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 MrJPTech/macro-pickle --skill ugc-shortform-promptinggit clone --depth 1 https://github.com/MrJPTech/macro-pickleWrote 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/mrjptech/macro-pickle/ugc-shortform-prompting)<a href="https://agentmods.dev/skills/mrjptech/macro-pickle/ugc-shortform-prompting"><img src="https://agentmods.dev/badge/skills/mrjptech/macro-pickle/ugc-shortform-prompting/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/mrjptech/macro-pickle/ugc-shortform-prompting"><img src="https://agentmods.dev/badge/skills/mrjptech/macro-pickle/ugc-shortform-prompting.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 | $0.00168 | $0.01615 |
| Opus 5 | $0.00084 | $0.00807 |
| Sonnet 5 | $0.00034 | $0.00323 |
| Haiku 4.5 | $0.00017 | $0.00161 |
Grade A, and why
ugc-shortform-prompting 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 11d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UGC Short-Form Selling Prompts
The content-marketing / selling control layer for macro-pickle. It decides the
content form — hook, beat structure, captions, CTA, platform fit — that sells a
product in a vertical short. It does not re-teach cinematography: camera, motion,
lighting, and identity belong to the openmontage-video-prompting skill and to
buildVideoPrompt. This layer chooses what kind of video and how it sells.
Read this BEFORE building a product/UGC selling prompt. Build with the Prompt Engine (
scripts/lib/prompts/ugc.ts+ thebuild_ugc_spotMCP tool) — never hand-roll the brief. Methodology:content/knowledge/PROMPT-COOKBOOK.md§14.
The one rule that matters most
Faceless. Product is the hero. Sell in the first 3 seconds. Product + hands + on-screen captions + music/VO, no face in frame. Faceless is the documented house format and it removes identity-lock, face-seed Veo routing, and IP/likeness cost. Frame it as organic finds-format seeding, not a paid interruption ad.
The selling formats
| Format | Use it for |
|---|---|
faceless-finds (default) |
"things you didn't know you needed" reveal — the scroll-stopper |
unboxing |
tactile first-touch desire |
problem-solution |
show the pain, then the product erasing it |
demo |
straight value — how it works in 8s |
before-after |
transformation proof (strongest for utility goods) |
listicle |
"#1 pick of the season" ranked callout |
tutorial |
teach a use-case, sell by demonstrating mastery |
Pick one per spot — it seeds the hook line, the demo beat, the caption cards, and pacing.
The 8-second beat skeleton
0.0-3.0s HOOK — the reveal / the pain / the curiosity gap (the 3-second rule)
3.0-6.0s DEMO — one clean in-use moment, hands only, the product proving itself
6.0-8.0s CTA — final beauty shot + a hand to the link/shop sticker
One clip = one beat-set. The posted edit stitches 1–3 clips to the platform sweet spot.
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.
- 11d ago First seen · 115 lines · 168 tokens per session scan A 8ceb715b329f
ugc-shortform-prompting is a skill published in the GitHub repository MrJPTech/macro-pickle (2 stars, last pushed 1mo ago), licensed MIT. It adds 168 tokens to every session and 1,615 once invoked, about $0.0008 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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