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 loqwai/paper-cranes --skill presetgit 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/preset)<a href="https://agentmods.dev/skills/loqwai/paper-cranes/preset"><img src="https://agentmods.dev/badge/skills/loqwai/paper-cranes/preset/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/preset"><img src="https://agentmods.dev/badge/skills/loqwai/paper-cranes/preset.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 | $0.00055 | $0.02023 |
| Opus 5.5 | $0.00022 | $0.00809 |
| Sonnet 5.5 | $0.00011 | $0.00405 |
| Haiku 4.5 | $0.00006 | $0.00202 |
Grade A, and why
preset scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preset — Save Current Knob State
Capture the current knob values from the live browser session and save them as a named preset in the shader's docs folder. Or batch-process snapshots from the jam page queue.
Context
Arguments (preset name or "process"):
!echo "$ARGUMENTS"
Active shader editor tab:
!echo "Use tabs_context_mcp + javascript_tool to find the editor tab and read knob state"
Mode Selection
If $ARGUMENTS is process or queue, go to Batch Mode below.
Otherwise, go to Live Mode (the original flow).
Batch Mode — Process Jam Page Snapshot Queue
The jam page (jam.html) writes raw snapshot JSON files to shaders/<shader>/docs/.snapshots/ when the user hits spacebar. Each snapshot contains the full knob state AND structured audio features. Your job: read each snapshot, add musical interpretation and naming, write to presets.md, then archive.
Batch Steps
B1. Find unprocessed snapshots
find shaders/ -path '*/docs/.snapshots/*.json' -not -path '*/docs/.snapshots/processed/*' | sort
If none, tell the user there's nothing in the queue.
B2. For each snapshot file
Read the JSON. It contains:
shader— the shader pathknobs—{ knob_1: 0.5, knob_3: 1.0, ... }(only knobs the user set)audio— structured audio features:{ bass: { normalized, zScore, slope, rSquared }, energy: { ... }, ... }timestamp— when it was capturedname— user-provided name (often null)musicTab— browser tab title at capture time (the music source)userNote— user-provided note (often null)
B3. Generate preset name
If the snapshot has a name, use it. Otherwise auto-name from context:
- Music tab title, audio character (drop vs buildup vs chill), knob extremes
- Same naming style as live mode: lowercase, hyphenated, 1-3 words
B4. Read the knob comment block from the .frag file
Grep the shader's .frag file for knob comments (// knob_N:) to label what each knob does.
B5. Interpret the audio state
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 · 209 lines · 55 tokens per session scan A fae55a5d5f72
preset is a skill published in the GitHub repository loqwai/paper-cranes (7 stars, last pushed 3d ago), licensed BSD-3-Clause. It adds 55 tokens to every session and 2,023 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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