Analyze Cursor chat exports for rule violations and redundant tool calls.
npx skills add https://github.com/EdgeApp/edge-dev-agents --skill chat-audit
Please help me install this Agent Skill. Skill: chat-audit Source: https://github.com/EdgeApp/edge-dev-agents/tree/main/.cursor/skills/chat-audit Command: npx skills add https://github.com/EdgeApp/edge-dev-agents --skill chat-audit
This Skill identifies inefficiencies, rule violations, and wasted tool calls in Cursor chat sessions, helping developers refine their agent-assisted workflows.
Run the chat-audit skill by providing the path to your exported chat JSON file to receive a detailed efficiency report.
High-intent search queries and answers about installing and using this skill.
You can audit Cursor chat workflows by analyzing exported conversation logs to detect redundant tool calls, rule violations, and workflow inefficiencies. This process generates actionable feedback to help refine your agent-assisted development command definitions.
The best way to analyze agent chat exports for rule violations is to process conversation sequences against defined command standards. This flags deviations from prescribed steps and highlights avoidable errors in your agent-assisted development sessions.
Yes, you need Node.js to execute the extraction script and process the conversation sequence. The script handles data extraction from your chat JSON files to prepare them for the workflow efficiency analysis.
To find out why your Cursor agent makes unnecessary context consumption errors, run an efficiency audit on your exported chat data. This flags avoidable errors and redundant file reads, helping you update command definitions for better performance.
Yes, you can detect if an agent fails to use a required companion script by auditing exported chat JSON data. The analysis identifies workflow inefficiencies and rule deviations, generating a report to help you correct your command definitions.
Your chat data needs to be in an exported JSON file format for workflow efficiency analysis. Providing the file path to the extraction script allows it to parse conversation logs and detect unnecessary context consumption and rule violations.
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