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 letitbk/claude-academic-setup --skill vizgit clone --depth 1 https://github.com/letitbk/claude-academic-setupWrote 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/letitbk/claude-academic-setup/viz)<a href="https://agentmods.dev/skills/letitbk/claude-academic-setup/viz"><img src="https://agentmods.dev/badge/skills/letitbk/claude-academic-setup/viz/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/letitbk/claude-academic-setup/viz"><img src="https://agentmods.dev/badge/skills/letitbk/claude-academic-setup/viz.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 | $0.00044 | $0.01645 |
| Opus 5 | $0.00022 | $0.00822 |
| Sonnet 5 | $0.00009 | $0.00329 |
| Haiku 4.5 | $0.00004 | $0.00164 |
Grade A, and why
viz 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 9d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Visualization
Create publication-ready figures using ggplot2 in R. Validate data and gather all visual requirements before generating the first plot.
When to Use
- Creating any chart, figure, or plot
- Refining an existing visualization (spacing, labels, colors, layout)
- User says "plot", "graph", "visualize", "figure", "chart"
When NOT to Use
- Quick exploratory
plot()orhist()for debugging (just do it) - User explicitly asks for base R graphics
Core Rule
Ask about ALL visual elements upfront before generating the first plot. Do not produce a draft and iterate one tweak at a time.
Workflow
Step 1: Validate Data
Before any plotting code, confirm:
- Read the data and print column names, types, and 3-5 sample rows
- Confirm column mappings with the user: which columns map to x, y, color, facet, etc.
- Check for issues: NAs in plot variables, unexpected factor levels, wrong types
Do NOT guess column mappings silently. If ambiguous, ask.
Step 2: Gather Visual Requirements
Ask about ALL of these before the first plot:
| Element | Ask about | Default if not specified |
|---|---|---|
| Chart type | bar, coef/forest, line, network, other | Infer from data structure |
| Layout | single panel, faceted, multi-panel | Single panel |
| Axes | labels, limits, breaks, log scale | Auto with clear labels |
| Colors | palette, specific mappings | Colorblind-safe, clean |
| Error bars | SE, 95% CI, none | 95% CI when applicable |
| Legend | position, title, label text | Right side, auto title |
| Separators | lines between groups | None unless grouped |
| Text | title, subtitle, caption, annotations | Minimal |
| Dimensions | width x height in inches | 7 x 5 |
Step 3: Build the Plot
Language: R with ggplot2. Always.
Theme baseline:
theme_minimal(base_size = 12) +
theme(
panel.grid.minor = element_blank(),
strip.text = element_text(face = "bold"),
legend.position = "bottom"
)
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.
- 9d ago First seen · 169 lines · 44 tokens per session scan A 586c845f8228
viz is a skill published in the GitHub repository letitbk/claude-academic-setup (43 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 1,645 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 2026-08-30.
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