Borrowing it
Nothing to install: this file belongs to edwnh/dqmc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/edwnh/dqmc/master/.claude/skills/dqmc-generate/SKILL.mdgit clone --depth 1 https://github.com/edwnh/dqmcWrote 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/edwnh/dqmc/dqmc-generate)<a href="https://agentmods.dev/skills/edwnh/dqmc/dqmc-generate"><img src="https://agentmods.dev/badge/skills/edwnh/dqmc/dqmc-generate/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/edwnh/dqmc/dqmc-generate"><img src="https://agentmods.dev/badge/skills/edwnh/dqmc/dqmc-generate.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 | $0.00054 | $0.00750 |
| Opus 5.5 | $0.00022 | $0.00300 |
| Sonnet 5.5 | $0.00011 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
dqmc-generate 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Simulation Files
Inputs
| Input | Required | Default | Description |
|---|---|---|---|
Nx, Ny |
No | 8 | Lattice dimensions |
U |
No | 6.0 | On-site interaction strength |
mu |
No | 0.0 | Chemical potential |
tp |
No | 0.0 | Next-nearest neighbor hopping |
dt |
No | 0.1 | Imaginary time step |
L |
No | 40 | Number of time slices (beta = L*dt) |
n_sweep_warm |
No | 200 | Warmup sweeps |
n_sweep_meas |
No | 2000 | Measurement sweeps |
Nfiles |
No | 1 | Number of independent bins |
prefix |
No | sim |
Output path prefix |
period_uneqlt |
No | 0 | Unequal-time period (0=disabled) |
Outputs
{prefix}_0.h5,{prefix}_1.h5, ... - HDF5 simulation files{prefix}.h5.params- common params HDF5 file
Procedure
Option A: CLI (simple cases)
dqmc-util gen Nx=6 Ny=6 U=4.0 mu=0.0 dt=0.1 L=50 Nfiles=4 prefix=data/run/bin
Option B: Python (parameter scans)
from dqmc_util import gen_1band_hub
gen_1band_hub.create_batch(
prefix="data/run/bin", Nfiles=4,
Nx=6, Ny=6, U=4.0, mu=0.0, tp=0.0, dt=0.1, L=50
)
Choosing dt and L for a target temperature T:
import numpy as np
T = 0.25 # target temperature
U = 4.0
beta = 1.0 / T
dt = min((0.05/U)**0.5, beta / 10) # Trotter error constraint
L = int(np.ceil(beta / dt / 5) * 5) # L must be divisible by n_matmul and period_eqlt (defaults: 5)
dt = beta / L # recalculate exact dt
Validation
- Files created:
ls {prefix}_*.h5 {prefix}.h5.params - Trotter error check:
U * dt^2 <= 0.05
Failure Modes
| Symptom | Cause | Recovery |
|---|---|---|
| "File exists" error | Previous files not cleaned | Remove old files or use overwrite=1 argument |
| ValueError: L must be divisible ... | L must be multiple of n_matmul and period_eqlt | Adjust value of L and dt, keeping their product (beta) constant |
Do Not
- Overwrite existing simulation files without confirmation
- Ignore the Trotter error bound (
U * dt^2 <= 0.05)
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.
- 2mo ago First seen · 73 lines · 54 tokens per session scan A 1783bb86fd95
dqmc-generate is a skill published in the GitHub repository edwnh/dqmc (19 stars, last pushed 7mo ago), licensed MIT. It adds 54 tokens to every session and 750 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-01.
dqmc-generate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dqmc-generateedwnh/dqmc | Skill | 19 | 7mo ago | MIT | A | 54 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |