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Prediction Monitor

Listed
jeremylongshore·vlatest·data·MIT

Continuously forecasts future states based on observed trends, alerting users to deviations from predicted outcomes.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill prediction-monitor -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

The prediction-monitor skill allows an AI agent to track and report on the accuracy of predictions over time. It can monitor prediction performance against actual outcomes, providing insights into model drift or unexpected changes in data patterns. This enables proactive adjustments to improve predictive models and maintain reliability.

When to use it

  • Monitoring financial forecasts: Track the accuracy of sales projections or stock market predictions.
  • Evaluating fraud detection systems: Assess how well a fraud detection system identifies fraudulent transactions over time.
  • Analyzing website traffic predictions: Compare predicted website visits with actual visitor counts to optimize resource allocation.
  • Tracking weather forecasting accuracy: Monitor the precision of temperature or precipitation forecasts in a specific region.

Key capabilities

  • Tracks prediction accuracy against ground truth data.
  • Reports on performance metrics over time.
  • Identifies potential model drift.

Example prompts

  • "Monitor the accuracy of our sales forecast for Q3 and alert me if it deviates more than 5% from actual revenue."
  • "Track the precision of our fraud detection system weekly, highlighting any significant drops in performance."
  • “Report on the average error rate of our website traffic predictions over the last month.”

Tips & gotchas

The skill requires access to both prediction data and corresponding ground truth (actual) values. Ensure these datasets are properly formatted and accessible for accurate monitoring.