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Found 20 Skills
Show detailed token ROI report across all tracked sessions
Query Langfuse traces for debugging LLM calls, analyzing token usage, and investigating workflow executions. Use when debugging AI/LLM behavior, checking trace data, or analyzing observability metrics.
Generate a cost report showing token usage and USD costs by agent and model
Monitors AI Gateway traffic, costs, latency, errors, and token usage by querying request traces via the spans query API.
Auto-capture per-session token usage from the Claude Code session jsonl and persist to the cost-tracking namespace
Show whether each skill is earning its context-window cost — combined tokens-used view sorted by waste. Use when the user asks 'are my skills worth it', 'what's my context budget', 'which skills are dead weight', or wants to audit skill value, token cost, or usage. Trigger with '/janitor-value'.
Interactive TUI dashboard for visualizing Claude Code token usage, costs, and task breakdowns by project, model, and activity type.
Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /hui-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.