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/edwnh/dqmc/dqmc-devnpx skills add edwnh/dqmc --skill dqmc-devgit 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-dev)<a href="https://agentmods.dev/skills/edwnh/dqmc/dqmc-dev"><img src="https://agentmods.dev/badge/skills/edwnh/dqmc/dqmc-dev.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 | $0.00039 | $0.00522 |
| Opus 5 | $0.00019 | $0.00261 |
| Sonnet 5 | $0.00008 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade B, and why
dqmc-dev scanned grade B 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 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- [ ] `make` succeeds without warnings What it actually says
Code Development
Build & Test
# Build
make # -> build/dqmc
make clean # remove build/
# Test
cd test && make && ./test_greens
Smoke Test
After any code change:
dqmc-util gen Nx=4 Ny=4 U=4 dt=0.1 L=20 n_sweep_warm=50 n_sweep_meas=100
build/dqmc sim_0.h5
dqmc-util summary sim_0.h5
Adding New Measurements
-
Add to X-macro list in
src/rc/sim_types.h:// Add to MEAS_EQLT_LIST (or MEAS_UNEQLT_LIST for unequal-time) #define MEAS_EQLT_LIST \ /* ... */ \ X(my_meas, num_ij) // pick an appropriate size expression -
Implement measurement kernel in
src/rc/meas.c -
Add analysis function in
dqmc_util/analyze_hub.py(and update reshaping/symmetrization if needed):@observable( description="my new observable", requires=("meas_eqlt/n_sample", "meas_eqlt/sign", "meas_eqlt/my_meas"), ) def _my_meas(ctx): return core.jackknife_noniid( ctx.data["meas_eqlt/n_sample"], ctx.data["meas_eqlt/sign"], ctx.data["meas_eqlt/my_meas"], )
Key Code Patterns
Dual compilation: Files in src/rc/ compile twice. Use RC(name) macro for real/complex dispatch.
Memory: Use my_calloc() for 64-byte aligned allocations.
Profiling: Wrap with profile_begin(name) / profile_end(name).
Definition of Done
-
makesucceeds without warnings -
cd test && make && ./test_greenspasses - Smoke run completes
- If touching measurements: verify via
dqmc-util summary
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 · 68 lines · 39 tokens per session scan B 0a091eb61f3b
dqmc-dev is a skill published in the GitHub repository edwnh/dqmc (18 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 522 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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