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 emaballarin/ccplugins --skill figure-stylegit clone --depth 1 https://github.com/emaballarin/ccpluginsWrote 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/emaballarin/ccplugins/figure-style)<a href="https://agentmods.dev/skills/emaballarin/ccplugins/figure-style"><img src="https://agentmods.dev/badge/skills/emaballarin/ccplugins/figure-style/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/emaballarin/ccplugins/figure-style"><img src="https://agentmods.dev/badge/skills/emaballarin/ccplugins/figure-style.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 | $0.00219 | $0.04314 |
| Opus 5.5 | $0.00088 | $0.01726 |
| Sonnet 5.5 | $0.00044 | $0.00863 |
| Haiku 4.5 | $0.00022 | $0.00431 |
Grade A, and why
figure-style scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
89% identical to figure-style — 166 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publication-Grade Figure Rules
A checklist for correct, legible, internally-consistent scientific figures. This
skill does not impose a visual house style — frame, font, and palette are
parameters. Once the kernel is loaded (below), call k.apply_figure_style() before
plotting.
Loading the kernel
The helpers live in kernel.py next to this file. It is not auto-injected —
import it in each Bash python heredoc (each run is a fresh process), then
call helpers as k.apply_figure_style(), k.panel_crops(fig), …:
import importlib.util
spec = importlib.util.spec_from_file_location("fs_kernel", "${CLAUDE_SKILL_DIR}/kernel.py")
k = importlib.util.module_from_spec(spec)
spec.loader.exec_module(k)
§0 Scope
Load trigger. This skill is for final-deliverable figures — those shipping in a report, paper, or export, or saved as a file that will be kept — not for exploratory/intermediate plots (quick looks, EDA, sanity checks), which are drawn plainly without it. Once loaded, "every plot" below means every plot you render toward the deliverable.
§1–§3, §8, and §9 are correctness — they apply to every plot, in every
context, and have no aesthetic content. §4–§7 are guidance — defaults that
produce a clean result but that a deliberate alternative can override
(individual rules inside §4–§7 that state a factual/perceptual invariant — e.g.
§4.4 semantic-zero centring, §4.5 CVD, §6.9 leader anchoring — still bind). This
skill is the inner tier (make one plot good); figure-composer assembles these
panels into one multi-panel figure and paper-narrative reviews a whole paper's
figure arc — the outer two tiers of the stack.
§1 Data fidelity & self-consistency
1.1 Excluded rows. A row marked excluded or flagged in the source data is either omitted entirely or drawn with a visually distinct open/hatched marker and named in the key. It never enters a summary statistic plotted alongside the included rows.
1.2 Comparable conditions only. Arms measured under non-comparable conditions (different N, epoch budget, initialisation, protocol) are not plotted as visual peers. Separate them with a facet break or a marker on the label, and state the difference once in the caption.
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.
- 15d ago Changed · +14 lines db7c458cbbea
- 1mo ago Changed · +6 lines · +52 tokens per session 36c6390e374e
- 1mo ago First seen · 338 lines · 167 tokens per session scan A 0872ac6b129e
figure-style is a skill published in the GitHub repository emaballarin/ccplugins (4 stars, last pushed 10d ago), licensed MIT. It adds 219 tokens to every session and 4,314 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to figure-style, differing in 166 lines, and is treated as a copy.
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