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 SFETNI/Deep-Matter-Chem-Skills --skill phase-field-workflowgit clone --depth 1 https://github.com/SFETNI/Deep-Matter-Chem-SkillsWrote 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/sfetni/deep-matter-chem-skills/phase-field-workflow)<a href="https://agentmods.dev/skills/sfetni/deep-matter-chem-skills/phase-field-workflow"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/phase-field-workflow/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/sfetni/deep-matter-chem-skills/phase-field-workflow"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/phase-field-workflow.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 | $0.00004 | $0.04217 |
| Opus 5 | $0.00002 | $0.02108 |
| Sonnet 5 | $0.00001 | $0.00843 |
| Haiku 4.5 | $0.00000 | $0.00422 |
Grade A, and why
phase-field-workflow 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase-Field Workflow
Description
This skill covers phase-field modeling for microstructure evolution: choosing order parameters, constructing free-energy functionals, solving Allen-Cahn and Cahn-Hilliard equations, calibrating thermodynamic and kinetic parameters, verifying numerical convergence, and validating simulations of spinodal decomposition, coarsening, grain growth, precipitation, solidification, and phase separation. Invoke this skill when a microstructure evolution problem requires mesoscale fields and thermodynamic driving forces rather than atomistic trajectories or purely empirical kinetics.
Domain Context
Phase-field models describe evolving microstructures with continuous fields rather than explicitly tracking sharp interfaces. A field can represent composition, phase fraction, crystallographic variant, grain orientation, order-disorder state, or another coarse-grained state variable. Interfaces emerge from gradient-energy penalties and diffuse over a finite width, which makes topology changes such as coalescence, splitting, and impingement easier to simulate than with sharp-interface methods.
The central approximation is coarse graining. Phase-field models do not resolve atomic jumps, explicit dislocations, molecular mechanisms, or interface structures unless those effects are embedded into free energies, mobilities, boundary conditions, or coupled fields. Results are quantitative only when thermodynamic functions, gradient coefficients, mobilities, elastic constants, anisotropies, noise terms, boundary conditions, and numerical discretization are all calibrated and validated for the material and regime. [EXPERT REVIEW NEEDED]
The physical meaning of the fields matters. Conserved fields such as composition obey mass conservation and are commonly evolved with Cahn-Hilliard-type equations. Non-conserved fields such as structural order parameters, phase indicators, and orientation variables often follow Allen-Cahn-type kinetics. Coupled models combine both, for example precipitation with conserved solute composition and non-conserved precipitate order parameters.
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.
- 11d ago First seen · 300 lines · 4 tokens per session scan A 7871da5ce83d
phase-field-workflow is a skill published in the GitHub repository SFETNI/Deep-Matter-Chem-Skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 4 tokens to every session and 4,217 once invoked, about $0.0000 per session on Opus 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 2026-08-31.
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