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/maxtechera/ship/multiplicationnpx skills add maxtechera/ship --skill multiplicationgit clone --depth 1 https://github.com/maxtechera/shipWhat 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 | $0.00030 | $0.00659 |
| Opus 5 | $0.00015 | $0.00329 |
| Sonnet 5 | $0.00006 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
content-multiplication 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 yesterday.
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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Multiplication
Turn 1 piece of content into 15+ assets.
ONE IDEA → MULTIPLE FORMATS → ALL CHANNELS
Standard Multiplication Matrix
From 1 long-form video or pillar post:
| Asset Type | Count | Platform |
|---|---|---|
| Long-form video | 1 | YouTube |
| Shorts / clips | 3-5 | YouTube Shorts |
| Reels | 3-5 | |
| Carousel | 1-2 | |
| Stories | 5-10 | |
| TikToks | 2-3 | TikTok |
| Thread | 1 | Twitter/X |
| LinkedIn post | 1 | |
| Blog post | 1-2 | Website |
| Newsletter block | 1 | |
| Lead magnet section | 1 | Download |
Total: 15-25 assets from 1 source
Multiplication Plan Format
{
"source": "YouTube: [Title]",
"multiplication": {
"shorts": ["Hook clip", "Key insight", "Tutorial clip", "Result reveal"],
"reels": ["Full story (60s)", "Results only (30s)", "Tutorial (45s)"],
"carousel": "5-slide breakdown of key framework",
"thread": "10-tweet thread with evidence",
"linkedin": "Professional angle with ROI metrics",
"blog": "Expanded case study with step-by-step",
"newsletter": "Behind-the-scenes personal angle"
}
}
Clip Selection Rules (for Shorts/Reels)
Good clip candidates:
- Strong hook moment (first 3 seconds of the long-form)
- Surprising claim or counterintuitive insight
- Clear before/after demonstration
- Step-by-step tutorial that stands alone
- Emotional high point or relatable confession
Bad clip candidates:
- Mid-thought transitions between topics
- Context-dependent sections that need the full video
- Sections with references to "earlier in the video"
Platform Adaptation Requirements
| Platform | Required adaptation |
|---|---|
| YouTube Shorts | ≤60s, vertical 9:16, hook in first 2s |
| Instagram Reels | ≤90s, vertical, caption ≤150 words |
| TikTok | ≤60s for best reach, text overlays |
| Twitter Thread | 6-10 tweets, first tweet = standalone hook |
| 150-300 words, professional framing, metrics | |
| Newsletter | Personal angle, conversational, one CTA |
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.
- yesterday First seen · 86 lines · 30 tokens per session scan A 948cf775205f
content-multiplication is a skill published in the GitHub repository maxtechera/ship (2 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 659 once invoked, about $0.0002 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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