matplotlib-charts

A procedure for creating charts as PNG image files with Matplotlib, a Python library for making graphs. It defines basic requirements for readable labels, sizing, and file output.

In plain words
What is it for?
Use it to make one chart per question, save charts as PNG files in the working directory, and report the generated filename.
Why use it?
It provides a consistent way to create charts in environments without a graphical display. It also prevents common output issues such as unreadable labels or missing files.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/jin-bo/agentao/matplotlib-charts
Any agent
npx skills add jin-bo/agentao --skill matplotlib-charts
Clone the repo
git clone --depth 1 https://github.com/jin-bo/agentao

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.00292
Opus 5 $0.00012 $0.00146
Sonnet 5 $0.00005 $0.00058
Haiku 4.5 $0.00002 $0.00029

Measured 3d ago against content hash 379c0f84b2ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

matplotlib-charts 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 3d 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.

examples/data-workbench/.agentao/skills/matplotlib-charts/SKILL.md · 45 lines

What it actually says

Matplotlib Charts

Format

  • One chart per question. No subplots unless the user asks.
  • figsize=(10, 6); keep labels readable.
  • Save as PNG with plt.savefig(path, dpi=120, bbox_inches="tight").
  • Do not call plt.show() — the environment is headless (MPLBACKEND=Agg).

Style

  • Default matplotlib style is fine; avoid exotic third-party themes.
  • Set a clear title, x/y labels, and rotate x ticks if labels overlap.

Return contract

After saving the chart, your FINAL assistant message must include exactly one line:

[CHART] chart-<slug>.png

The host UI parses this marker to render the image. Do not wrap it in code fences, backticks, or quotes.

Example

import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(10, 6))
ax.bar(products, revenues)
ax.set_title("Revenue by product")
ax.set_ylabel("Revenue ($)")
plt.savefig("chart-revenue.png", dpi=120, bbox_inches="tight")

Then end your reply with:

[CHART] chart-revenue.png

Changes

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.

  1. 3d ago First seen · 45 lines · 24 tokens per session scan A 379c0f84b2ec

Subscribe to this mod's changes

matplotlib-charts is a skill published in the GitHub repository jin-bo/agentao (95 stars, last pushed 3d ago), licensed MIT. It adds 24 tokens to every session and 292 once invoked, about $0.0001 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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