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 kennethkhoocy/applied-micro-skills --skill stata-style-figuresgit clone --depth 1 https://github.com/kennethkhoocy/applied-micro-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/skills/kennethkhoocy/applied-micro-skills/stata-style-figures)<a href="https://agentmods.dev/skills/kennethkhoocy/applied-micro-skills/stata-style-figures"><img src="https://agentmods.dev/badge/skills/kennethkhoocy/applied-micro-skills/stata-style-figures/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/kennethkhoocy/applied-micro-skills/stata-style-figures"><img src="https://agentmods.dev/badge/skills/kennethkhoocy/applied-micro-skills/stata-style-figures.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 | $0.00130 | $0.00999 |
| Opus 5 | $0.00065 | $0.00500 |
| Sonnet 5 | $0.00026 | $0.00200 |
| Haiku 4.5 | $0.00013 | $0.00100 |
Grade A, and why
stata-style-figures 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 12d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stata-style (stcolor) matplotlib figures
House style for publication figures, extracted from validated generators. Paste the rcParams block, use the palette constants, follow the grid rule, and never let a restyle change data content.
rcParams — paste at the top of every figure script
plt.rcParams.update({
"font.family": "sans-serif",
"font.sans-serif": ["Arial", "Helvetica", "DejaVu Sans"],
"mathtext.fontset": "custom",
"mathtext.rm": "Arial", "mathtext.it": "Arial:italic", "mathtext.bf": "Arial:bold",
"pdf.fonttype": 42, "ps.fonttype": 42, # embed fonts as TrueType
"font.size": 9, "axes.linewidth": 0.6, "axes.edgecolor": "0.2",
"axes.spines.top": False, "axes.spines.right": False, "axes.axisbelow": True,
})
font.size 9 for single/1x2 panels; drop to 8.5 when panels are dense (many tick
labels). Figure width 6.5 in = \textwidth at 1-inch margins; include at
width=\textwidth so fonts render at stated size (no downscaling).
Palette
STC_BLUE = "#1f77b4" # protagonist series
STC_RED = "#d62728" # accent / contrast series
STC_GRAY = "0.62" # de-emphasised series
STC_BLUE_LIGHT = "#c1d9ec" # shaded bands / intervals (light step of the blue)
STC_GRID = "#e3e6e8" # gridlines
Baseline-vs-corrected comparisons: dashed gray baseline (color="0.50", ls="--")
vs solid blue corrected. Background/context shading: axvspan(..., color="0.93").
Per-axes styling
ax.grid(axis="y", color=STC_GRID, lw=0.6, zorder=0) # horizontal gridlines only
ax.tick_params(length=2.5, color="0.4")
ax.legend(frameon=False)
Grid rule: value-axis gridlines only. Vertical charts (time series, vertical bars)
get axis="y"; horizontal bar/dot charts get axis="x" instead. Never both.
White figure and axes background (matplotlib default — don't set facecolors),
no chart junk.
Output format — PNG by default
Save charts, figures, and visual diagrams as .png unless the task explicitly
asks for another format (a LaTeX manuscript pipeline that \includegraphics a
PDF, for instance, keeps PDF):
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 88 lines · 130 tokens per session scan A e179ebf53e0d
stata-style-figures is a skill published in the GitHub repository kennethkhoocy/applied-micro-skills (27 stars, last pushed 7d ago), licensed MIT. It adds 130 tokens to every session and 999 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
baoyu-comic
A tool for creating original educational comics that explain knowledge or ideas through multiple illustrated panels. It supports different art styles and tones and can create several comics in one batch.
baoyu-diagram
Create professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system…
baoyu-danger-gemini-web
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation"…
understand-figma
Analyze a Figma file via the Figma REST API and generate an interactive design knowledge graph (pages, screens, components, component sets, instances, design tokens) with a kind:"design" dashboard.
playwright-cli
Automates browser interactions for testing and validating your own web applications using playwright-cli. Use when you need terminal-first browser control for navigation, form filling, screenshots, tracing, bound browser sessions, debugging, or generating Playwright test code. Only use against applications you own or…
agent-wiki
Incremental LLM-friendly wiki generator for Obsidian note vaults. Use when: (1) Building wiki from notes, (2) Ingesting notes to wiki, (3) Obsidian LLM wiki, (4) Incremental knowledge base management. Triggers: 'build wiki from notes', 'ingest notes to wiki', 'Obsidian LLM wiki', 'incremental knowledge base'.