Agent skill

Youtube Research

by sandbaseai in sandbaseai/sandbase-skills

Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase.

Apache-2.0Auto-check passedWriting & Content

Install Youtube Research

skills CLI
$ npx skills add sandbaseai/sandbase-skills --skill youtube-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sandbaseai/sandbase-skills youtube-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/youtube-research .claude/skills/youtube-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
youtube-research
GitHub stars
203
Token cost
~768 tokens
SKILL.md length
308 words
Files
2 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase.

  • Works in 3 steps: Search and discover → Analyze videos → Analyze channels
  • Asked for YouTube research
  • SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Youtube Research is an agent skill from sandbaseai/sandbase-skills. Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase. Use when asked for YouTube research, video discovery, channel analysis, content strategy research, comment sentiment, or video transcript extraction.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sandbase-api-map.md`).

It sits in Writing & Content, covering Content strategy and Video and podcast notes. It works with YouTube. The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.

When your agent uses it

  • Asked for YouTube research
  • Video discovery
  • Channel analysis
  • Content strategy research

Example prompts

  • “/youtube-research”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Search and discover
  2. Analyze videos
  3. Analyze channels

What it can do on your machine

Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Youtube Research loads about 768 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 308 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~768
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 308 words, ~768 tokens.

Download SKILL.mdSave it as .claude/skills/youtube-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
youtube-research
description
Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase. Use when asked for YouTube research, video discovery, channel analysis, content strategy research, comment sentiment, or video transcript extraction.

YouTube Research

Comprehensive YouTube content research through SandBase. Search videos and channels, analyze engagement, extract captions for content analysis, and discover trends. Read the API map before selecting a capability.

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

  • Use YouTube data for content research and competitive intelligence, not for manipulation.
  • Preserve attribution: include video URLs, channel names, view counts, and dates.
  • Separate metrics (views, likes, comments) from qualitative judgments about content quality.
  • Captions are useful for topic extraction but may contain transcription errors.

Workflow

1. Search and discover

Use youtube_web_v2_general_search for keyword/topic video discovery. Use youtube_web_v2_search_channels to find channels in a niche. Use youtube_web_v2_search_suggestions for query expansion and trend signals. Use youtube_web_v2_shorts_search for short-form content discovery.

2. Analyze videos

Use youtube_web_v2_video_info for detailed video metadata and metrics. Use youtube_web_v2_video_comments and youtube_web_v2_video_comment_replies for audience sentiment. Use youtube_web_v2_video_captions to extract transcripts for content analysis. Use youtube_web_v2_related_videos to understand recommendation patterns.

3. Analyze channels

Use youtube_web_v2_channel_videos for a channel's content catalog. Use youtube_web_v2_channel_description for channel positioning. Use youtube_web_v2_channel_shorts for short-form strategy analysis. Use youtube_web_v2_channel_community_posts for community engagement.

Output

Return: search results summary, top videos with metrics, channel analysis, content patterns, audience sentiment from comments, and trend indicators.

Example tasks

  • "Find the most popular videos about [topic] in the last month."
  • "Analyze [channel name]'s content strategy — posting frequency, top performers, topics."
  • "Extract the transcript from this YouTube video: [URL]."
  • "What are people saying in the comments of [video URL]?"
  • "Find YouTube channels covering [niche] with 10K-100K subscribers."

© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in research/youtube-research of sandbaseai/sandbase-skills.

  • SKILL.md
  • references/sandbase-api-map.md

Open the folder on GitHubat commit cbab581

Compare with similar skills

Youtube Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Youtube Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Youtube Research this skillsandbaseai/sandbase-skills203—~768Automated safety check: PassApache-2.0
YoutubeAgriciDaniel/claude-youtube440—~3.1kAutomated safety check: PassMIT
SocialpostHao0321/claude-skill-social-post730—~332Automated safety check: PassMIT
Idea Extractoraiskilloftheweek/claude-ai-skill-of-the-week149—~1.5kAutomated safety check: PassNone
Youtube Transcript Analysis API Skillbrowser-act/skills6.1k1 repos~3.6kAutomated safety check: PassMIT
Youtube Video API Skillbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT

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Works with

Questions about Youtube Research

What does Youtube Research do?

Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase. Youtube Research is an agent skill from sandbaseai/sandbase-skills. Search videos, analyze channels, extract captions, read comments, and discover trends on YouTube through SandBase.

When should I use Youtube Research?

Youtube Research fits situations like: asked for YouTube research; video discovery; channel analysis; content strategy research.

How do I install Youtube Research in Claude Code?

Run `npx skills add sandbaseai/sandbase-skills --skill youtube-research -a claude-code`. Or copy the skill folder (research/youtube-research in sandbaseai/sandbase-skills) into .claude/skills/youtube-research in your project. Claude Code loads it when a task matches its description.

How do I install Youtube Research in Codex?

Run `npx skills add sandbaseai/sandbase-skills --skill youtube-research -a codex`. Or copy the skill folder (research/youtube-research in sandbaseai/sandbase-skills) into .agents/skills/youtube-research in your project. Codex loads it when a task matches its description.

Can I use Youtube Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill youtube-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/youtube-research, .gemini/skills/youtube-research, .github/skills/youtube-research and .opencode/skills/youtube-research in your project.

What does Youtube Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Youtube Research is instructions for the agent only.

Does Youtube Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Youtube Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Youtube Research use?

Youtube Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Youtube Research use?

About 768 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 486 tokens, read only when the agent opens those files.

What are the alternatives to Youtube Research?

Skills that share tags, products or a category with Youtube Research: Youtube (AgriciDaniel/claude-youtube, 440 stars), Socialpost (Hao0321/claude-skill-social-post, 730 stars), Idea Extractor (aiskilloftheweek/claude-ai-skill-of-the-week, 149 stars) and Youtube Transcript Analysis API Skill (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Youtube Research?

sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 203 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 26, 2026.

Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.