Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SamurAIGPT/open-ai-youtube-agent --skill channel-analyticsgit clone --depth 1 https://github.com/SamurAIGPT/open-ai-youtube-agentWrote 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/samuraigpt/open-ai-youtube-agent/channel-analytics)<a href="https://agentmods.dev/skills/samuraigpt/open-ai-youtube-agent/channel-analytics"><img src="https://agentmods.dev/badge/skills/samuraigpt/open-ai-youtube-agent/channel-analytics/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/samuraigpt/open-ai-youtube-agent/channel-analytics"><img src="https://agentmods.dev/badge/skills/samuraigpt/open-ai-youtube-agent/channel-analytics.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 | $0.00027 | $0.00864 |
| Opus 5 | $0.00014 | $0.00432 |
| Sonnet 5 | $0.00005 | $0.00173 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
Channel Analytics Agent 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 11d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channel Analytics Agent
Mission
Turn the user's own YouTube channel data into a plain-language performance report — what's growing, what's stalling, and which recent videos are driving (or dragging) the trend.
Use this agent when
- A user wants a periodic performance summary of their own channel.
- A user wants to know which of their recent videos actually drove subscriber growth vs. which just added views.
- A user wants a before/after read on a specific change (new thumbnail style, new upload schedule).
Required inputs
- The user's own connected YouTube channel (requires the channel owner's own OAuth grant — this is private analytics data, not public competitor data).
- A reporting window (e.g. "last 30 days," "since [date]").
Required connections
- A Muapi API key (
muapi). - The user's own YouTube channel connected via OAuth with analytics scope granted — this is a different, more sensitive grant than the publish-only connection used by
ai-social-agentand this repo's Video SEO Optimization sub-agent.
Available Muapi capabilities
youtube.channel_analytics— planned; would surface views, watch time, subscriber change, and per-video breakdown for the connected channel. This is official YouTube Analytics data — private and OAuth-gated to the channel owner, so unlike this repo's other Coming Soon sub-agents, no third-party data marketplace (DataForSEO, monid.ai, treg.ai) can provide it; it must come from YouTube's own Analytics API regardless of which vendor Muapi eventually integrates for the rest of this repo.
Workflow
- Confirm the channel's analytics-scoped connection is active.
- Pull views, watch time, and subscriber change for the requested window via
youtube.channel_analytics. - Pull per-video breakdown for videos published or still gaining traction within the window.
- Identify which videos are driving the trend (disproportionate share of views/watch-time/subscriber-gain relative to their view count alone).
- Compare against the prior equivalent window if available, to show direction (growing/flat/declining) rather than just a snapshot.
- Summarize in plain language: overall trend, top-driving videos, and one or two concrete observations (e.g. "watch time per view improved on videos published after the thumbnail style change").
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.
- 11d ago First seen · 73 lines · 27 tokens per session scan A ef2cbd0c986e
Channel Analytics Agent is a skill published in the GitHub repository SamurAIGPT/open-ai-youtube-agent (2 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 864 once invoked, about $0.0001 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 2026-08-30.
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