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aesthetic-computer: Skill for Claude Code

.claude/skills/whistlegraph-pop/SKILL.md

whistlegraph-pop is a skill for Claude Code from whistlegraph/aesthetic-computer. It costs 85 tokens per session (474 once invoked), scanned A, original, ISC.

Instructions for turning a Whistlegraph TikTok into the starting information for a pop track. The process reads the audio's tempo, musical key, and whistled melody notes.

In plain words
What is it for?
Processing a Whistlegraph TikTok, analyzing its audio, and preparing it for conversion into a pop song.
Why use it?
It removes the need to manually download the video and work out its basic musical details before producing a track.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is whistlegraph/aesthetic-computer's own configuration. It tells Claude Code how to work on aesthetic-computer itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything aesthetic-computer configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node toolchain/whistlegraph/grab.mjs <tiktok-url>.

not rated 91repo yesterday A scan 85 tokens original ISC
View source ↗ whistlegraph/aesthetic-computer aesthetic.computer
Reuse

Borrowing it

Nothing to install: this file belongs to whistlegraph/aesthetic-computer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/whistlegraph/aesthetic-computer/main/.claude/skills/whistlegraph-pop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/whistlegraph/aesthetic-computer

Made for: Claude Code.

Wrote 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.

agentmods badge for whistlegraph-pop

README.md
[![agentmods](https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/whistlegraph-pop/github.svg)](https://agentmods.dev/skills/whistlegraph/aesthetic-computer/whistlegraph-pop)
Your own site
<a href="https://agentmods.dev/skills/whistlegraph/aesthetic-computer/whistlegraph-pop"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/whistlegraph-pop/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.

agentmods 80×15 button for whistlegraph-pop

Your own site · 80×15
<a href="https://agentmods.dev/skills/whistlegraph/aesthetic-computer/whistlegraph-pop"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/whistlegraph-pop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 474 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.00474
Opus 5.5 $0.00034 $0.00190
Sonnet 5.5 $0.00017 $0.00095
Haiku 4.5 $0.00009 $0.00047

Measured 2mo ago against content hash bc87e04316b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

whistlegraph-pop 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 2mo 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.

.claude/skills/whistlegraph-pop/SKILL.md · 36 lines

What it actually says

whistlegraph → /pop

Turns a whistled TikTok into a musical readout you can compose a /pop track from. Tooling lives in toolchain/whistlegraph/ (see its README).

Steps

  1. Grab + analyze. From a tiktok URL (or --latest N from the @whistlegraph account):

    node toolchain/whistlegraph/grab.mjs <tiktok-url>

    This downloads the mp4, extracts a mono WAV, and runs analyze.py (pop .venv librosa) → tempo, key/scale, whistled-melody note sequence, onsets → downloads/<id>.analysis.json + INDEX.json.

  2. Read the melody musically. The pyin track quantizes a portamento whistle, so expect neighbor-note jitter (the centsOff column shows the glides) — read the skeleton, not every blip. Identify the hook, its repeats (titles like "… x2" mean the phrase repeats), the longest held notes (structural anchors), and the cadence.

  3. Hand off to /pop. Use key, tempoBPM, and melody[] to compose bottom-up from AC instruments — never Suno end-to-end (see pop/SCORE.md, pop/lib/). The whistled line is the lead/topline.

Notes

  • *.mp4/*.wav are gitignored (reproducible from URL); *.analysis.json and INDEX.json are tracked.
  • node toolchain/whistlegraph/grab.mjs --list summarizes the corpus.
Changes

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.

  1. 2mo ago First seen · 36 lines · 85 tokens per session scan A bc87e04316b6

Subscribe to this mod's changes

whistlegraph-pop is a skill published in the GitHub repository whistlegraph/aesthetic-computer (91 stars, last pushed yesterday), licensed ISC. It adds 85 tokens to every session and 474 once invoked, about $0.0003 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 2026-08-30.

Creative and media
Related

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whistlegraph-pop next to 6 skills from other repositories
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