usage-costsReport AI token usage and estimated costs. Use when: owner asks about costs today/yesterday/this week, per session, or per model. Shows main session, cron jo...
Install via ClawdBot CLI:
clawdbot install netanel-abergel/usage-costsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
Operations managers review daily AI agent usage costs from the previous day. The skill reads token counts from live sessions, cron job runs, and token history to generate a consolidated report showing cost breakdown per session type.
Finance teams analyze weekly spending on AI agents by aggregating token history over the past 7 days. The skill provides a per-day breakdown and total estimated cost, enabling proactive budget adjustments.
Developers query the cost of a specific AI session to optimize prompt design. The skill extracts usage data from the session's JSONL file and calculates cost based on token counts and cache efficiency.
Teams monitor cache read/write ratios across all agents to reduce costs. The skill reports cache tokens alongside input/output tokens, highlighting opportunities to increase caching for cheaper operations.
Charge internal departments based on actual AI token consumption tracked by this skill. Each department's usage is totaled from sessions and cron jobs, enabling fair cost allocation and encouraging efficient usage.
Offer cost analysis reports as a managed service to clients using AI agents. This skill automates the generation of daily/weekly cost summaries, which consultants use to advise on optimization strategies.
Integrate this skill into a multi-agent platform as a built-in feature. Users get transparent cost breakdowns per session, model, or time period, increasing platform stickiness and value.
💬 Integration Tip
Deploy the skill on a server with access to OpenClaw session and cron directories; set up a cron job to run the daily report append automatically and store the context file with pricing variables.
Scored May 7, 2026
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