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 TheSmokeDev/geo-skills --skill geo-youtubegit clone --depth 1 https://github.com/TheSmokeDev/geo-skillsWrote 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/thesmokedev/geo-skills/geo-youtube)<a href="https://agentmods.dev/skills/thesmokedev/geo-skills/geo-youtube"><img src="https://agentmods.dev/badge/skills/thesmokedev/geo-skills/geo-youtube/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/thesmokedev/geo-skills/geo-youtube"><img src="https://agentmods.dev/badge/skills/thesmokedev/geo-skills/geo-youtube.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00078 | $0.01925 |
| Opus 5 | $0.00039 | $0.00962 |
| Sonnet 5 | $0.00016 | $0.00385 |
| Haiku 4.5 | $0.00008 | $0.00193 |
Grade A, and why
geo-youtube 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Citation Playbook Skill
Purpose
This skill turns a YouTube channel into an AI citation source. AI engines do not watch video -- they read the transcript, chapters, title, and description. That makes YouTube a rank-free bypass lane: a channel with no domain authority and few views can earn AI citations that the site's text pages cannot. This skill audits existing videos for citation readiness and produces a build spec for new ones.
Core Insight
YouTube completed the flip in 2026 and is now the dominant non-text citation source:
- Most-cited domain in Google AIOs overall, with share up +34% over 6 months (Ahrefs Brand Radar, 2026).
- #1 social citation source at 38.1% of social citations, overtaking Reddit (5WPR State of AI Citations, May 2026).
- ~23% of finance-vertical citations -- ahead of Wikipedia (7.3%) and LinkedIn (6.8%) (Surfer 46M-citation dataset, 2026).
- 18.2% of AIO citations from beyond the organic top 100 are YouTube URLs (Ahrefs, 863K SERPs / 4M URLs, Mar 2026) -- the clearest rank-free lane in AI search.
- YouTube mentions correlate r=0.737 with AI visibility -- the strongest single signal ever measured, ahead of branded web mentions (0.664) (Ahrefs 75K-brand study via MachineRelations, Jul 2026).
The mechanism that matters: AI reads the transcript, chapters, title, and description -- NOT the video itself. Views and subscriber counts show near-zero correlation with citation (⚠️ single source, AIOCopilot Apr 2026 -- but mechanism-consistent, since engines have no visibility into watch metrics at retrieval time).
Citation-Readiness Rubric (per video)
Score each video 0-100 across five components:
| Component | Weight | Full Marks | Zero Marks |
|---|---|---|---|
| Transcript quality | 30% | Human-corrected transcript with citable numeric/definitional sentences | Auto-captions left uncorrected, or no captions |
| Chapter structure | 25% | 6-12 chapters with descriptive, query-matching titles | No chapters, or generic titles ("Part 1", "Intro") |
| Title match | 20% | Title is verbatim (or near-verbatim) the target query | Clever/branded title with no query language |
| Length & depth | 15% | 10+ minutes, substantive per-chapter content | Under 3 minutes, or a Short |
| Cross-posting | 10% | Video's claims exist as a text page + community answer | Video exists in isolation |
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 · 127 lines · 78 tokens per session scan A 75596772c23b
geo-youtube is a skill published in the GitHub repository TheSmokeDev/geo-skills (22 stars, last pushed 9d ago), licensed MIT. It adds 78 tokens to every session and 1,925 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 2026-08-30.
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