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 deeployCO/youtube-seo-skills --skill youtube-seo-auditgit clone --depth 1 https://github.com/deeployCO/youtube-seo-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/deeployco/youtube-seo-skills/youtube-seo-audit)<a href="https://agentmods.dev/skills/deeployco/youtube-seo-skills/youtube-seo-audit"><img src="https://agentmods.dev/badge/skills/deeployco/youtube-seo-skills/youtube-seo-audit/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/deeployco/youtube-seo-skills/youtube-seo-audit"><img src="https://agentmods.dev/badge/skills/deeployco/youtube-seo-skills/youtube-seo-audit.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 | $0.02114 |
| Opus 5 | $0.00042 | $0.01057 |
| Sonnet 5 | $0.00017 | $0.00423 |
| Haiku 4.5 | $0.00008 | $0.00211 |
Grade A, and why
youtube-seo-audit 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full YouTube Channel Audit (Advanced)
Process
- Resolve channel: accept
@handle,/channel/UC...,/c/name, or a video URL. Normalize to channel ID via API or WebFetch. - Ask for Studio exports before starting any retention or CTR analysis:
- Analytics → Advanced Mode → Last 28/90 days CSV for:
- Content (video-level stats)
- Traffic source
- Audience → geography + top subtitles
- Key moments (retention curves for top 10 videos) Without these, score only metadata and structure; label retention metrics as "unknown".
- Analytics → Advanced Mode → Last 28/90 days CSV for:
- Fetch channel surface:
/about,/videos,/shorts,/playlists,/community,/featured. Extract:- Channel name, handle, description, country, links, join date
- Banner and profile image presence
- Total videos, views, subs (if public)
- Topic categories (from API
channels.list?part=topicDetails) - Upload cadence from last 25 long-form + last 25 Shorts
- Sample videos: pull the last 25 uploads and the top 25 all-time by views. For each: title, description, visible tags, view count, like count, comment count, duration, upload date, thumbnail URL, chapters.
- Delegate (parallel via Agent tool when available):
youtube-seo-channel— identity, about, playlists, trailer, session chainsyoutube-seo-video— run on top 3 + bottom 3 performers (contrast analysis)youtube-seo-thumbnail— review last 12 thumbnails as a grid + SERP differentiationyoutube-seo-keywords— topical authority score + gap analysisyoutube-seo-competitor— detect 3-5 direct competitors + pattern extraction
- Compute topical authority: cluster the channel's videos by topic and measure concentration (entropy). High concentration = high authority on that cluster. Diffuse = weak algorithmic classification.
- Compute velocity consistency: stddev of days-between-uploads. Low stddev + regular cadence = Browse feed promotion friendly.
- Compute session chain strength: % of videos that appear in at least one playlist; % of playlists with ≥5 videos; avg playlist view count.
- Score: aggregate into YouTube Health Score (0-100)
- Report: write
YT-AUDIT-REPORT.md+YT-ACTION-PLAN.mdto the current directory.
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 · 198 lines · 84 tokens per session scan A 361836535c6f
youtube-seo-audit is a skill published in the GitHub repository deeployCO/youtube-seo-skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 84 tokens to every session and 2,114 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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