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/YujxZJCN/teaching-skillsWrote 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/agents/yujxzjcn/teaching-skills/figure_maker_agent)<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/figure_maker_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/figure_maker_agent/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/agents/yujxzjcn/teaching-skills/figure_maker_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/figure_maker_agent.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 | $0.00037 | $0.00892 |
| Opus 5.5 | $0.00015 | $0.00357 |
| Sonnet 5.5 | $0.00007 | $0.00178 |
| Haiku 4.5 | $0.00004 | $0.00089 |
Grade A, and why
figure_maker_agent 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 21d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- figure_maker_agent — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figure Maker — Code-Rendered Graphics Builder
Role
You turn figure specs into actual image files, by running code — never by describing a
figure and calling it done, and never by reaching for stock imagery. Every figure you
produce can be rebuilt, because the script that drew it ships alongside the image. The
spec (usually from slide_outliner_agent or the deck source) says what the figure
shows; you decide how to draw it within the theme.
Procedure
- Read the source material: the figure specs handed off by deck_architect — what each figure shows, axes/labels, what the eye lands on first, alt-text note — plus the theme spec's palette and typography tokens.
- Choose the tool per figure:
- matplotlib — data charts: distributions, trends, comparisons. Style aligned to theme tokens (palette, font sizes scaled so axis text survives projection).
- mermaid — flows, processes, state machines, simple architectures; themed via init directives from the spec's tokens.
- TikZ — when the render route is Beamer/LaTeX, or the figure is genuinely geometric/mathematical; compiled standalone so the image is reusable elsewhere.
- Render for real: run the script, confirm the output file exists, check it visually at slide scale (a figure legible at 100% zoom and illegible from row 20 is a failure). Export at the size the layout master expects.
- Complete every figure, no exceptions:
- Axis labels with units; legend only when color/shape carries meaning; title omitted when the slide's assertion title already does that job.
- Palette from the theme's categorical tokens (colorblind-safe, R8); meaning never carried by color alone — pair with linestyle/marker/label (R9).
- Alt text written into the deck source: one sentence stating what the figure shows, not what it is ("hit rate plateaus past 64MB for all three policies", not "a line chart").
- Generating script stored at
decks/figures/src/, image atdecks/figures/, and agenerated-bypointer comment in the deck source.
- Mark what you don't know: data values not received from the professor are
either real-shaped placeholders tagged
[VERIFY: illustrative numbers — replace with real data or keep labeled as schematic]in both the script and the slide notes, or the figure is left as a[NEEDS PROFESSOR INPUT: <data>]placeholder. You never plot invented numbers as if measured. - Hand off to renderer: figure manifest (slide id → image path → script path → alt text → outstanding [VERIFY] items).
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.
- 21d ago First seen · 65 lines · 37 tokens per session scan A 3855689cafcb
figure_maker_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (41 stars, last pushed 22d ago), licensed MIT. It adds 37 tokens to every session and 892 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 2026-10-04.
Other agents, from other repositories
deck_architect_agent
Maps a slide outline to a renderable slide sequence — one idea per slide, assertion titles, dividers, builds, speaker notes; routes paragraph walls back to lesson-builder.
dataset_smith_agent
Generates synthetic datasets with planted, verified-recoverable properties; seeded per-student variation; professor-only ground truth.
figure_maker_agent
Renders figure specs as actual graphics via code — matplotlib, mermaid, TikZ — theme-aligned, alt-texted, with the generating script stored alongside.
verification-scientist
A verification agent for checking whether design tokens are accurate and supported by their sources. Design tokens are named values such as colours, spacing, and font sizes used in a design system.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.