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 agentmods add skills/ai-answer/contentrepurposesystem/content-cascadenpx skills add AI-Answer/ContentRepurposeSystem --skill content-cascadegit clone --depth 1 https://github.com/AI-Answer/ContentRepurposeSystemWhat 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 | $0.00100 | $0.03787 |
| Opus 5 | $0.00050 | $0.01894 |
| Sonnet 5 | $0.00020 | $0.00757 |
| Haiku 4.5 | $0.00010 | $0.00379 |
Grade A, and why
content-cascade scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "YOUR_SUPABASE_URL/rest/v1/posts?youtube_video_id=eq.VIDEO_ID_HERE&select=id" \ How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Cascade
Turn a YouTube video into a full content cascade: blog post + Twitter thread + LinkedIn post. Fetches the transcript, generates all three pieces following your voice guidelines, and optionally saves everything as drafts to Supabase.
Setup Required
Run /onboard first. It configures everything below in one pass (channel, Voice DNA, optional keys). If onboarding hasn't been run yet and no channel is configured, suggest running /onboard before proceeding. The items below are what onboarding sets up — only do them manually if the user is configuring by hand:
- Voice prompts — Your blog/social voice guidelines live in
${CLAUDE_PLUGIN_ROOT}/skills/content-cascade/prompts/./onboardwrites a Voice DNA block into each; otherwise edit the template files directly. - YouTube channel —
YOUR_CHANNEL_IDbelow is replaced with your real channel ID by/onboard. - Supabase (optional) — If you want auto-saving to a database, set up your Supabase project and update the config section at the bottom.
- Apify (optional) — For reliable transcript fetching, get a free API token at https://apify.com and set
APIFY_API_TOKENenv var. - Twitter/X (optional) — For auto-posting threads, set Twitter API credentials in
${CLAUDE_PLUGIN_ROOT}/skills/content-cascade/.env.
When This Skill Activates
Activate when the user wants to:
- Generate blog/social content from a YouTube video
- Create a content cascade from a video they just published
- Write a blog post, Twitter thread, or LinkedIn post from a video transcript
- Run the content pipeline for a new video
Example triggers:
- "Run the content cascade on my latest video"
- "Content cascade for my latest video"
- "Generate content for https://youtube.com/watch?v=XYZ"
- "Create blog + twitter + linkedin for [URL]"
/content-cascade/content-cascade [URL]
Pipeline Steps
Step 1 — Get the Video
If the user provided a YouTube URL, use it.
If the user said "latest video" or didn't provide a URL, auto-detect the most recent upload:
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- prompts/blog-system-prompt.md 3.2 KB
- prompts/guide-system-prompt.md 1.1 KB
- prompts/linkedin-lead-magnet-system-prompt.md 893 B
- prompts/linkedin-system-prompt.md 878 B
- prompts/twitter-system-prompt.md 964 B
- scripts/fetch-transcript-apify.js 3.0 KB runs code
- scripts/fetch-transcript.js 1.6 KB runs code
- scripts/generate-flyer-hook.js 8.5 KB runs code
- scripts/generate-flyer.js 5.3 KB runs code
- scripts/post-thread.js 3.4 KB runs code
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.
- 3d ago First seen · 316 lines · 100 tokens per session scan A ec5b49d68f6e
content-cascade is a skill published in the GitHub repository AI-Answer/ContentRepurposeSystem (12 stars, last pushed 2mo ago), licensed MIT. It adds 100 tokens to every session and 3,787 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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