chord-lab-with-pytheory

chord-lab-with-pytheory is a skill for Claude Code from kennethreitz/pytheory. It costs 114 tokens per session (2,231 once invoked), scanned A, original, MIT.

A PyTheory tool for building and studying one musical chord, including its notes, inversions, alternate voicings, extensions, tension, and pitch-class analysis.

In plain words
What is it for?
Use it to inspect chord tones, create piano or string voicings, explore substitutions and extensions, or analyze a chord’s intervals and set classification.
Why use it?
It makes detailed chord construction and comparison reproducible in Python instead of relying on manual note calculations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the composing-with-pytheory plugin — 6 skills shipped together

Good fit Use it to inspect chord tones, create piano or string voicings, explore substitutions and extensions, or analyze a chord’s intervals and set classification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kennethreitz/pytheory/chord-lab-with-pytheory
About the project

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.

kennethreitz/pytheory · 1,659 stars · on GitHub · pytheory.org

Install

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.

Any agent
npx skills add kennethreitz/pytheory --skill chord-lab-with-pytheory
Clone the repo
git clone --depth 1 https://github.com/kennethreitz/pytheory

Made for: Claude Code.

Or install composing-with-pytheory, the plugin that ships this one along with the rest of its 6 skills.

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 chord-lab-with-pytheory

README.md
[![agentmods](https://agentmods.dev/badge/skills/kennethreitz/pytheory/chord-lab-with-pytheory/github.svg)](https://agentmods.dev/skills/kennethreitz/pytheory/chord-lab-with-pytheory)
Your own site
<a href="https://agentmods.dev/skills/kennethreitz/pytheory/chord-lab-with-pytheory"><img src="https://agentmods.dev/badge/skills/kennethreitz/pytheory/chord-lab-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.

agentmods 80×15 button for chord-lab-with-pytheory

Your own site · 80×15
<a href="https://agentmods.dev/skills/kennethreitz/pytheory/chord-lab-with-pytheory"><img src="https://agentmods.dev/badge/skills/kennethreitz/pytheory/chord-lab-with-pytheory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,231 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00114 $0.02231
Opus 5.5 $0.00046 $0.00892
Sonnet 5.5 $0.00023 $0.00446
Haiku 4.5 $0.00011 $0.00223

Measured 1mo ago against content hash efe7f258946c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

chord-lab-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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugin/plugins/composing-with-pytheory/skills/chord-lab-with-pytheory/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chord Lab

Everything about a single chord — construction, voicing, and analysis.

Build a chord

from pytheory import Chord

Chord.from_symbol("F#m7b5")     # widest parser: sus, add9, alterations, slash
Chord.from_name("Am")           # plain names (major/minor/7/maj7/dim/…)
Chord.from_intervals("C", 0, 4, 7)   # root + semitone intervals
Chord.from_tones("C", "E", "G")      # explicit notes

A Chord has .symbol, .tones (list of Tone), .root, and .transpose(semitones).

Voicings

inversion, drop2, drop3, and open_voicing return a new Chord. The chord symbol stays the same — the change is in the tones (order/octave), so inspect .tones:

c = Chord.from_symbol("Cmaj7")
[str(t) for t in c.tones]                  # ['C4', 'E4', 'G4', 'B4']
[str(t) for t in c.inversion(1).tones]     # ['E4', 'G4', 'B4', 'C5']
[str(t) for t in c.drop2().tones]          # ['G3', 'C4', 'E4', 'B4']
[str(t) for t in c.open_voicing().tones]   # ['C4', 'E5', 'G4', 'B5']

drop3() exists too. Use these to spread a close voicing for piano/strings/guitar.

Analysis

c = Chord.from_symbol("Cmaj7")

c.intervals            # [4, 3, 4]   semitone steps between stacked tones
c.pitch_classes        # {0, 4, 7, 11}
c.forte_number         # '4-20'      set-theory label
c.figured_bass         # '7'
c.extensions()         # [<Tone D5>, <Tone A5>]   available 9/11/13 tones
c.tension              # {'score': 0.15, 'tritones': 0, 'minor_seconds': 1,
                       #  'has_dominant_function': False}
c.dissonance           # 5.33  (a roughness number; higher = more dissonant)
c.beat_frequencies     # [(Tone, Tone, hz), …]  beating between pairs in ET

Pitch-class-set toolkit

c = Chord.from_symbol("Cmaj7")

c.normal_form          # (11, 0, 4, 7)   most compact ordering
c.prime_form           # (0, 1, 5, 8)    canonical set-class form
c.interval_vector      # (1, 0, 1, 2, 2, 0)  interval-class content <ic1..ic6>
c.complement           # Chord of the other 8 pitch classes

# Set-class relationships between two chords:
Chord.from_symbol("C").is_transposition_of(Chord.from_symbol("G"))   # True (Tn)
Chord.from_symbol("C").is_set_class_equivalent(Chord.from_symbol("Cm"))  # True (TnI: maj/min)
Chord.from_symbol("C").is_subset_of(Chord.from_symbol("Cmaj7"))      # True
# Z-relation — same interval vector, different set class (e.g. 4-z15 / 4-z29):
a, b = Chord.from_midi_message(0,1,4,6), Chord.from_midi_message(0,1,3,7)
a.is_z_related(b)      # True

Read the full file on GitHub · 178 lines

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. 1mo ago First seen · 178 lines · 114 tokens per session scan A efe7f258946c

Subscribe to this mod's changes

chord-lab-with-pytheory is a skill published in the GitHub repository kennethreitz/pytheory (1,659 stars, last pushed 7d ago), licensed MIT. It adds 114 tokens to every session and 2,231 once invoked, about $0.0005 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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