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 agentmods add skills/marketcalls/openalgo-claude-plugin/visualizationnpx skills add marketcalls/openalgo-claude-plugin --skill visualizationgit clone --depth 1 https://github.com/marketcalls/openalgo-claude-pluginWrote 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/marketcalls/openalgo-claude-plugin/visualization)<a href="https://agentmods.dev/skills/marketcalls/openalgo-claude-plugin/visualization"><img src="https://agentmods.dev/badge/skills/marketcalls/openalgo-claude-plugin/visualization.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.03274 |
| Opus 5 | $0.00014 | $0.01637 |
| Sonnet 5 | $0.00006 | $0.00655 |
| Haiku 4.5 | $0.00003 | $0.00327 |
Grade A, and why
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 5d 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 — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAlgo Visualization
Create trading charts, dashboards, and visualizations using OpenAlgo data. Build interactive Streamlit dashboards for real-time monitoring.
Environment Setup
from openalgo import api
import pandas as pd
import plotly.graph_objects as go
client = api(
api_key='your_api_key_here',
host='http://127.0.0.1:5000'
)
Quick Start Scripts
Candlestick Chart
python scripts/candlestick.py --symbol SBIN --exchange NSE --interval 5m --days 5
Options Payoff Diagram
python scripts/payoff.py --strategy "iron_condor" --underlying NIFTY --expiry 30JAN25
P&L Dashboard
streamlit run scripts/pnl_dashboard.py
Candlestick Charts
Basic Candlestick with Plotly
from openalgo import api
import plotly.graph_objects as go
client = api(api_key='your_key', host='http://127.0.0.1:5000')
# Fetch historical data
df = client.history(
symbol="SBIN",
exchange="NSE",
interval="5m",
start_date="2025-01-01",
end_date="2025-01-10"
)
# Create candlestick chart
fig = go.Figure(data=[go.Candlestick(
x=df.index,
open=df['open'],
high=df['high'],
low=df['low'],
close=df['close'],
name='SBIN'
)])
fig.update_layout(
title='SBIN 5-Minute Chart',
yaxis_title='Price',
xaxis_title='Time',
xaxis_rangeslider_visible=False
)
fig.show()
Candlestick with Volume
from plotly.subplots import make_subplots
fig = make_subplots(rows=2, cols=1, shared_xaxes=True,
vertical_spacing=0.03,
row_heights=[0.7, 0.3])
# Candlestick
fig.add_trace(go.Candlestick(
x=df.index,
open=df['open'],
high=df['high'],
low=df['low'],
close=df['close'],
name='Price'
), row=1, col=1)
# Volume bars
colors = ['green' if c >= o else 'red' for c, o in zip(df['close'], df['open'])]
fig.add_trace(go.Bar(
x=df.index,
y=df['volume'],
marker_color=colors,
name='Volume'
), row=2, col=1)
fig.update_layout(
title='SBIN Chart with Volume',
xaxis_rangeslider_visible=False
)
fig.show()
What ships with it
3 files 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.
- 5d ago First seen · 459 lines · 28 tokens per session scan A f4b07ca5f683
visualization is a skill published in the GitHub repository marketcalls/openalgo-claude-plugin (3 stars, last pushed 8mo ago), licensed MIT. It adds 28 tokens to every session and 3,274 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 2026-08-31.
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