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 moonlight-lupin/agent-skills --skill clips-studiogit clone --depth 1 https://github.com/moonlight-lupin/agent-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/moonlight-lupin/agent-skills/clips-studio)<a href="https://agentmods.dev/skills/moonlight-lupin/agent-skills/clips-studio"><img src="https://agentmods.dev/badge/skills/moonlight-lupin/agent-skills/clips-studio/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/moonlight-lupin/agent-skills/clips-studio"><img src="https://agentmods.dev/badge/skills/moonlight-lupin/agent-skills/clips-studio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 99 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.
- medium Excessive Agency · line 279 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 | $0.00146 | $0.06018 |
| Opus 5 | $0.00073 | $0.03009 |
| Sonnet 5 | $0.00029 | $0.01204 |
| Haiku 4.5 | $0.00015 | $0.00602 |
Grade A, and why
clips-studio 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clips Studio
Generate a short video clip through deliberate stages — brainstorm → draft cheaply → produce the
final at quality — using fal.ai. The moving-image sibling of image-studio. The point of the
staging is cost and control: video is the dearest thing on fal (roughly 10–100× a still), so you
lock the idea on a cheap model first, then spend on a quality model only once, on the agreed clip.
This skill generates files locally for the user to review and use. It never posts, publishes, or sends anything as final collateral.
Scope and routing
Use this skill only when all of the following are true:
- The task is generative video — a clip from a prompt, animating a still, or a camera move over a still — not slide/deck production, charting, dashboarding, or design-template automation.
- The user is comfortable with fal.ai egress and paid API usage.
- The local helper workflow is available, or the user is asking you to prepare the brief for it.
Do not use this skill for:
- Still images (use
image-studio), Canva-style templates, slide decks, data charts, dashboards, flowcharts or diagrams. - Confidential or sensitive image/document processing.
- Any host environment where a native video-generation tool is explicitly mandated.
Three modes — choose this first
Pick the one that matches what the user has and wants:
- Text-to-video (
generate) — a clip from a prompt, with no source image. Best for concept, abstract/motion-graphic, brand-mood or b-roll-style clips with no still to start from. It invents everything, so it is never the way to depict a real place, product or person —animatea real photo for that. - Animate a still (
animate) — bring an existing image to life: a product turning, people interacting, a scene, foliage/water/light. The clip animates what is in the frame.- Adding a new subject to an EMPTY scene (people to a room, product to a set) is a two-step job.
Video models animate what they see; they don't reliably invent believable new subjects. So
first add the subject to the still with
image-studio(an instruction edit), review it, then animate the populated still here.
- Adding a new subject to an EMPTY scene (people to a room, product to a set) is a two-step job.
Video models animate what they see; they don't reliably invent believable new subjects. So
first add the subject to the still with
- Camera move (
camera) — extrapolate a camera motion over a still: a slow push-in, pan, tilt, shallow orbit or pull-out (a "3D"/parallax feel; an interior "3D view"). The subject can be static; the camera moves. This is the riskiest mode for honesty (it invents unseen geometry) — keep moves gentle and readreferences/motion-honesty-guide.mdfirst.
What ships with it
8 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.
- 10d ago First seen · 386 lines · 146 tokens per session scan A 755cc7c78e9b
clips-studio is a skill published in the GitHub repository moonlight-lupin/agent-skills (60 stars, last pushed 3d ago), licensed MIT. It adds 146 tokens to every session and 6,018 once invoked, about $0.0007 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.
Other skills, from other repositories
image
Create or optimize marketing images, social graphics, product mockups, banners, cover art, listing visuals, brand assets, image prompts, WebP files, and OG images.
video
Plan and produce video with available AI tools or programmatic frameworks. Use for video prompts, avatars, explainers, demos, templates, pipelines, and generation.
notion-infographic
Turn articles, notes, transcripts, or research into a consistent series of clean hand-drawn infographics with concise text and visual verification.
pptx
Create, inspect, extract, edit, render, and verify PowerPoint presentations with python-pptx and optional LibreOffice.
rylai-ppt
Create editable PowerPoint decks from a local JSON specification using Rylai's visual system, python-pptx, deterministic slide types, and optional rendering.
chart-image
Create publication-quality chart images from supplied data using an available plotting library, with explicit scales, labels, and visual QA.