is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does SEO Keyword Research Tool support?
SEO Keyword Research Tool is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created SEO Keyword Research Tool?
It is built and maintained by potatosolo (@potatosolo); the current version is v1.0.1.
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