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 lucemia/investment-autoresearch --skill strategy-chartgit clone --depth 1 https://github.com/lucemia/investment-autoresearchWrote 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/lucemia/investment-autoresearch/strategy-chart)<a href="https://agentmods.dev/skills/lucemia/investment-autoresearch/strategy-chart"><img src="https://agentmods.dev/badge/skills/lucemia/investment-autoresearch/strategy-chart/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/lucemia/investment-autoresearch/strategy-chart"><img src="https://agentmods.dev/badge/skills/lucemia/investment-autoresearch/strategy-chart.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 | $0.00046 | $0.00543 |
| Opus 5 | $0.00023 | $0.00271 |
| Sonnet 5 | $0.00009 | $0.00109 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
investment-autoresearch:strategy-chart 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 11d 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
Strategy Chart
Generate matplotlib charts for backtesting strategy results. Chart is saved to /tmp/chart.png.
Step 1: Generate Chart
import matplotlib
matplotlib.use("Agg") # Non-interactive backend — required for headless environments
import matplotlib.pyplot as plt
# ... create figure ...
plt.savefig("/tmp/chart.png", dpi=150, bbox_inches="tight",
facecolor=fig.get_facecolor(), edgecolor="none")
plt.close()
Dark Theme Palette
colors = {
"bg": "#1a1a2e", "panel": "#16213e", "text": "#e0e0e0",
"grid": "#2a2a4a", "equity": "#00d4aa", "price": "#6c7b95",
"buy": "#00ff88", "sell": "#ff4466", "drawdown": "#ff6b6b",
"vix": "#ffa726",
}
fig.patch.set_facecolor(colors["bg"])
for ax in axes:
ax.set_facecolor(colors["panel"])
ax.tick_params(colors=colors["text"])
ax.spines["top"].set_visible(False)
ax.spines["right"].set_visible(False)
Strategy Chart Layout
3-panel layout for backtesting charts:
Panel 1 (3x height): Price + Equity curve + Buy/Sell markers + Stats box
Panel 2 (1.5x): Drawdown fill
Panel 3 (1x): VIX or volatility indicator with threshold lines
fig, axes = plt.subplots(3, 1, figsize=(16, 12),
gridspec_kw={"height_ratios": [3, 1.5, 1]})
Step 2: Save
The chart is saved to /tmp/chart.png. Copy it wherever needed:
cp /tmp/chart.png ~/charts/$(date +%Y-%m-%d)-strategy.png
Common Mistakes
| Mistake | Fix |
|---|---|
Forgetting matplotlib.use("Agg") |
Required for non-interactive (headless) chart generation |
| Not closing figure | Always plt.close() after savefig to free memory |
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.
- 11d ago First seen · 69 lines · 46 tokens per session scan A 7d724e1abb7c
investment-autoresearch:strategy-chart is a skill published in the GitHub repository lucemia/investment-autoresearch (4 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 543 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 2026-08-31.
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