youtube-research-pack

youtube-research-pack is a skill for Claude Code, Codex from AlekseiUL/hermes-researcher-agent. It costs 44 tokens per session (1,588 once invoked), scanned A, original, MIT.

A public-only research toolkit for searching YouTube, checking videos and channels, finding playlists, collecting subtitles, and examining public signals. It avoids cookies, logins, private analytics, and account actions.

In plain words
What is it for?
Use it to find public videos, verify current metadata and subtitle availability, scan channels or playlists, and analyse publicly visible YouTube information.
Why use it?
It provides a bounded way to gather evidence from YouTube without treating unavailable or changing data as fact. It also distinguishes public observations from creator-only metrics such as retention or revenue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 tools/youtube_research.py search "<public query>" --limit 5 --json.

Good fit Use it to find public videos, verify current metadata and subtitle availability, scan channels or playlists, and analyse publicly visible YouTube information.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/AlekseiUL/hermes-researcher-agent
agentmods
npx agentmods add skills/alekseiul/hermes-researcher-agent/youtube-research-pack

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for youtube-research-pack

README.md
[![agentmods](https://agentmods.dev/badge/skills/alekseiul/hermes-researcher-agent/youtube-research-pack/github.svg)](https://agentmods.dev/skills/alekseiul/hermes-researcher-agent/youtube-research-pack)
Your own site
<a href="https://agentmods.dev/skills/alekseiul/hermes-researcher-agent/youtube-research-pack"><img src="https://agentmods.dev/badge/skills/alekseiul/hermes-researcher-agent/youtube-research-pack/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for youtube-research-pack

Your own site · 80×15
<a href="https://agentmods.dev/skills/alekseiul/hermes-researcher-agent/youtube-research-pack"><img src="https://agentmods.dev/badge/skills/alekseiul/hermes-researcher-agent/youtube-research-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,588 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.01588
Opus 5 $0.00022 $0.00794
Sonnet 5 $0.00009 $0.00318
Haiku 4.5 $0.00004 $0.00159

Measured 7d ago against content hash 25598b252aa6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

youtube-research-pack scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/youtube-research-pack/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

YouTube Research Pack

Purpose

Research public YouTube evidence without turning access failures into invented facts. Use the lightweight repository helper for quick work and the optional youtube-intelligence-stack companion for persistent multi-layer runs.

This pack is public-only by default. It never requires cookies, login, OAuth, API keys, browser-profile extraction, private analytics, or account actions.

Choose the smallest lane

Quick search

Use for finding a bounded set of public videos:

python3 tools/youtube_research.py search "<public query>" --limit 5 --json

The helper rejects queries containing email addresses, local paths, phone-like values, and common credential shapes before network access.

Video verification

Use for current public metadata and subtitle availability:

python3 tools/youtube_research.py video "<public video URL or ID>" --json

Treat views, likes, and comments as volatile observations. Record the collection date. Creator-side CTR, retention, traffic source, subscriber conversion, and revenue are unavailable unless the creator supplies them separately.

Channel or playlist scan

python3 tools/youtube_research.py channel "https://www.youtube.com/@handle" --tab videos --limit 10 --json
python3 tools/youtube_research.py channel "https://www.youtube.com/@handle" --tab shorts --limit 10 --json
python3 tools/youtube_research.py playlist "<public playlist URL>" --limit 10 --json

The channel URL is normalized to an explicit videos, shorts, or live tab. Flat listings are discovery evidence only; inspect shortlisted videos separately for current metrics.

Transcript

python3 tools/youtube_research.py transcript "<public video URL or ID>" --languages "en.*,en,ru.*,ru" --json

The helper writes subtitle files only inside a temporary directory, converts one public VTT track to bounded text, and removes the temporary directory. Automatic captions may be wrong. Transcript absence means no_subtitles, not that the video lacks relevant content.

Read the full file on GitHub · 169 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 169 lines · 44 tokens per session scan A 25598b252aa6

Subscribe to this mod's changes

youtube-research-pack is a skill published in the GitHub repository AlekseiUL/hermes-researcher-agent (57 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 1,588 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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