PyTheory is a Python toolkit for exploring music theory and composing music, with immediate audio playback and visual representations such as guitar tabs and chord diagrams. Musicians and programmers use it to create arrangements across multiple musical systems, instruments, rhythms, and effects. The catalogue add-ons provide agent guidance for working with the project.
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 kennethreitz/pytheory --skill composing-with-pytheorygit clone --depth 1 https://github.com/kennethreitz/pytheoryWrote 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/kennethreitz/pytheory/composing-with-pytheory)<a href="https://agentmods.dev/skills/kennethreitz/pytheory/composing-with-pytheory"><img src="https://agentmods.dev/badge/skills/kennethreitz/pytheory/composing-with-pytheory/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/kennethreitz/pytheory/composing-with-pytheory"><img src="https://agentmods.dev/badge/skills/kennethreitz/pytheory/composing-with-pytheory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00138 | $0.04618 |
| Opus 5.5 | $0.00055 | $0.01847 |
| Sonnet 5.5 | $0.00028 | $0.00924 |
| Haiku 4.5 | $0.00014 | $0.00462 |
Grade A, and why
composing-with-pytheory 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- composing-with-pytheory — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Composing with PyTheory
PyTheory turns music theory into runnable Python. You build a Score, add parts
(chords, melodies, basslines) and drums, then render it to audio or MIDI —
every sound is synthesized from math, so there are no samples, plugins, or DAW to
install.
How to work
- Write a short Python script that builds a
Scoreand either plays it or saves it. Don't compose by chaining shell one-liners — a script is clearer, reproducible, and easy to iterate on. - Run it with
uv run python song.pywhen uv is available, otherwisepython3 song.py. - To let the user hear it, call
play_score(score)(speakers) or render to a WAV they can open. To hand off to a DAW, save MIDI.
If PyTheory isn't installed, prefer uv when available: uv pip install pytheory
(or uv add pytheory in a uv project); otherwise pip install pytheory. For live
MIDI input add the extra: uv pip install "pytheory[live]" (or pip install "pytheory[live]"). NumPy/SciPy ship as PyTheory dependencies, so the
scipy.io.wavfile WAV export below needs no extra install.
Core building blocks
from pytheory import Score, Key, Chord, Duration
score = Score("4/4", bpm=120) # time signature + tempo
# A part is a voice with its own synth/instrument and effects.
piano = score.part("piano", instrument="piano", reverb=0.3)
lead = score.part("lead", synth="saw", envelope="pluck", lowpass=4000)
bass = score.part("bass", synth="triangle", lowpass=900)
# Chords from a Key's progression (Roman numerals) or Chord.from_symbol.
for chord in Key("G", "major").progression("I", "V", "vi", "IV"):
piano.add(chord, Duration.WHOLE)
# Melodies are note names + durations (a float = beats, or Duration.*).
lead.add("D5", 1).add("B4", 0.5).add("D5", 0.5).add("G5", 2)
lead.rest(2)
for n in ["G2", "D2", "E2", "C2"]:
bass.add(n, Duration.WHOLE)
part.add(note_or_chord, duration)chains and returns the part.part.rest(duration)inserts silence.Duration.WHOLE / HALF / QUARTER / EIGHTH / SIXTEENTHplus dotted variants (DOTTED_HALF,DOTTED_QUARTER, …), or pass a float in beats (1,0.5,0.25,0.125).Key(tonic, mode).progression("I", "V", "vi", "IV")returnsChords (lowercase numeral = minor, e.g."i","VI").Key(...).chordslists the diatonic chords;Key(...).scalegives the scale tones.Chord.from_symbol("F#m7b5")parses any symbol.- Note names are scientific pitch (
C4= middle C).Tone.from_string("A1")builds an explicit pitch;tone.add(12)/tone.add(-12)shift octaves.
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.
- 2mo ago First seen · 330 lines · 138 tokens per session scan A e916e8fa6057
composing-with-pytheory is a skill published in the GitHub repository kennethreitz/pytheory (1,659 stars, last pushed 9d ago), licensed MIT. It adds 138 tokens to every session and 4,618 once invoked, about $0.0006 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.
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