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 learningmatter-mit/AtomisticSkills --skill mat-db-nist-janafgit clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkillsWrote 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/learningmatter-mit/atomisticskills/mat-db-nist-janaf)<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-db-nist-janaf"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-db-nist-janaf.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00499 |
| Opus 5 | $0.00015 | $0.00249 |
| Sonnet 5 | $0.00006 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
mat-db-nist-janaf 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 3d 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
mat-db-nist-janaf
Goal
To query experimental temperature-dependent thermodynamic properties and standard states (e.g. Standard Enthalpy of Formation $\Delta_f H^\circ_{298}$, Standard Entropy $S^\circ_{298}$, and $C_p$) from the NIST Chemistry WebBook and JANAF tables for benchmarking against DFT/MLIP calculations.
Instructions
Step 1. Query Thermochemistry Data
Use the query_janaf.py script to fetch thermodynamic data for a given chemical formula. The script automatically searches the WebBook for the closest matching standard element or compound and parses the HTML tables to extract the gas-phase or condensed-phase standard thermochemistry values.
# Env: base-agent
python .agents/skills/mat-db-nist-janaf/scripts/query_janaf.py <formula> <output_json>
Parameters:
formula: The chemical formula to query (e.g.,CH4,CO2,H2O).output_json: Path to the output JSON file where results will be stored.
Constraints
- Environments: The scripts require the
base-agentConda environment. - Scraping Dependability: This script utilizes HTML scraping (
beautifulsoup4). If the NIST WebBook layout changes in the future, the table selectors may need to be updated. - Isotopes: By default, the script skips explicitly isotopically-labelled variants (unless it's the only match) to return the standard natural-abundance compound.
References
- Linstrom, P.J. and Mallard, W.G., Eds., NIST Chemistry WebBook, NIST Standard Reference Database Number 69, National Institute of Standards and Technology, Gaithersburg MD. URL
- Chase, M.W., Jr., NIST-JANAF Thermochemical Tables, Fourth Edition, J. Phys. Chem. Ref. Data, Monograph 9, 1998, 1-1951.
Author: Bowen Deng Contact: GitHub @learningmatter-mit
What ships with it
3 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.
- 3d ago First seen · 40 lines · 30 tokens per session scan A a577cfad3574
mat-db-nist-janaf is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (161 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 499 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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