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-reviewgit 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-review)<a href="https://agentmods.dev/skills/fusengine/agents/motion-review"><img src="https://agentmods.dev/badge/skills/fusengine/agents/motion-review/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-review"><img src="https://agentmods.dev/badge/skills/fusengine/agents/motion-review.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 | $0.00262 | $0.02413 |
| Opus 5.5 | $0.00105 | $0.00965 |
| Sonnet 5.5 | $0.00052 | $0.00483 |
| Haiku 4.5 | $0.00026 | $0.00241 |
Grade A, and why
motion-review 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Richness comes from value contrast, type as a large object, composition and rhythm. Flatness is a hard-fail, not a low score. A lone paper plane with small objects, display type under 180 px, a TYPE_SCALE under 4, a centered hero, mid-tone fills, too few full-bleed fields, a span over 0.75 s with no gesture (final CTA still over 1.2 s), fewer than 1 gesture onset per second, a drift and a crossfade each fail the film. So does any decorative effect, with no exception (the bounded swap blur, master motion blur, ≤ 3 % overshoot and purposeful 3D are not effects). Hard-fails come first, then 9 scored criteria. PASS = no hard-fail, every scored criterion ≥ 7 and a mean ≥ 8.0. ffmpeg missing → UNCERTAIN. One pass only.
Motion Review
Agent Workflow (MANDATORY)
- Builder runs
bash .motion/review-pack.sh <video>(template below) and hands the critic only: video path,.motion/review/, byte budget, expected pix_fmt. - Critic reads
ffprobe.jsonfirst; ffprobe/ffmpeg missing → UNCERTAIN, stop. Thengenre.txt(missing →assumed ad). - Restate the message in one sentence from the frames — before opening the rubric.
- Hard-fails first (hard-fails.md): confirm or reject each
flags.txtcandidate on frames with the critic-safe checks (review-pack.md). Check every F, M, D, L, X (by genre) and S row. - Read the look (
look.md,refs.md,board.pngin the pack), then score the 9 criteria (rubric.md); map weak scores via symptom-cause.md. - Emit the block in verdict-format.md — hard-fails listed first. Stop.
What ships with it
7 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 · 141 lines · 262 tokens per session scan A 32f3c63c141c
motion-review is a skill published in the GitHub repository fusengine/agents (31 stars, last pushed 3d ago), licensed MIT. It adds 262 tokens to every session and 2,413 once invoked, about $0.0010 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.