ledger

Log and analyze AI trading decisions with performance statistics and confidence calibration.

650|137|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/alsk1992/CloddsBot --skill ledger-alsk1992
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ledger
Source: https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/ledger
Command: npx skills add https://github.com/alsk1992/CloddsBot --skill ledger-alsk1992

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a clear audit trail of all trading decisions made by the AI, along with performance statistics, allowing for review and analysis.

Core Features & Use Cases

  • Decision Logging: Records every trading decision, including category, action, outcome, and reason.
  • Performance Statistics: Generates statistics on decision performance over various periods (24h, 7d, 30d, etc.).
  • Confidence Calibration: Analyzes the accuracy of AI's confidence levels in its decisions.
  • Use Case: A trader can use this Skill to review why a particular trade was made, check its profitability, and understand the AI's overall trading strategy effectiveness over the last month.

Quick Start

Show me the last 10 trading decisions.

Frequently Asked Questions about ledger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an audit trail for AI trading decisions?

To create an audit trail for AI trading decisions, you need a logging tool that records the category, action, outcome, and reason for each trade. This Skill logs those details automatically, enabling later review and performance analysis.

How do I check the performance statistics of my AI trading decisions?

To check performance statistics of AI trading decisions, generate reports over specific periods like 24h, 7d, or 30d. This Skill calculates those statistics from logged decision records to help you evaluate trading strategy effectiveness.

What is confidence calibration in AI trading decision analysis?

Confidence calibration in AI trading decision analysis measures the accuracy of the AI's confidence levels against actual outcomes. This Skill analyzes logged records to determine if high-confidence trades actually resulted in profitable outcomes.

Can I filter trading decision logs by category and outcome?

Yes, you can filter trading decision logs by category and outcome. This Skill supports filtering decision records by these parameters, allowing you to isolate specific types of trades or outcomes for targeted review and analysis.

Do I need a database to log and analyze AI trading decisions?

Yes, you need a database to log and analyze AI trading decisions. This Skill requires a database for the storage and retrieval of decision records to maintain a persistent audit trail and calculate accurate performance statistics.