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collierking

ChartClass

by Collier King · GitHub ↗ · v0.0.2
cross-platform ✓ Security Clean
551
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2
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Install in OpenClaw
/install chartclass
Description
Technical analysis and chart pattern recognition for equities, options, and crypto markets
README (SKILL.md)

ChartClass

Technical analysis and chart pattern recognition for financial markets.

What it does

ChartClass provides AI-powered technical analysis capabilities for equities, options, and crypto, including:

  • Pattern recognition — identify head-and-shoulders, double tops/bottoms, flags, wedges, cups, and other chart formations
  • Indicator analysis — moving averages, RSI, MACD, Bollinger Bands, volume profile, and custom indicator combinations
  • Support/resistance — automatically detect key price levels from historical price action
  • Trend analysis — classify current trend direction, strength, and potential reversal signals
  • Multi-timeframe — analyze daily, weekly, and intraday charts with timeframe confluence detection

Usage

Ask your agent to analyze charts and technical setups:

  • "Analyze the daily chart for TSLA and identify the current pattern"
  • "What are the key support and resistance levels for SPY?"
  • "Screen for stocks forming bullish flag patterns above their 200-day MA"
  • "Show RSI divergences on the NVDA 4-hour chart"

Configuration

Set the following environment variables for market data access:

  • CHARTCLASS_API_KEY — API key for ChartClass. Used to authenticate requests for OHLCV price data, technical indicator values, and pattern scan results.
  • CHARTCLASS_DEFAULT_TIMEFRAME — (optional) default chart timeframe, one of: 1m, 5m, 15m, 1h, 4h, daily, weekly. Defaults to daily.
Usage Guidance
This skill appears coherent for a chart-analysis API client and only asks for a single API key. Before installing or providing CHARTCLASS_API_KEY, confirm the provider (homepage or repo) and review their privacy/security policy. If you must test it: (1) use a limited-scope or low-privilege API key, (2) avoid using keys tied to billing-sensitive or high-permission accounts, and (3) check where the agent will send data (the SKILL.md gives no hostname/endpoints). Also be aware that the optional CHARTCLASS_DEFAULT_TIMEFRAME env var is mentioned in the docs but not declared in the registry; that mismatch is likely harmless but worth noting.
Capability Analysis
Type: OpenClaw Skill Name: chartclass Version: 0.0.2 The skill bundle contains only metadata and documentation. The `SKILL.md` describes a legitimate financial analysis tool, detailing its features and configuration requirements, including an API key for market data access. There are no signs of prompt injection against the agent, data exfiltration, malicious execution, or any other harmful behavior. All content aligns with the stated purpose of a benign financial charting skill.
Capability Assessment
Purpose & Capability
Name/description (technical chart analysis) align with the declared requirement: a single API key (CHARTCLASS_API_KEY) used to authenticate requests for OHLCV, indicators, and pattern scans. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
SKILL.md is instruction-only and simply describes using ChartClass APIs for pattern recognition and indicator data; it does not instruct reading local files or unrelated system state. Note: the doc mentions an optional CHARTCLASS_DEFAULT_TIMEFRAME env var but that optional var is not declared in the registry requires.env list.
Install Mechanism
No install spec and no code files (instruction-only). This minimizes on-disk execution risk because nothing is written or fetched by an installer as part of skill setup.
Credentials
Only one required credential (CHARTCLASS_API_KEY) is declared, which is proportionate to an API-based charting service. However the skill offers no homepage or source repo and provides no details about the API endpoints or the provider, which increases the risk associated with giving an API key to an unknown service. Also the SKILL.md references an optional CHARTCLASS_DEFAULT_TIMEFRAME env var that isn't declared.
Persistence & Privilege
always is false and the skill is user-invocable (normal). The skill does not request persistent system-wide privileges or access to other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install chartclass
  3. After installation, invoke the skill by name or use /chartclass
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.2
- Updated to version 0.0.2. - Added explicit environment variable requirements and documentation for `CHARTCLASS_API_KEY` in the metadata. - Improved configuration instructions, clarifying the use of `CHARTCLASS_API_KEY` and accepted values for `CHARTCLASS_DEFAULT_TIMEFRAME`.
v0.0.1
Initial release of ChartClass—AI-powered technical analysis and chart pattern recognition for financial markets. - Detects classic chart patterns (head-and-shoulders, double tops/bottoms, flags, etc.) - Analyzes common indicators (moving averages, RSI, MACD, Bollinger Bands, and more) - Identifies support/resistance levels and trend signals across timeframes - Supports analysis for equities, options, and crypto - Allows customizable usage with API key and default timeframe settings
Metadata
Slug chartclass
Version 0.0.2
License
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is ChartClass?

Technical analysis and chart pattern recognition for equities, options, and crypto markets. It is an AI Agent Skill for Claude Code / OpenClaw, with 551 downloads so far.

How do I install ChartClass?

Run "/install chartclass" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is ChartClass free?

Yes, ChartClass is completely free (open-source). You can download, install and use it at no cost.

Which platforms does ChartClass support?

ChartClass is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created ChartClass?

It is built and maintained by Collier King (@collierking); the current version is v0.0.2.

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