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 agentmods add skills/learningmatter-mit/atomisticskills/mat-xrd-phase-analysisnpx skills add learningmatter-mit/AtomisticSkills --skill mat-xrd-phase-analysisgit 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-xrd-phase-analysis)<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-xrd-phase-analysis"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-xrd-phase-analysis.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 | $0.00022 | $0.01791 |
| Opus 5 | $0.00011 | $0.00896 |
| Sonnet 5 | $0.00004 | $0.00358 |
| Haiku 4.5 | $0.00002 | $0.00179 |
Grade A, and why
mat-xrd-phase-analysis 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.
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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XRD Phase Analysis (DARA Tree Search)
Goal
Identify crystalline phases present in an XRD pattern by using DARA's phase search (parallelized tree search with BGMN), following the DARA tutorial (Tutorial 2: Phase analysis with tree search).
This skill:
- Fetches candidate CIFs for a given chemical system (e.g.
Ge-O-Zn) using either the COD or ICSD database. Any directory of CIFs works as the candidate set -- including structures pulled from Materials Project -- via--cif_diror thephasesargument ofsearch_phases. - Runs DARA's
search_phasesto search mixtures of phases. - Saves plots and a human-readable report alongside the pattern.
Database Sources
DARA searches for structures in experimental databases. It supports:
- CODDatabase (default,
--database cod): Open-access. DARA will attempt to download CIFs fromcrystallography.net. If the website is offline or unreachable, DARA will automatically look for a local copy at~/COD_2024(or the path defined in~/.dara.yaml). - ICSDDatabase (
--database icsd): Commercial database. Requires a local copy, default path~/ICSD_2024(or configured in~/.dara.yaml). Online download is not supported for ICSD.
Requirements
-
Dependencies:
dara-xrd(and its Ray/BGMN stack). The pip distribution is nameddara-xrdbut the import module isdara:from dara import search_phasesCheck for the library itself (
python -c "import dara"), not for an environment name --import dara_xrdwill always fail. -
Conda environment:
xrd-agent(seeconda-envs/xrd-agent) is the environment this repo provisions, but it is one deployment option, not a requirement. Wheredara-xrdis already installed on the default interpreter, callsearch_phasesdirectly; thexrd-agentenv andscripts/phase_search.pyare conveniences. -
BGMN: DARA will prompt to download or use a local BGMN installation.
-
For clusters where only some nodes have internet:
- You can optionally use a two-step workflow (download CIFs on a node with internet, run Ray search elsewhere).
What ships with it
6 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.
- examples/GeO2-ZnO/GeO2-ZnO_700C_60min.xrdml 40 KB
- examples/GeO2-ZnO/phase_analysis_results/results_summary.json 613 B
- examples/GeO2-ZnO/phase_analysis_results/solution_0_refinement.png 60 KB
- examples/GeO2-ZnO/README.md 1.9 KB
- scripts/dara_utils.py 497 B runs code
- scripts/phase_search.py 10 KB runs code
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.
- today First seen · 158 lines · 22 tokens per session scan A fff42d158765
mat-xrd-phase-analysis is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,791 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.
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