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 equinor/neqsim --skill paperlab_equation_dimensional_auditgit clone --depth 1 https://github.com/equinor/neqsimWrote 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/equinor/neqsim/paperlab_equation_dimensional_audit)<a href="https://agentmods.dev/skills/equinor/neqsim/paperlab_equation_dimensional_audit"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/paperlab_equation_dimensional_audit/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/equinor/neqsim/paperlab_equation_dimensional_audit"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/paperlab_equation_dimensional_audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00441 |
| Opus 5 | $0.00023 | $0.00220 |
| Sonnet 5 | $0.00009 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
paperlab_equation_dimensional_audit 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 6d 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
PaperLab Equation Dimensional Audit
When to Use
USE WHEN: reviewing equations, formula notation, unit consistency, or repeated technical correlations in an engineering textbook.
Pair with:
paperlab_scientific_traceability_auditfor equation provenance,neqsim_in_writingfor implementation links,paperlab_standards_clause_traceabilityfor standards-based formulas.
Audit Dimensions
| Dimension | Check |
|---|---|
| symbol | defined near first use or in nomenclature |
| unit | stated and dimensionally plausible |
| source | citation, standard, derivation, or implementation link |
| assumption | valid range or simplification stated |
| duplicate | repeated formula uses same notation or explains differences |
| implementation | NeqSim method/test link when used computationally |
Workflow
- Extract display equations delimited by
$$...$$and inline formulas using$...$when they contain engineering symbols. - Normalize symbols and compare against
nomenclature.yaml. - Check units and dimensions where possible.
- Detect conflicting definitions such as
qfor heat duty and volumetric flow in the same chapter without clarification. - Detect formula variants that need an assumptions note.
- Recommend nomenclature additions and local text fixes.
Output Pattern
## Equation Audit: <chapter>
- Status: ready | minor-revision | major-revision | blocked
- Undefined symbols:
- <symbol and equation context>
- Unit issues:
- <quantity and suspected issue>
- Formula variants:
- <formula family and recommended distinction>
- Recommended next edit: <one concrete action>
Safety Rules
- Do not declare an equation wrong from notation alone.
- Treat approximate teaching equations as acceptable when assumptions are clear.
- Never invent standards clauses or citations for equations.
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.
- 6d ago First seen · 63 lines · 47 tokens per session scan A 2bda80d4a096
paperlab_equation_dimensional_audit is a skill published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 441 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 2026-09-03.
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