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 technical_figure_understandinggit 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/technical_figure_understanding)<a href="https://agentmods.dev/skills/equinor/neqsim/technical_figure_understanding"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/technical_figure_understanding/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/technical_figure_understanding"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/technical_figure_understanding.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 | $0.00000 | $0.01225 |
| Opus 5 | $0.00000 | $0.00613 |
| Sonnet 5 | $0.00000 | $0.00245 |
| Haiku 4.5 | $0.00000 | $0.00122 |
Grade A, and why
technical_figure_understanding 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Technical Figure Understanding
Purpose
Read engineering figures deeply enough that a book, paper, or report can explain
what the figure shows and why it matters. This skill complements
figure-discussion: this skill extracts and classifies visual evidence;
figure-discussion turns that evidence into observation, mechanism,
implication, and recommendation prose.
Use this skill for lecture slides, notebook plots, process diagrams, flow maps, equipment sketches, case-study layouts, decision matrices, and source-document figures that need to be placed into textbook or engineering-report context.
Inputs
For every figure, gather as many of these inputs as available:
| Input | Examples |
|---|---|
| Image file | figures/ch04_s06_ipr_vlp.png |
| Existing caption or alt text | Markdown image alt text, results.json.figure_captions |
| Source metadata | lecture folder, PPTX slide, PDF page, notebook path, generated script |
| Surrounding text | preceding and following chapter paragraphs |
| Chapter plan | chapter_outlines.yaml, learning objectives, section heading |
| Computed data | notebook outputs, results.json, CSV tables |
Figure Classes
Classify the figure before writing about it:
| Class | What to extract |
|---|---|
| Plot | axes, units, scales, legend, trends, extrema, intersections, thresholds |
| Flow map | axes, operating points, regime boundaries, transition risks |
| Process diagram | unit operations, stream directions, recycle loops, control signals |
| Layout/map | distance, route, host/tieback relationships, bottlenecks |
| Decision matrix | options, criteria, dominant trade-off, ranking |
| Equipment sketch | internals, dimensions, physical function, design constraint |
| Table screenshot | row/column headers, numeric values, units, caveats |
| Cover/decorative art | topic signalling only; usually exempt from discussion gate |
| Photo/corporate image | provenance and rights check before inclusion |
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 · 130 lines · 0 tokens per session scan A dbf4393745b6
technical_figure_understanding is a skill published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,225 tokens. 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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