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 --skill playing-guitar-with-pytheorygit clone --depth 1 https://github.com/kennethreitz/pytheory-skillWrote 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-skill/playing-guitar-with-pytheory)<a href="https://agentmods.dev/skills/kennethreitz/pytheory-skill/playing-guitar-with-pytheory"><img src="https://agentmods.dev/badge/skills/kennethreitz/pytheory-skill/playing-guitar-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-skill/playing-guitar-with-pytheory"><img src="https://agentmods.dev/badge/skills/kennethreitz/pytheory-skill/playing-guitar-with-pytheory.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 | $0.00165 | $0.02429 |
| Opus 5.5 | $0.00066 | $0.00972 |
| Sonnet 5.5 | $0.00033 | $0.00486 |
| Haiku 4.5 | $0.00016 | $0.00243 |
Grade A, and why
playing-guitar-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.
This is a copy
100% identical to playing-guitar-with-pytheory — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playing guitar (and strings) with PyTheory
PyTheory models the fretboard: chord shapes, fingerings, tablature, scale diagrams, alternate tunings, and chord identification — for guitar and ~20 other stringed instruments — plus a real-time tuner. The fretboard tools are pure Python (run a script or one-liner); the tuner is a CLI that listens to your mic.
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.
Fingerings, chord shapes & tab
from pytheory import Fretboard, Chord
fb = Fretboard.guitar()
print(fb.tab("Am")) # ASCII tablature for a chord (high e on top)
# A minor
# e|--0--
# B|--1--
# G|--2--
# D|--2--
# A|--0--
# E|--x--
shape = fb.chord("Am") # a Fingering object
shape.positions # (None, 0, 2, 2, 1, 0) — None = muted string
shape.string_names # ('E', 'A', 'D', 'G', 'B', 'e') — data model, low-to-high
print(shape.tab()) # same ASCII tab (always high-to-low display)
Fretboard.guitar()and friends build a fretboard;.chord("Cmaj7")returns aFingering,.tab("Cmaj7")returns the ASCII tab string directly..fingering(0, 2, 2, 1, 0, 0)builds aFingeringfrom explicit fret numbers (low-to-high), e.g. to check a shape you have in mind.- A
Fingeringhas.positions,.string_names,.tones,.tab(),.identify(), and.to_chord().
Charted-chord coverage:
.chord()/.tab()look the name up in a library of ~144 common voicings — every root in major, minor,5,6,7,m7,maj7,9,m9,maj9, anddim. Names outside that set (e.g.sus4,m7b5,aug,add9) raiseKeyError. For those, either build the shape yourself with.fingering(...), or work from the chord's notes viaChord.from_symbol("F#m7b5")(see "Identify a chord").CHARTS["western"].keys()lists everything charted.
Other instruments
All take the same .chord() / .tab() / .scale_diagram() API:
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.
- 1mo ago First seen · 213 lines · 165 tokens per session scan A 6202d2eec193
playing-guitar-with-pytheory is a skill published in the GitHub repository kennethreitz/pytheory-skill (3 stars, last pushed 4mo ago), licensed MIT. It adds 165 tokens to every session and 2,429 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to playing-guitar-with-pytheory, differing in 0 lines, and is treated as a copy.
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