Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/nikhilbhansali/youtube-data-skills/youtube-channel-breakdown)<a href="https://agentmods.dev/skills/nikhilbhansali/youtube-data-skills/youtube-channel-breakdown"><img src="https://agentmods.dev/badge/skills/nikhilbhansali/youtube-data-skills/youtube-channel-breakdown/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.
<a href="https://agentmods.dev/skills/nikhilbhansali/youtube-data-skills/youtube-channel-breakdown"><img src="https://agentmods.dev/badge/skills/nikhilbhansali/youtube-data-skills/youtube-channel-breakdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.03438 |
| Opus 5 | $0.00042 | $0.01719 |
| Sonnet 5 | $0.00017 | $0.00688 |
| Haiku 4.5 | $0.00008 | $0.00344 |
Grade A, and why
youtube-channel-breakdown 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Channel Breakdown Analysis
Comprehensive YouTube channel analysis pipeline for the Channel Breakdown Live Stream show. Runs the data collection pipeline, reads all collected data, and writes a single expert analysis document.
Usage
/youtube-channel-breakdown @channelhandle
Examples:
/youtube-channel-breakdown @hubspotmarketing/youtube-channel-breakdown @aliabdaal/youtube-channel-breakdown @mkbhd
What This Skill Does
- Data Collection - Runs the Python pipeline to fetch ALL videos from the channel
- Expert Analysis - Reads all collected data and writes
channel_analysis.md
The single deliverable is channel_analysis.md — a 4,000-5,000 word expert analysis written from the perspective of a YouTube strategist.
External Dependency
Unlike the other YouTube skills, this one does not bundle its own collection script.
It drives the external Channel_Breakdown_Live_Stream pipeline
(channel_research_pipeline.py), which lives outside this repo.
The pipeline directory is read from the CHANNEL_BREAKDOWN_PIPELINE_DIR environment
variable, falling back to:
/Users/nikhilbhansali/Library/CloudStorage/Dropbox/Claude Projects/Onewrk Digital Marketing and content research/07_Documentation/Channel_Breakdown_Live_Stream/scripts
Instructions
When the user invokes this skill with a channel handle:
Step 1: Locate the Pipeline
PIPELINE_DIR="${CHANNEL_BREAKDOWN_PIPELINE_DIR:-/Users/nikhilbhansali/Library/CloudStorage/Dropbox/Claude Projects/Onewrk Digital Marketing and content research/07_Documentation/Channel_Breakdown_Live_Stream/scripts}"
test -f "$PIPELINE_DIR/channel_research_pipeline.py" && echo "FOUND: $PIPELINE_DIR" || echo "MISSING"
If the pipeline is missing, stop and tell the user:
This skill depends on the external Channel_Breakdown_Live_Stream pipeline (
channel_research_pipeline.py), which I can't find at<the path that was checked>. Where is that pipeline located? Once you tell me, I'll use it — or you can setCHANNEL_BREAKDOWN_PIPELINE_DIRto its directory so this skill finds it automatically next time.If you don't have that pipeline, use
youtube-own-channel-analyzer(channel health),youtube-competitor-analyzer(competitive position), andyoutube-comment-miner(audience analysis) instead — together they cover most of what this report needs.
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.
- 12d ago First seen · 391 lines · 84 tokens per session scan A 02f26efce0ec
youtube-channel-breakdown is a skill published in the GitHub repository nikhilbhansali/youtube-data-skills (2 stars, last pushed 25d ago), licensed MIT. It adds 84 tokens to every session and 3,438 once invoked, about $0.0004 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 2026-08-31.
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