mat-melting-point

mat-melting-point is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 24 tokens per session (1,838 once invoked), scanned A, original, MIT.

Calculate the melting temperature of a material using the solid-liquid interface (coexistence) method.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/learningmatter-mit/atomisticskills/mat-melting-point
Any agent
npx skills add learningmatter-mit/AtomisticSkills --skill mat-melting-point
Clone the repo
git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills

Made for: Claude Code, Codex.

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 mat-melting-point

README.md
[![agentmods](https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-melting-point.svg)](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-melting-point)
Your own site
<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-melting-point"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-melting-point.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,838 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00024 $0.01838
Opus 5 $0.00012 $0.00919
Sonnet 5 $0.00005 $0.00368
Haiku 4.5 $0.00002 $0.00184

Measured today against content hash e75e9aede33e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mat-melting-point 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 today.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/check_phase.py, scripts/create_interface.py, scripts/create_supercell.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/mat-melting-point/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Melting Point

Goal

To determine the thermodynamic melting temperature ($T_m$) of a bulk material by equilibrating a solid-liquid interface in an NVE ensemble.

Instructions

  1. Background Research:

    • Search for the approximate melting point ($T_m$) and boiling/evaporation point ($T_{vap}$) of the material.
    • Choose a melting temperature $T_{melt}$ where $T_m < T_{melt} \ll T_{vap}$.
    • MD Parameters: Refer to the mat-md-monitors skill for best practices on timesteps and monitors. In general, use a 2.0 fs timestep for systems without Hydrogen.
  2. Phase Preparation:

    • Solid: Create a supercell using create_supercell.py.
    # Env: base-agent
    python .agents/skills/mat-melting-point/scripts/create_supercell.py [input_structure.cif] [solid_supercell.cif] --min_length 20.0
    
    • Liquid: Melt a block using 1D-NPT (with mask) to ensure matching dimensions.
    mcp_mace_run_md(
        structure_data="solid_supercell.cif",
        temperature=2000,  # REPLACE with T_melt from Step 1
        ensemble="npt",
        steps=5000,
        timestep=2.0,      # Use 2.0 fs for most inorganic systems
        pressure=1.0,      # Apply positive pressure (1-2 bar) to prevent evaporation
        pressure_mask=[1, 0, 0], # REQUIRED: Must match the stacking axis (e.g., x-axis)
        output_dir="melt_stage"
    )
    
    • Visual Inspection (CRITICAL): Sometimes the cell does not fully melt within the specified MD steps. You MUST use the mcp_base_visualize_structure tool to generate an image of the final liquid.cif structure (or trajectory) and have the VLM visually inspect the image to confirm that the long-range crystalline order has been destroyed and the cell is completely melted. If it has not, you must run the MD with a higher temperature or for more steps.
  3. Interface Creation: Use create_interface.py to concatenate the two phases.

    # Env: base-agent
    python .agents/skills/mat-melting-point/scripts/create_interface.py solid.cif liquid.cif --axis 0 --output interface.cif
    
  4. Relaxation: Perform an ionic relaxation using the relax_structure MCP tool with relax_cell=True. This allows the unit cell to adjust (shrink/expand) to match the density, and remove the interface energy created by stacking the two cells.

    mcp_mace_relax_structure(structure_data="interface.cif", relax_cell=True)
    
  5. Phase Verification: Before running production MD, verify solid-liquid coexistence in all structures.

Read the full file on GitHub · 165 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. today First seen · 165 lines · 24 tokens per session scan A e75e9aede33e

Subscribe to this mod's changes

mat-melting-point is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 1,838 once invoked, about $0.0001 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 2026-09-03.

Related

Other skills, from other repositories

cd-calculator

Python calculators for geometry analysis, structural checking, solar calculations, panel optimization, mesh analysis, material estimation, and fabrication cost estimation for AEC computational design.

Abhinavbwj/Claude-skills-for-Computational-Designers · 30 tokens

cd-calculator

Python calculators for geometry analysis, structural checking, solar calculations, panel optimization, mesh analysis, material estimation, and fabrication cost estimation for AEC computational design.

marcinfinitesimal533/Claude-skills-for-Computational-Designers · 30 tokens

prepared-environment-designer

Redesign a classroom as a prepared environment optimised for independent learning, calm transitions, and material access. Use when classroom layout hinders independence or self-directed work.

GarethManning/education-agent-skills · 39 tokens

gamedev-shaders

Use when authoring or debugging a shader, material, VFX, or full-screen post-process in a game engine — Godot 4.x .gdshader, Unity 6 URP/HDRP, Unreal 5.x Materials, effect recipes, shader performance. NOT gameplay or engine-API code (that is godot/unity/unreal), NOT physics (gamedev-physics), NOT build variant…

ericrisco/rsc-harness · 102 tokens

technical-artist

!cat skills/shared/protocols/3d-spatial-foundations.md 2>/dev/null || echo "=== 3D Foundations not loaded ===".

buiphucminhtam/forgewright · 54 tokens

unity-shader-artist

!cat skills/shared/game-visual-foundations.md 2>/dev/null || echo "=== Visual Foundations not loaded ===" !cat skills/shared/protocols/ux-protocol.md 2>/dev/null || true !cat skills/shared/protocols/game-test-protocol.md 2>/dev/null || true !cat skills/shared/protocols/quality-gate.md 2>/dev/null || true !cat…

buiphucminhtam/forgewright · 52 tokens