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 XyrusCode/ai-sync --skill seaborn-visualizationgit clone --depth 1 https://github.com/XyrusCode/ai-syncWrote 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/xyruscode/ai-sync/seaborn-visualization)<a href="https://agentmods.dev/skills/xyruscode/ai-sync/seaborn-visualization"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/seaborn-visualization/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/xyruscode/ai-sync/seaborn-visualization"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/seaborn-visualization.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 | $0.00055 | $0.00982 |
| Opus 5.5 | $0.00022 | $0.00393 |
| Sonnet 5.5 | $0.00011 | $0.00196 |
| Haiku 4.5 | $0.00006 | $0.00098 |
Grade A, and why
seaborn-visualization 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 1mo 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seaborn Visualization
Use this skill for charting, plotting, graphing, visualization, seaborn, matplotlib, pandas, Chinese chart labels, visual reports, and data-viz code in Daimon's managed Python runtime.
Use pandas DataFrames for tabular data and seaborn for statistical charts. Use matplotlib only for the Agg backend, layout, fonts, and saving — never call plt.show(). The bundled CJK fonts (NotoSansSC) handle Chinese chart labels.
Daimon's managed Python execution passes a context dict to the entry function and expects JSON-serializable data back. From your code, import helpers:
from daimon_runtime import setup_plot, save_figure
Call setup_plot(ctx) before creating figures. It configures matplotlib Agg, the runtime cache, bundled CJK fonts, seaborn defaults, and negative sign rendering.
Call any sns.set_theme() or sns.set_style() customization before setup_plot(...), never after it: resetting the theme afterward can overwrite the managed CJK font configuration with Arial or another font that lacks Chinese glyphs.
Save figures and other outputs under ctx["runDir"]. save_figure leaves figures open by default; pass close=True (or call plt.close(fig)) after saving when a task creates many figures.
When the user requires an exact pixel size or aspect ratio, preserve the fixed canvas: use the requested figsize and dpi, lay out labels inside that canvas with constrained_layout or subplots_adjust, and do not pass bbox_inches="tight" because tight cropping changes the final dimensions. After saving, inspect the raster dimensions and visual edges before claiming the requested size or ratio. For charts without an exact size or ratio requirement, tight cropping remains acceptable.
Pick the right caller
There are two callers, distinguished by who is waiting:
- Interactive - the user asked for a chart now. Run the managed interpreter
yourself with the
Bashtool. Do not create an Automation for one-off requests. - Blueprint Automation - recurring or scheduled. Use an
Automationwithexecution.kind: "code"and anentryRefowned by the Automation.
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.
- 1mo ago First seen · 90 lines · 55 tokens per session scan A d1e634def508
seaborn-visualization is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 18d ago), licensed MIT. It adds 55 tokens to every session and 982 once invoked, about $0.0002 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 2026-09-04.
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