Analyze SQLite records to calculate AI token usage and financial costs.
npx skills add https://github.com/ShaggyD/agent-toolkit --skill opencode-analyzer
Please help me install this Agent Skill. Skill: opencode-analyzer Source: https://github.com/ShaggyD/agent-toolkit/tree/main/tools/opencode-analyzer Command: npx skills add https://github.com/ShaggyD/agent-toolkit --skill opencode-analyzer
This skill solves the issue of hidden budget drift in AI coding agents by providing granular visibility into token usage and actual spending patterns.
Run the opencode-cost command in your terminal to generate a complete cost breakdown report from your local database.
High-intent search queries and answers about installing and using this skill.
You can track AI agent token usage and calculate costs by analyzing local SQLite database records to generate granular financial cost breakdowns. This process evaluates actual spending patterns to provide daily, weekly, and monthly reporting.
You can compare LLM token usage costs against OpenRouter model tiers by repricing your actual token consumption against OpenRouter equivalents. This comparison identifies potential savings across different model pricing structures.
The best way to forecast AI coding agent spending and catch budget drift is by using rolling averages to project future costs. This approach catches unusual spending patterns before they result in surprise bills.
Yes, you need sqlite3 and bc installed to generate token cost reports. Sqlite3 is required for database querying, while bc handles the mathematical cost projections needed for accurate financial calculations.
maxvaegaParse local JSONL transcript logs to estimate pay-per-token API costs in USD and EUR.
WellFitCommunityMonitor AI spending and usage across MCP and automation skills.
cosmicstack-labsTrack token consumption and enforce per-agent budget limits in multi-agent workflows.
jeremylongshoreAnalyze cloud usage data to identify cost-saving opportunities across AWS, Azure, and GCP.
