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 ma-compbio-lab/SkillFoundry --skill matminer-composition-featurizationgit clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundryWrote 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/ma-compbio-lab/skillfoundry/matminer-composition-featurization)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/matminer-composition-featurization"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/matminer-composition-featurization/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/ma-compbio-lab/skillfoundry/matminer-composition-featurization"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/matminer-composition-featurization.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 | $0.00000 | $0.00257 |
| Opus 5 | $0.00000 | $0.00129 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
matminer-composition-featurization 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 5d 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.
What it actually says
Matminer Composition Featurization
Use this skill to compute deterministic stoichiometry-style composition features for a short list of formulas with matminer.
What it does
- Parses one or more formulas with
pymatgen. - Computes
matminerstoichiometry features for each composition. - Returns compact JSON with reduced formulas, simple stoichiometry norms, and top element fractions.
When to use it
- You need a first runnable materials-informatics starter in this repository.
- You want a light composition-featurization template before moving to heavier property-prediction workflows.
Example
slurm/envs/materials/bin/python skills/materials-science-and-engineering/matminer-composition-featurization/scripts/run_matminer_composition_features.py \
--formula Fe2O3 \
--formula LiFePO4 \
--out scratch/materials/matminer_features.json
Verification
- Skill-local tests:
python3 -m unittest discover -s skills/materials-science-and-engineering/matminer-composition-featurization/tests -p 'test_*.py' - Repository smoke:
python3 -m unittest tests.smoke.test_frontier_domain_skills -v
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 29 lines · 0 tokens per session scan A 8d4e75bfc7e7
matminer-composition-featurization is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 257 tokens. 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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