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 Pika-Labs/Pika-Plugins --skill app-sizzlegit clone --depth 1 https://github.com/Pika-Labs/Pika-PluginsWrote 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/pika-labs/pika-plugins/app-sizzle)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/app-sizzle"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/app-sizzle/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/pika-labs/pika-plugins/app-sizzle"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/app-sizzle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector 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 | $0.00225 | $0.09680 |
| Opus 5 | $0.00112 | $0.04840 |
| Sonnet 5 | $0.00045 | $0.01936 |
| Haiku 4.5 | $0.00022 | $0.00968 |
Grade A, and why
app-sizzle 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 9d 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 — 646 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Sizzle — GPT-Image-2 Enhanced iOS App Teaser
Generate a polished 15-second app teaser from real app screens. Each selected screen is passed through GPT-image-2 before Seedance so compressed captures become cleaner references without inventing UI.
Cost transparency gate
Before any paid MCP call, call identity_balance({verbose: true}) once. Surface the current balance, recent burn rate, and remaining runway, then gate the run with this exact message:
Estimated cost: about 3,000-4,000 credits (~$30-$40) for a typical run with screenshot enhancement plus Seedance video. This exceeds $5, so Reply
proceedto continue orcancelto stop.
Do not call any paid MCP tool until the user replies proceed. If the user replies cancel, stop without generating. For non-interactive --quick or --config callers, require cost_ack=proceed in the config; if it is absent, stop with the estimate instead of spending credits.
Generation contract: use resolution="1080p", duration=15, and sound=True. Skip fast=true because it caps Seedance at 720p. The skill owns duration and sound so the user only has to supply app identity, screens, logo, and aspect ratio.
The visual aesthetic is derived from the app's personality — not defaulted to liquid glass. The agent reads the app's soul from its icon, screenshots, and category, then chooses a treatment. The user provides the app identity and assets; the agent decides everything else (mode, prompt, camera, style).
Pre-generation wall-clock guard
Start a timer at skill start once the required app identity and screen/logo source are available and the cost gate has passed. Time spent waiting for the user's proceed reply, or for non-interactive cost_ack=proceed, is not prep time and must not trigger this guard. If required inputs or real assets are missing, stop at Stage 0 or Stage 0.5 and ask for them; do not bypass the asset gate. For runs with required inputs in hand, the first paid generation call is the GPT-image-2 generate_image_edit enhancement pass, and it must be invoked within 5 minutes of skill start. If you have not invoked the first generate_image_edit enhancement within 5 minutes of skill start, stop before any paid generation call and report failed_pre_generation_timeout with what you have so far: fetched assets, selected screens, feature map, arc, enhancement-prompt status, Seedance prompt draft if any, and the exact blocker. Do not keep refining analysis, enhancement wording, prompt wording, or camera language.
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.
- 9d ago First seen · 646 lines · 225 tokens per session scan A c6971ee13721
app-sizzle is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 225 tokens to every session and 9,680 once invoked, about $0.0011 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 2026-08-30.
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