visualization

visualization is a skill for Claude Code from marketcalls/openalgo-claude-plugin. It costs 28 tokens per session (3,274 once invoked), scanned A, original, MIT.

A set of examples for turning OpenAlgo market data into charts and Streamlit dashboards. OpenAlgo is a trading-data service, while Streamlit is a Python tool for building interactive web pages.

In plain words
What is it for?
Use it to create candlestick charts, options payoff diagrams, profit-and-loss dashboards, and real-time Streamlit monitoring views.
Why use it?
It saves you from building common trading visualizations from scratch and shows how to display data for monitoring.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the openalgo-python plugin — 6 skills shipped together

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/marketcalls/openalgo-claude-plugin/visualization
Any agent
npx skills add marketcalls/openalgo-claude-plugin --skill visualization
Clone the repo
git clone --depth 1 https://github.com/marketcalls/openalgo-claude-plugin

Made for: Claude Code.

Or install openalgo-python, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for visualization

README.md
[![agentmods](https://agentmods.dev/badge/skills/marketcalls/openalgo-claude-plugin/visualization.svg)](https://agentmods.dev/skills/marketcalls/openalgo-claude-plugin/visualization)
Your own site
<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>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,274 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 5.1 $0.00028 $0.03274
Opus 5 $0.00014 $0.01637
Sonnet 5 $0.00006 $0.00655
Haiku 4.5 $0.00003 $0.00327

Measured 5d ago against content hash f4b07ca5f683, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/candlestick.py, scripts/payoff.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/openalgo-python/skills/visualization/SKILL.md · 459 lines

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()

Read the full file on GitHub · 459 lines

Files

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.

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. 5d ago First seen · 459 lines · 28 tokens per session scan A f4b07ca5f683

Subscribe to this mod's changes

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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