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 fusengine/agents --skill motion-assetsgit clone --depth 1 https://github.com/fusengine/agentsWrote 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/fusengine/agents/motion-assets)<a href="https://agentmods.dev/skills/fusengine/agents/motion-assets"><img src="https://agentmods.dev/badge/skills/fusengine/agents/motion-assets/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/fusengine/agents/motion-assets"><img src="https://agentmods.dev/badge/skills/fusengine/agents/motion-assets.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 | $0.00049 | $0.01256 |
| Opus 5.5 | $0.00020 | $0.00502 |
| Sonnet 5.5 | $0.00010 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
motion-assets 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 3d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
It does not draw UI. A screen the product does not have is "invented UI" — a hard-fail in motion-review.
Motion Assets
Agent Workflow (MANDATORY)
| Step | Who / Tool | What |
|---|---|---|
| Before capturing | read fuse-ai-pilot:fuse-browser-usage |
Tool routing and batching rules for mcp__fuse-browser__* |
| Capture N screens | browser_shots_batch (one call, N URLs) |
Real screenshots — never a per-URL loop |
| DPR must be pinned | CDP Emulation.setDeviceMetricsOverride (deviceScaleFactor) |
Same approach as docs/demo/statusline-mod/motion-capture.js |
| After capture | write .motion/assets.json, run the check script |
Provenance + hash |
| Draft review | motion-critic via motion-review |
Truth-safety criterion uses assets.json |
Overview
| Concern | Rule | Reference |
|---|---|---|
| Real screenshots | Captured from the running product, fixed DPR, fixed viewport | real-screenshots.md |
| Pointer & brands | Real OS pointer (hotspot, scaled with camera); no third-party brand look-alikes | pointer-and-brands.md |
| Masking | Replace sensitive values before capture; label "Example data" | data-masking.md |
| Provenance | Every asset in .motion/assets.json with source, settings, masking, sha256 |
provenance.md |
Critical Rules
- Real screenshots only — no redrawn, mocked, or generated UI standing in for the product.
- Fixed DPR and viewport per film — mixed DPRs give mismatched sharpness between beats.
- Mask before capture, not after — replace values in the page; blur and pixelation are not masking.
- Label placeholder data "Example data" — on screen, wherever real values were replaced.
- Sensitive-data list comes from the brief — plus the user-level banned list; never write literal sensitive values into the repo.
- No asset without a provenance entry — an unlisted file in the scene is treated as invented.
- Never client names, never real spend amounts — in assets, labels, filenames, or examples.
- Real OS pointer, never a drawn arrow — hotspot respected, scaled with the camera, recorded as
kind: pointer. - No third-party brand look-alikes — another company's signature color, logo, or app chrome is a trademark risk; use the owner's brand or neutral placeholders.
What ships with it
5 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.
- 3d ago First seen · 102 lines · 49 tokens per session scan A b842be541c23
motion-assets is a skill published in the GitHub repository fusengine/agents (31 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 1,256 once invoked, about $0.0002 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 2026-10-13.
Other skills, from other repositories
radin-record
Log bugs, follow-ups, ideas or feedback raised this session as backlog entries that outlive the conversation. Use for /radin-record or any ask to save something for later, even a vague one ("add the findings"): scan the whole session.
radin-doctor
Check that radin's install under /.claude is complete and its companion tools are reachable.
radin-do
Record one ad-hoc prompt as a backlog entry, then execute just that task. Use for /radin-do .
radin-stats
Show the stats/gain output of every companion tool that ships one, side by side.
radin-batch
Work backlog tasks via sub-agents, prioritized, one commit each; asks whether to plan each task first. Use for "work through my backlog", "skip planning", or name an epic or task to run only those.
designing-interfaces
Creates a design system for software with a UI. Use when a project has a user interface and architecture is confirmed — whether creating from scratch or extracting patterns from existing code.