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 iart-ai/tiktok-video-skills --skill short-form-videogit clone --depth 1 https://github.com/iart-ai/tiktok-video-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/iart-ai/tiktok-video-skills/short-form-video)<a href="https://agentmods.dev/skills/iart-ai/tiktok-video-skills/short-form-video"><img src="https://agentmods.dev/badge/skills/iart-ai/tiktok-video-skills/short-form-video/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/iart-ai/tiktok-video-skills/short-form-video"><img src="https://agentmods.dev/badge/skills/iart-ai/tiktok-video-skills/short-form-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00108 | $0.02819 |
| Opus 5 | $0.00054 | $0.01409 |
| Sonnet 5 | $0.00022 | $0.00564 |
| Haiku 4.5 | $0.00011 | $0.00282 |
Grade A, and why
short-form-video 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- short-form-video — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Short-Form Video
Engineer a 9:16 video that survives the swipe. Short-form is not a small launch film — it is a retention machine: a hook that earns the first second, pattern interrupts that reset attention every few seconds, and often a loop that buys watch-time past 100%. The craft is timing, not polish.
When to use
- Reels / TikTok / YouTube Shorts (7–60s, vertical 9:16).
- Retention editing: fixing drop-off, adding pattern interrupts, tightening pacing.
- Hooks, seamless loops, repeatable short-form templates (one design, many topics).
Story structure (the retention contract)
Short-form storytelling is a contract with the viewer's thumb: every second must re-earn the next one. The narrative is shaped backwards from the retention curve, not forwards from an intro. Lock these before touching the timeline.
- One idea per video. A short carries exactly one payoff. A second idea splits attention and the curve sags in the middle — make it a second video instead. If you can't name the single takeaway in a sentence, you don't have a short yet.
- Open a loop in the first ~3s, close it last. The hook poses a question or gap (the open loop); the payoff answers it. The viewer stays because the loop is open — so never answer it early, and never bury the payoff under setup.
- No dead air. Every beat either advances the idea or resets attention. Cut anything that does neither. Silence, slow ramps, throat-clearing intros ("hey guys, in this video…") are where viewers swipe.
- Why the curve, not the cut, is the unit of work. The algorithm distributes whatever holds the per-second retention curve flat; a "good" edit that flattens the curve loses to an ugly one that keeps it up. You are editing the curve, and the hook gates everything after it — fix it first.
The narrative spine (the Hook → Setup → Body → Payoff/loop arc is budgeted in the table below):
| Move | Story job | Failure if missed |
|---|---|---|
| Hook | Open the loop; promise the payoff | Swipe in first 3s |
| Tension hold | Keep the gap open through the body | Flat middle, mid-drop |
| Payoff | Close the loop — the one idea, delivered | "Wasted my time," no share |
| Loop / CTA | Feed back to frame 0, or one clear ask | No re-watch, no action |
What ships with it
2 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.
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 · 156 lines · 108 tokens per session scan A 27a55d05cded
short-form-video is a skill published in the GitHub repository iart-ai/tiktok-video-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 2,819 once invoked, about $0.0005 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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