SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.
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 OpenSenseNova/SenseNova-Skills --skill sn-motion-htmlgit clone --depth 1 https://github.com/OpenSenseNova/SenseNova-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/opensensenova/sensenova-skills/sn-motion-html)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-motion-html"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-motion-html/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/opensensenova/sensenova-skills/sn-motion-html"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-motion-html.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00084 | $0.01760 |
| Opus 5.5 | $0.00034 | $0.00704 |
| Sonnet 5.5 | $0.00017 | $0.00352 |
| Haiku 4.5 | $0.00008 | $0.00176 |
Grade A, and why
sn-motion-html 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 yesterday.
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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SN Motion HTML
Create a reusable project, not a one-off HTML file. Keep subject matter, chapter count, visual style, interface treatment, copy placement, language, image model, video model, clip duration, and hosting path configurable.
The defining experience is one continuous camera journey controlled by page progress. Preserve a single fixed media stage and one ordered timeline from the first scene through every connector to the final scene. Differentiate projects through transparent copy composition, header treatment, type, navigation, and scene-specific copy placement—not by replacing the continuous stage with separate article media blocks.
Route the work
- Resolve the story goal, audience, factual fidelity, chapter scale, visual language, copy language, target devices, sound policy, and available API credentials. Make reasonable defaults only for low-risk implementation details.
- For factual or source-based stories, research before outlining and record sources separately from display copy.
- Plan chapters, recurring identities and connector paths before generating their boundary images; use references/prompting.md for shot planning and acceptance criteria.
- Detect the image-generation capability available in the current environment before generating any stills. The capability may be a callable image tool, a skill that exposes or instructs an image workflow, or both. Use the available capability when present; if no suitable capability is available, report that blocker to the user before continuing past the still-generation stage.
- Prepare a review package containing the proposed visual style and the content/shot arrangement. When an image capability is available, generate only the small reference/gate set needed for review.
- Obtain the user's explicit approval at both approval gates below. After approval, generate the complete still set and inspect it before any paid video batch.
- Dry-run the video manifest and representative clip. Obtain explicit authorization immediately before the first paid video API request, then generate scene clips and connector clips in dependency-aware parallel phases.
- Choose or design an interface treatment around the continuous stage, assemble from structured content, then verify media and browser behavior.
What ships with it
30 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.
- agents/openai.yaml 269 B
- assets/style-presets/anime.json 1.0 KB
- assets/style-presets/cgi.json 1000 B
- assets/style-presets/cinematic.json 1021 B
- assets/template/.env.example 179 B
- assets/template/.gitignore 102 B
- assets/template/content/story.json 1.8 KB
- assets/template/index.html 832 B
- assets/template/prompts/style-motion.txt 237 B
- assets/template/prompts/style-preamble.txt 182 B
- assets/template/prompts/video-manifest.json 993 B
- assets/template/prompts/video/connectors/01-opening-to-destination.txt 482 B
- assets/template/prompts/video/dives/01-opening.txt 337 B
- assets/template/prompts/video/dives/02-destination.txt 337 B
- assets/template/src/app.js 2.4 KB runs code
- assets/template/src/motion-runtime.js 18 KB runs code
- assets/template/styles.css 12 KB
- references/frontend.md 6.4 KB
- references/prompting.md 6.2 KB
- references/schemas.md 2.8 KB
- references/seedance.md 3.8 KB
- references/style-presets.md 3.6 KB
- references/workflow.md 6.5 KB
- scripts/contact_sheet.py 2.7 KB runs code
- scripts/init_project.py 3.2 KB runs code
- scripts/make_posters.py 1.2 KB runs code
- scripts/seedance_pipeline.py 12 KB runs code
- scripts/serve_project.py 1.5 KB runs code
- scripts/verify_media.py 2.2 KB runs code
- tests/motion-runtime.test.cjs 9.3 KB runs code
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.
- yesterday Changed · +3 lines 41618e0ce7ed
- 1mo ago First seen · 90 lines · 84 tokens per session scan A cbd7512e6f78
sn-motion-html is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,943 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 1,760 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-08.
Other skills, from other repositories
proto-bot-getting-started
A first-conversation guide for starting an interface-prototyping task. It gathers the application, design rules, allowed changes, and preferred delivery format only as needed before producing an initial result.
proto-bot-ops
A workflow for turning an existing application into interface prototypes, implementing approved page changes, and collecting review evidence. It checks the real code, pages, components, data, and visual states instead of treating a design file as an integrated product.
tlamatini-static-version-bumper
Bump STATICVERSION in tlamatini/settings.py so the chat / ACP frontend re-fetches CSS+JS bundles after a frontend change.
web-shader-extractor
A skill for extracting WebGL, Canvas, and shader effects from web pages and moving them into a standalone JavaScript project. WebGL and Canvas are browser technologies for drawing interactive graphics.
ui-ux-pro-max
UI/UX design intelligence and implementation guidance for building polished interfaces. Use when the user asks for UI design, UX flows, information architecture, visual style direction, design systems/tokens, component specs, copy/microcopy, accessibility, or to generate/critique/refine frontend UI (HTML/CSS/JS…
article-writer
Multi-style article creation skill. Supports 5 writing styles (deep analysis, practical guide, story-driven, opinion, news brief), including complete workflow: material collection → outline → content → formatting. Activated when users mention "write article", "write post", "create", or "draft".