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pysr SKILL.md skillA

pysr from astroautomata/pysr is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add astroautomata/pysr/pysr@git:20260930.c13687a

Pins git:20260930.c13687a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
astroautomata/pysr
Path
skills/pysr/SKILL.md
Versions recorded
10
Latest version
git:20260930.c13687a, committed Sep 30, 2026
First version recorded
Aug 22, 2026
Size
30,223 bytes
Repository stars
4,247
License
Apache-2.0

Use when fitting equations to data with PySR or SymbolicRegression.jl, when a user wants an interpretable formula, symbolic model, scaling law, or empirical relation discovered from numeric data, or when debugging a PySR search that is slow, stuck, or giving poor equations.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Using PySR Effectively

PySR evolves expression trees through the Julia backend SymbolicRegression.jl, returning readable equations on an accuracy/complexity Pareto front. This guide distills the documentation and several hundred real user threads. Full docs: https://pysr.ai/

## Quick start

```python
# pip install pysr  (Julia is downloaded automatically on first import; no separate install)
import numpy as np
from pysr import PySRRegressor

X = 2 * np.random.randn(100, 5)
y = 2 * np.cos(X[:, 3]) + X[:, 0] ** 2 - 2

model = PySRRegressor(
    binary_operators=["+", "-", "*", "/"],
    unary_operators=["cos"],
    niterations=100,
)
model.fit(X, y)
print(model)            # Pareto front: complexity, loss, equation
model.predict(X)        # uses the auto-selected "best" equation
model.sympy()           # SymPy expression
model.latex()           # LaTeX string
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add astroautomata/pysr/pysr@sha256:c1ba05c3a7d7f9dd

The line at the top of this page pins the label git:20260930.c13687a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nvpoer7rasyditat.svg)](https://markdownregistry.com/a/art_nvpoer7rasyditat)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 10 versions of this file, between Aug 22, 2026 and Sep 30, 2026, about one every 4 days.

versioncommittedcommitsizeaudit
git:20260930.c13687a latest2026-09-30 c13687a 30,223 BA view · diff
git:20260923.e999da72026-09-23 e999da7 29,977 BA view · diff
git:20260923.7873cfa2026-09-23 7873cfa 30,001 BA view · diff
git:20260918.57ed43a2026-09-18 57ed43a 30,017 BA view · diff
git:20260917.b566bdb2026-09-17 b566bdb 40,274 BA view · diff
git:20260910.4c61b902026-09-10 4c61b90 36,418 BA view · diff
git:20260907.0caa20a2026-09-07 0caa20a 36,300 BA view · diff
git:20260906.fe41c382026-09-06 fe41c38 35,722 BA view · diff
git:20260826.d64ef622026-08-26 d64ef62 32,086 BA view · diff
git:20260822.85c2cc62026-08-22 85c2cc6 28,812 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (30223 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

astroautomata/pysr · 4,247 stars · license Apache-2.0 · pushed 2026-11-02 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_nvpoer7rasyditat
GET https://markdownregistry.com/api/v1/resolve?ref=astroautomata/pysr/pysr
GET https://markdownregistry.com/api/v1/blob/c1ba05c3a7d7f9dda62bb8ce8f24ed3e65d832d8448fc996044877c974ffddef

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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