mat-db-mp

mat-db-mp is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 31 tokens per session (2,714 once invoked), scanned A, original, MIT.

Query Materials Project database for crystal structures, computed properties, elastic/magnetic data, and structurally similar materials using the MP API.

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-db-mp
Any agent
npx skills add learningmatter-mit/AtomisticSkills --skill mat-db-mp
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-db-mp

README.md
[![agentmods](https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-db-mp.svg)](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-db-mp)
Your own site
<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-db-mp"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-db-mp.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,714 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 $0.00031 $0.02714
Opus 5 $0.00015 $0.01357
Sonnet 5 $0.00006 $0.00543
Haiku 4.5 $0.00003 $0.00271

Measured today against content hash 38a7f7888890, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mat-db-mp 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 10 executable files (examples/elasticity/elasticity_query.sh, examples/get_structure/structure_retrieval.sh, examples/magnetism/magnetism_query.sh, …), 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-db-mp/SKILL.md · 301 lines

How it starts

The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Materials Project Database Query

Goal

To retrieve crystal structures and computed properties from the Materials Project database, enabling efficient materials discovery and property analysis. This skill provides access to:

  • Basic material properties (energy above hull, formation energy, band gap)
  • Elastic properties (bulk modulus, shear modulus, elastic tensors)
  • Magnetic properties (magnetic ordering, magnetization, site moments)
  • Structure similarity search (CrystalNN-based fingerprinting)

Note: For quick structure retrieval by formula or chemical system, MCP tools are also available (see MCP Tools section).

Instructions

1. Query Materials by Chemical System or Formula

Use query_mp.py to search for materials by chemical system, formula, or elements with property filtering.

Basic Query (Summary Endpoint):

# Env: base-agent
python .agents/skills/mat-db-mp/scripts/query_mp.py \
    --chemsys "Li-S" \
    --properties energy_above_hull formation_energy_per_atom band_gap \
    --e_above_hull_max 0.05 \
    --limit 10 \
    --endpoint summary \
    --output stable_li_s_materials.json

Detailed Thermodynamic Data (Thermo Endpoint):

# Env: base-agent
python .agents/skills/mat-db-mp/scripts/query_mp.py \
    --chemsys "Li-O" \
    --endpoint thermo \
    --limit 20 \
    --output li_o_thermo.json

Key Parameters:

  • --chemsys: Chemical system (e.g., "Li-S", "Si-O")
  • --formula: Specific chemical formula (e.g., "LiFePO4")
  • --elements: List of elements that must be present
  • --properties: Properties to retrieve (default: energy_above_hull, formation_energy_per_atom)
  • --e_above_hull_max: Maximum energy above hull for stability filtering (eV/atom)
  • --endpoint: Choose summary (includes structures) or thermo (detailed thermodynamics, no structures)
  • --limit: Maximum number of results to retrieve

Output: JSON file containing material IDs, formulas, CIF strings (summary endpoint), and requested properties.

Read the full file on GitHub · 301 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 · 301 lines · 31 tokens per session scan A 38a7f7888890

Subscribe to this mod's changes

mat-db-mp is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 2,714 once invoked, about $0.0002 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.

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