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 KumarSashank/motiscope --skill motiscope-analyzegit clone --depth 1 https://github.com/KumarSashank/motiscopeWrote 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/kumarsashank/motiscope/motiscope-analyze)<a href="https://agentmods.dev/skills/kumarsashank/motiscope/motiscope-analyze"><img src="https://agentmods.dev/badge/skills/kumarsashank/motiscope/motiscope-analyze/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/kumarsashank/motiscope/motiscope-analyze"><img src="https://agentmods.dev/badge/skills/kumarsashank/motiscope/motiscope-analyze.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 | $0.00103 | $0.03375 |
| Opus 5 | $0.00051 | $0.01688 |
| Sonnet 5 | $0.00021 | $0.00675 |
| Haiku 4.5 | $0.00010 | $0.00337 |
Grade B, and why
motiscope-analyze scanned grade B with 1 finding 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 12d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
enable `tools.view_image = true` in `~/.codex/config.toml`, or have the user relaunch with Copies of this mod
1 near-identical copy found in the catalogue:
- analyze — 92% identical, 64 lines differ
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
motiscope: analyze
Analyze a screen recording of an animation to characterize its motion — timing, easing, transforms, and sequencing — so it can be recreated as web code. Use when the user drops or points at a video of an animation (.mp4/.mov/.webm/.mkv/.m4v/.avi/.gif) and says things like "I want this animation on my site", "recreate this motion", "how is this animated", or runs
motiscope-analyze.
Arguments ([path-to-video] [notes]): take them from the user's message. If they're missing, infer them or ask.
Running motiscope
motiscope is a shell command. If it isn't found it isn't on your PATH — see
https://github.com/KumarSashank/motiscope#install. The reference guides live under
$(motiscope home)/references/.
Invoking the sibling skills. In Codex, mention a skill with $motiscope-recreate. In
Cursor, use /motiscope-recreate. Elsewhere, just follow that skill's SKILL.md.
Seeing the frames — do not skip this. The curated keyframes are PNG files on disk, and
you must actually look at them. Codex: use the view_image tool (if it's unavailable,
enable tools.view_image = true in ~/.codex/config.toml, or have the user relaunch with
codex -i frame1.png,frame2.png). Cursor: the file-reading tool accepts .png and puts
the image in context. If you genuinely cannot open images, say so — you can still
report the measured timing, but you cannot know what is animating, and you must not
guess it from the filenames.
Turn a screen recording of an animation into a precise, target-agnostic animation spec you can hand to motiscope-recreate. A bundled Python pipeline measures the motion (a dense per-frame motion-energy curve + ffmpeg signal analysis — this is the source of truth for timing and easing) and extracts a small set of curated PNG keyframes for you to see. You combine the two into the spec.
Step 0 — preflight (silent on success)
motiscope doctor --check
Exit 0 → proceed silently. Non-zero → ffmpeg/ffprobe are missing; hand off to motiscope-doctor (don't try to analyze without them).
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.
- 12d ago First seen · 189 lines · 103 tokens per session scan B bd5bc0231e87
motiscope-analyze is a skill published in the GitHub repository KumarSashank/motiscope (112 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 3,375 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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