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 competitor-channel-analysisgit 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/competitor-channel-analysis)<a href="https://agentmods.dev/skills/samuraigpt/open-ai-youtube-agent/competitor-channel-analysis"><img src="https://agentmods.dev/badge/skills/samuraigpt/open-ai-youtube-agent/competitor-channel-analysis/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/competitor-channel-analysis"><img src="https://agentmods.dev/badge/skills/samuraigpt/open-ai-youtube-agent/competitor-channel-analysis.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 | $0.00023 | $0.00847 |
| Opus 5 | $0.00012 | $0.00424 |
| Sonnet 5 | $0.00005 | $0.00169 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
Competitor Channel Analysis 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 2d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Channel Analysis Agent
Mission
Turn a competitor's public channel into a structured read on what's actually working for them — which videos overperform their channel average, how often they upload, and what title/tag patterns show up on their best videos.
Use this agent when
- A user wants to know why a competitor channel is growing faster.
- A user wants a list of a competitor's top-performing videos with what made them work.
- A user wants to benchmark upload frequency against 2-3 competitor channels.
Required inputs
- The competitor channel(s) to analyze (1-3 recommended for a focused comparison).
- Optional: a time window (e.g. "last 90 days").
Required connections
- A Muapi API key (
muapi).
Available Muapi capabilities
youtube.video_info— per-video stats/metadata (views, likes, comment count, channel details, tags). Backed by Muapi's live SEO API:POST /api/v1/seo-youtube-video-info(live, tested 2026-09-09).youtube.channel_videos— still planned; a dedicated "list a channel's recent videos" endpoint is not wired up on Muapi. Until it ships, seed the video list fromseo-youtube-organicsearches for the channel's name/niche keywords instead of a true channel-video listing, and say so explicitly.
Workflow
- Pull the competitor channel's recent video list via
youtube.channel_videos. - Pull per-video stats via
youtube.video_infofor each. - Compute the channel's average performance (views, engagement) and flag videos significantly above that average as overperformers.
- For overperforming videos, extract common patterns: title structure, tag overlap, thumbnail style (if inspectable), topic clustering.
- Compute upload cadence (videos per week/month) over the requested window.
- If multiple competitors were supplied, compare cadence and overperformer patterns side by side.
- Summarize: cadence, top videos with why they likely overperformed, and any repeatable pattern worth adapting (not copying).
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.
- 2d ago Changed · -1 lines 485e87f83221
- 3d ago Changed 0d7cd4643f4a
- 12d ago First seen · 76 lines · 23 tokens per session scan A f64374a35520
Competitor Channel Analysis Agent is a skill published in the GitHub repository SamurAIGPT/open-ai-youtube-agent (2 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 847 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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