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-analyze/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-analyze)<a href="https://agentmods.dev/skills/edwnh/dqmc/dqmc-analyze"><img src="https://agentmods.dev/badge/skills/edwnh/dqmc/dqmc-analyze/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-analyze"><img src="https://agentmods.dev/badge/skills/edwnh/dqmc/dqmc-analyze.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 | $0.00041 | $0.00703 |
| Opus 5 | $0.00020 | $0.00351 |
| Sonnet 5 | $0.00008 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
dqmc-analyze 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Results
Inputs
- Directory containing
bin_*.h5files (completed simulations) - Observable names (see table below)
Outputs
- Dictionary with parameters and
(mean, stderr)tuples for each observable
Procedure
Basic analysis:
from dqmc_util import analyze_hub
data = analyze_hub.get("data/run/", "sign", "den", "zzr")
print(f"sign = {data['sign'][0]:.4f} +/- {data['sign'][1]:.4f}")
print(f"density = {data['den'][0]:.4f} +/- {data['den'][1]:.4f}")
Available observables:
| Name | Description | Requires |
|---|---|---|
sign |
Fermion sign | - |
den |
Density | - |
docc |
Double occupancy <n_up n_down> | - |
gr, gk |
Green's function (real/k-space) | - |
nnr, nnq |
Density correlator / structure factor | - |
zzr, zzq |
Spin-z correlator / structure factor | - |
xxr |
Spin-x correlator | - |
swq0 |
S-wave pair structure factor | - |
nnrw0, zzrw0 |
Zero-freq susceptibilities | period_uneqlt > 0 |
dwq0t |
D-wave pair susceptibility | period_uneqlt > 0 |
Collect from multiple directories:
import os
def collect_results(base_dir, observables):
results = []
for subdir in sorted(os.listdir(base_dir)):
path = os.path.join(base_dir, subdir)
if os.path.isdir(path):
try:
results.append(analyze_hub.get(path + "/", *observables))
except Exception as e:
print(f"Skipping {path}: {e}")
return results
Compute derived quantities:
# Magnetic moment squared from spin correlator
path = "data/run/"
data = analyze_hub.get(path, "zzr")
mz2 = 4 * data["zzr"][0][0, 0] # [0] = mean, shape (Ny, Nx)
mz2_err = 4 * data["zzr"][1][0, 0] # [1] = stderr
Validation
- Errorbar on sign is significantly less than mean. Otherwise, sign problem is too severe.
- Errorbars on observable are reasonable (not >> mean)
Failure Modes
| Symptom | Cause | Recovery |
|---|---|---|
| KeyError for observable | Observable not computed | Check period_uneqlt setting |
| "No files found" | Wrong path or no bin_*.h5 |
Verify directory structure |
| Large error bars | Insufficient statistics | Run more sweeps or bins |
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.
- 9d ago First seen · 81 lines · 41 tokens per session scan A 42f232bde815
dqmc-analyze is a skill published in the GitHub repository edwnh/dqmc (18 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 703 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 2026-09-01.
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