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 SFETNI/Deep-Matter-Chem-Skills --skill quantum-espressogit clone --depth 1 https://github.com/SFETNI/Deep-Matter-Chem-SkillsWrote 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/sfetni/deep-matter-chem-skills/quantum-espresso)<a href="https://agentmods.dev/skills/sfetni/deep-matter-chem-skills/quantum-espresso"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/quantum-espresso/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/sfetni/deep-matter-chem-skills/quantum-espresso"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/quantum-espresso.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 | $0.00004 | $0.08562 |
| Opus 5 | $0.00002 | $0.04281 |
| Sonnet 5 | $0.00001 | $0.01712 |
| Haiku 4.5 | $0.00000 | $0.00856 |
Grade A, and why
quantum-espresso scanned grade A with 1 finding 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 12d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run(["bands.x", "-in", "bands_pp.in"], check=True) How it starts
The opening of the file, as written. The whole thing — 550 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quantum ESPRESSO Workflow
Description
This skill covers end-to-end DFT calculations using Quantum ESPRESSO (QE), from input file construction and pseudopotential selection through SCF convergence, structural relaxation, band structure, and DOS workflows. QE is the dominant open-source plane-wave DFT code and the standard backend for many high-throughput databases, phonon codes (PHonon/DFPT), and ML potential pipelines. Invoke this skill when setting up or debugging a QE calculation, selecting pseudopotentials, parallelizing across HPC resources, or generating DFT reference data with an open-source code.
Domain Context
Quantum ESPRESSO solves the Kohn-Sham DFT equations using a plane-wave basis set on a regular real-space grid, with pseudopotentials or PAW datasets representing core electrons. The plane-wave expansion is controlled by ecutwfc (wavefunction cutoff, in Ry) and ecutrho (charge density cutoff, in Ry). Unlike VASP, QE uses open pseudopotential libraries (SSSP, PseudoDojo) rather than bundled PAW datasets, making pseudopotential choice an explicit user responsibility.
Key physical approximations and their consequences:
- Pseudopotential approximation: Core electrons are replaced by a smooth effective potential. The cutoff radius and the number of valence electrons depend on the pseudopotential. Harder (smaller cutoff radius) pseudopotentials require higher
ecutwfcbut are more transferable. Softer (larger cutoff radius) pseudopotentials are cheaper but may fail for highly compressed lattices or unusual oxidation states. - Ultrasoft vs. norm-conserving vs. PAW: Ultrasoft pseudopotentials (USPP) achieve low
ecutwfcat the cost of requiring a separately convergedecutrho(typically 8–12×ecutwfc). Norm-conserving (NC) pseudopotentials useecutrho = 4 × ecutwfcand are required for linear-response properties and many GW/TDDFT applications. PAW reconstructs all-electron wavefunctions and gives accuracy close to all-electron at moderate cost. - Periodic boundary conditions: QE assumes 3D periodicity. Molecules, surfaces, and wires in a box must be handled with sufficient vacuum and, for charged systems or polar slabs, Makov-Payne or Martyna-Tuckerman corrections.
- Density functional: The functional is selected via the pseudopotential — each PP is generated for a specific functional (PBE, PBEsol, LDA, etc.). Unlike VASP, the
input_dfttag in&SYSTEMcan override this, but should only be used with care and for compatible PP/functional pairs.
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.
- 12d ago First seen · 550 lines · 4 tokens per session scan A 20326cf47c98
quantum-espresso is a skill published in the GitHub repository SFETNI/Deep-Matter-Chem-Skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 4 tokens to every session and 8,562 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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