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 ugc-adsgit 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/ugc-ads)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/ugc-ads"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/ugc-ads/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/ugc-ads"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/ugc-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- 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 | $0.00194 | $0.09562 |
| Opus 5 | $0.00097 | $0.04781 |
| Sonnet 5 | $0.00039 | $0.01912 |
| Haiku 4.5 | $0.00019 | $0.00956 |
Grade A, and why
ugc-ads 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 10d 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 — 443 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pika:ugc-ads
Parameters
| Param | Default | Notes |
|---|---|---|
url |
required | product URL — drives category detection and beat substitution |
avatar_url |
built-in fallback | persona portrait URL; fed as @Image1 reference. When omitted, the skill uses a pre-generated Pixar-style female creator portrait |
provider |
seedance |
seedance: strong at UGC selfie / talking-head POV with native lip-sync, multi-segment in single prompt, supports 3:4. kling: explicit shots[], 9:16/16:9 only |
aspect_ratio |
9:16 |
3:4 is seedance-only (kling rejects 3:4) |
variants |
unset | Optional comma list for shared-generation exports. Supported: 9:16, 16:9, 1:1. Keeps the expensive UGC render shared, then reframes the final stage. |
category |
auto | HAUL / APP / FOOD / BEAUTY / FITNESS / TECH; auto-picked from URL |
captions |
true |
TikTok-style word-chunked captions burned on top of the final video |
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 4,000 credits (~$40) for a typical Seedance UGC ad with fallback/retry budget. 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. The gate runs after the product URL is known and before avatar analysis, screenshot capture, video generation, captions, or paid retries.
Runtime expectations
Typical end-to-end run: 6–12 minutes. Breakdown:
- Step 1 (WebFetch) + Step 3 (capture_website screenshot): ~10–30s
- Step 7 (
generate_reference_video): ~3–5 min for seedance, ~5–7 min for kling - Step 7b/c (cartoonize + retry): adds ~1–2 min if seedance moderation rejects the avatar
- Step 8 (deterministic brand/spec overlays): 1-2
edit_text_overlaycalls, ~30s–5 min total - Step 9 (captions): single
add_captionscall, ~30s–5 min (transcribe + burn in one shot)
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.
- 10d ago First seen · 443 lines · 194 tokens per session scan A 1d4526476ae5
ugc-ads is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 194 tokens to every session and 9,562 once invoked, about $0.0010 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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