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 jin-bo/agentao --skill matplotlib-chartsgit clone --depth 1 https://github.com/jin-bo/agentaoWrote 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/jin-bo/agentao/matplotlib-charts)<a href="https://agentmods.dev/skills/jin-bo/agentao/matplotlib-charts"><img src="https://agentmods.dev/badge/skills/jin-bo/agentao/matplotlib-charts/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/jin-bo/agentao/matplotlib-charts"><img src="https://agentmods.dev/badge/skills/jin-bo/agentao/matplotlib-charts.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 | $0.00024 | $0.00292 |
| Opus 5.5 | $0.00010 | $0.00117 |
| Sonnet 5.5 | $0.00005 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
matplotlib-charts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Matplotlib Charts
Format
- One chart per question. No subplots unless the user asks.
figsize=(10, 6); keep labels readable.- Save as PNG with
plt.savefig(path, dpi=120, bbox_inches="tight"). - Do not call
plt.show()— the environment is headless (MPLBACKEND=Agg).
Style
- Default matplotlib style is fine; avoid exotic third-party themes.
- Set a clear title, x/y labels, and rotate x ticks if labels overlap.
Return contract
After saving the chart, your FINAL assistant message must include exactly one line:
[CHART] chart-<slug>.png
The host UI parses this marker to render the image. Do not wrap it in code fences, backticks, or quotes.
Example
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(10, 6))
ax.bar(products, revenues)
ax.set_title("Revenue by product")
ax.set_ylabel("Revenue ($)")
plt.savefig("chart-revenue.png", dpi=120, bbox_inches="tight")
Then end your reply with:
[CHART] chart-revenue.png
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 · 45 lines · 24 tokens per session scan A 379c0f84b2ec
matplotlib-charts is a skill published in the GitHub repository jin-bo/agentao (308 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 292 once invoked, about $0.0001 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 2026-08-30.
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