Borrowing it
Nothing to install: this file belongs to loqwai/paper-cranes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/loqwai/paper-cranes/main/.claude/skills/record/SKILL.mdgit clone --depth 1 https://github.com/loqwai/paper-cranesWrote 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/loqwai/paper-cranes/record)<a href="https://agentmods.dev/skills/loqwai/paper-cranes/record"><img src="https://agentmods.dev/badge/skills/loqwai/paper-cranes/record/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/loqwai/paper-cranes/record"><img src="https://agentmods.dev/badge/skills/loqwai/paper-cranes/record.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 | $0.00043 | $0.01004 |
| Opus 5.5 | $0.00017 | $0.00402 |
| Sonnet 5.5 | $0.00009 | $0.00201 |
| Haiku 4.5 | $0.00004 | $0.00100 |
Grade A, and why
record scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Record — Capture a Music Video from the Shader
Record the WebGL canvas as a WebM video file using the browser's MediaRecorder API. Optionally restarts the music track so the video starts from the beginning.
Context
Arguments (optional duration in seconds, default 30):
!echo "$ARGUMENTS"
Steps
1. Find the active tabs
Call tabs_context_mcp to find:
- The shader tab (jam page or editor — look for
jam.htmloredit.htmlin the URL) - The music tab (Spotify, SoundCloud, YouTube — look for these domains)
If no shader tab is found, tell the user to open one first (suggest /jam).
2. Parse duration
If $ARGUMENTS contains a number, use it as duration in seconds. Default: 30.
If $ARGUMENTS contains "full", read the track duration from the music tab if possible.
3. Determine the output filename
Read the shader name and music tab title to generate a filename:
the-coat-3--rain-apashe.webm
4. Restart the music track
On the music tab, click the Previous button twice to restart from the beginning:
- Find the "Previous" button via
read_page(interactive filter) - Click it twice with
computertool
Wait 0.5s for the track to restart.
5. Start recording
On the shader tab, inject the recording script:
(() => {
const canvas = document.getElementById('visualizer')
const stream = canvas.captureStream(30) // 30fps from canvas
const recorder = new MediaRecorder(stream, {
mimeType: 'video/webm;codecs=vp9',
videoBitsPerSecond: 8000000
})
const chunks = []
recorder.ondataavailable = (e) => { if (e.data.size > 0) chunks.push(e.data) }
recorder.onstop = () => {
const blob = new Blob(chunks, { type: 'video/webm' })
const url = URL.createObjectURL(blob)
const a = document.createElement('a')
a.href = url
a.download = '<FILENAME>'
a.click()
URL.revokeObjectURL(url)
window.flashToast?.('Video saved!')
window._recordingDone = true
}
window._recorder = recorder
window._recordingDone = false
recorder.start(100)
setTimeout(() => {
if (recorder.state === 'recording') recorder.stop()
}, <DURATION_MS>)
window.flashToast?.('Recording... (' + <DURATION_S> + 's)')
return 'recording'
})()
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.
- 11d ago First seen · 113 lines · 43 tokens per session scan A 826e76f1837a
record is a skill published in the GitHub repository loqwai/paper-cranes (7 stars, last pushed 3d ago), licensed BSD-3-Clause. It adds 43 tokens to every session and 1,004 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 2026-10-02.
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