pycalphad SKILL.md skillA
pycalphad from jkitchin/knowhow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jkitchin/knowhow/pycalphad@git:20260307.3e74b2fPins git:20260307.3e74b2f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jkitchin/knowhow
- Path
skills/programming/pycalphad/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260307.3e74b2f, committed Mar 7, 2026
- First version recorded
- Nov 29, 2025
- Size
- 17,865 bytes
- Repository stars
- 42
- License
- MIT
Expert guidance for pycalphad - computational thermodynamics library implementing the CALPHAD method for calculating phase diagrams, phase equilibria, and thermodynamic properties of multicomponent materials systems using thermodynamic databases (TDB files).
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
# pycalphad - Computational Thermodynamics in Python ## Overview **pycalphad** is a Python library for computational thermodynamics within the CALPHAD (CALculation of PHAse Diagrams) framework. It enables users to design thermodynamic models, compute phase diagrams, calculate phase equilibria, and predict thermodynamic properties for multicomponent materials systems. **Core capabilities:** - Read and process Thermo-Calc database (TDB) files - Calculate binary, ternary, and multicomponent phase diagrams - Perform Gibbs energy minimization for phase equilibrium - Compute thermodynamic properties (activity, chemical potentials, heat capacity) - Model ordered phases and systems with charged species - Calculate driving forces and metastability **Target users:** Researchers and practitioners in materials science, metallurgy, and computational thermodynamics who want to perform CALPHAD calculations programmatically. ## When to Use This Skill Use pycalphad when: - Calculating phase diagrams (binary, ternary, or multicomponent systems) - Determining phase equilibria at specific temperature/composition/pressure conditions - Computing thermodynamic properties from CALPHAD databases …
Read the whole file at its exact version.
How to install
mdr add jkitchin/knowhow/pycalphad@sha256:62fc210d5fe38d91The line at the top of this page pins the label git:20260307.3e74b2f, 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.
[](https://markdownregistry.com/a/art_t7xtoknrkxvd7d5w)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Nov 29, 2025 and Mar 7, 2026, about one every 98 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260307.3e74b2f latest | 2026-03-07 | 3e74b2f | 17,865 B | A | view · diff |
| git:20251129.04f5659 | 2025-11-29 | 04f5659 | 17,844 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17865 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
jkitchin/knowhow · 42 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t7xtoknrkxvd7d5w GET https://markdownregistry.com/api/v1/resolve?ref=jkitchin/knowhow/pycalphad GET https://markdownregistry.com/api/v1/blob/62fc210d5fe38d91d3f673d32b39dd8ed056315573d67343edcc263fe6c264f3
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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