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.
git clone --depth 1 https://github.com/hanhuark/mechanical-engineering-research-skillWrote 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/commands/hanhuark/mechanical-engineering-research-skill/me-code-sanity)<a href="https://agentmods.dev/commands/hanhuark/mechanical-engineering-research-skill/me-code-sanity"><img src="https://agentmods.dev/badge/commands/hanhuark/mechanical-engineering-research-skill/me-code-sanity/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/commands/hanhuark/mechanical-engineering-research-skill/me-code-sanity"><img src="https://agentmods.dev/badge/commands/hanhuark/mechanical-engineering-research-skill/me-code-sanity.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 | $0.00026 | $0.00254 |
| Opus 5.5 | $0.00010 | $0.00102 |
| Sonnet 5.5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
me-code-sanity 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.
What it actually says
Thermal-Fluid Code Sanity Review
Use mechanical-engineering-research for a fast preflight of code used for experiments, CFD post-processing, plotting, or AI/ML workflows. Escalate to me-code-review when architecture, refactoring, packaging, or release readiness is in scope.
Workflow:
- Identify the research question, input data, expected output, and baseline case.
- Check units, property sources, coordinate systems, time bases, sign conventions, and saved intermediate data.
- Check that raw data are preserved and processing stages are reproducible.
- Add sanity checks from conservation laws, correlations, analytical limits, known benchmark cases, or dimensional analysis.
- For AI/ML workflows, check train/validation/test separation across meaningful thermal-fluid conditions.
- Check that plots are traceable to data and that figure labels, uncertainty, and case metadata are publication-ready.
Expected output:
- code-risk findings ordered by severity
- missing physics or data checks
- reproducibility improvements
- lightweight tests or assertions
- plot and artifact traceability checklist
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 · 25 lines · 26 tokens per session scan A b35409ebcbc9
me-code-sanity is a command published in the GitHub repository hanhuark/mechanical-engineering-research-skill (23 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 254 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
research
Start or resume an academic research project — idea through literature, methodology, writing, feedback, and publishing.
openehr-explain
One-stop router that explains or looks up any openEHR thing — auto-detects an archetype, a template, an RM/AM/BASE type, an RM structural concept, an ADL idiom, an AQL query or keyword, or a terminology code (replaces /archetype-explain, /template-explain, /type-spec, /rm-structure, /adl-idiom, /terminology).
ml-run-review
Review a machine learning training run or experiment configuration for soundness, reproducibility, and evaluation rigor.
gpd:write-paper
Structure and write a physics paper from project research results or a bounded external-authoring intake.
gpd:derive-equation
Perform a rigorous physics derivation with systematic verification at each step.
gpd:limiting-cases
Systematically identify and verify all relevant limiting cases for a result or phase.