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 4k-vfxgit 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/4k-vfx)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/4k-vfx"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/4k-vfx/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/4k-vfx"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/4k-vfx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 116 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00105 | $0.03880 |
| Opus 5 | $0.00053 | $0.01940 |
| Sonnet 5 | $0.00021 | $0.00776 |
| Haiku 4.5 | $0.00011 | $0.00388 |
Grade A, and why
4k-vfx 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- vfx — 88% identical, 61 lines differ
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
4k-vfx
Maps a video-to-video VFX move onto the Pika MCP's Seedance 4K reference-to-video. The user hands you a clip + the change they want; you read EVERY frame (locally extracted with ffmpeg and tiled into contact sheets) and understand the audio (speech + music + SFX + ambience), author a Seedance-faithful prompt that locks the original (face, gestures, camera move) and time-codes the change to the right beat, then re-render the same shot in 4K with the VFX baked in. One run produces one 4K clip for one requested change.
How it works — why reading EVERY frame (and the audio) is the mechanism (do not skip the reading pass)
Seedance treats the reference video as a motion/style anchor, NOT a pixel-locked base — it does not copy the input frame-for-frame, it re-generates the shot guided by your prompt. So fidelity comes from the PROMPT: the more exhaustively the prompt describes the original (subject identity, exact gestures, camera move, framing, lighting, palette, wardrobe) and the audio (dialogue + lip-sync, music/SFX beats), the more the 4K output reads as the same shot with the change layered on. Reading EVERY frame — not a sample — is how you build that exhaustive description: you locally extract all frames with ffmpeg, tile them 25-to-a-contact-sheet (5×5), and analyze every sheet so the prompt is built from the entire timeline rather than a handful of stills. Skip the read (or read only a sample) and the output drifts — a different face, a different camera move, a different room, a missed motion beat. The reading pass — all frames + the audio — IS the skill.
Prerequisites
pika MCP available, and local ffmpeg in the run environment (used to extract every frame and build the contact sheets). Two inputs from the user: (1) a video clip (a local file or a public URL) and (2) the VFX change they want made to it. Tools used: upload_asset, probe_media, analyze_media, transcribe_audio, estimate_cost, generate_reference_video, task_status (frame extraction + tiling is done locally with ffmpeg, not an MCP tool).
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 · 148 lines · 105 tokens per session scan A 5cf3f7d17c34
4k-vfx is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 105 tokens to every session and 3,880 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 2026-08-30.
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