li195111/claude-token-analyzer
Skill Claude CodeCodex
This skill should be used when the user asks about "anomalies", "problems", "有異常嗎", "哪些會話有問題", "排查", "診斷", or suspects waste or efficiency issues in Claude Code usage. Scans for 6 types of statistical anomalies with severity scoring and automatic drill-down into suspicious sessions. Can also be routed from the main…
li195111/claude-token-analyzer
Skill Claude CodeCodex
This skill should be used when the user asks to "analyze this project", "project health check", "分析這個專案", "專案健檢", "subagent efficiency", "tool usage analysis", "工具使用", or needs detailed analysis of a specific project's token usage patterns. Provides four-dimension analysis: cost, efficiency, tools, and architecture.…
li195111/claude-token-analyzer
Skill Claude CodeCodex
This skill should be used when the user asks about "trends", "usage trends", "趨勢", "用量在漲嗎", "預測", "燃率", "burn rate", or wants to understand whether Claude Code usage is increasing or decreasing over time. Supports daily/weekly/monthly granularity with simple forecasting. Can also be routed from the main cta skill.
aarora79/claude-code-usage-analyzer
Skill Claude CodeCodex
Run the Cipher security-engineer persona over the repository's pending changes to catch and fix security problems before any commit or enhancement. Reviews the working diff against a catalog of real-world security anti-patterns (SSRF, injection, subprocess safety, secret/PII log leakage, weak defaults, dependency…
aarora79/claude-code-usage-analyzer
Skill Claude CodeCodex
Generate the Claude Code tokenomics dashboard for a chosen number of days of history and present it with a director-level commentary. Ask the user for one input only, the number of days of history to analyze, then state that you will fetch that data using the ccusage tool, run the analyzer, and open the resulting…
Skill Claude CodeCodex
Analyze your OpenClaw API spend — total cost, cost last 7 days, top cost leaks by model and provider, and concrete steps to reduce your bill. Use when the user asks about their AI spending, costs, budget, or which models are costing the most.