Skills Data Science Comprehensive AI Cost Reporting Tool

Comprehensive AI Cost Reporting Tool

v20260707
cost-report
Generate a detailed cost report that tracks token usage, calculates USD expenses, and analyzes budget utilization for AI agents and underlying models. This tool aggregates spending by agent, model, and defined operational tier (Tier 1/2/3), providing critical insights into operational efficiency and budget adherence. Ideal for monitoring resource consumption in complex LLM workflows.
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Overview

Cost Report

Generate a comprehensive cost report showing token usage, USD costs, and budget utilization for the specified period.

When to use

When you need to understand current spending -- how much each agent costs, which models consume the most budget, and whether you're on track to stay within budget.

Steps

  1. Retrieve usage -- call mcp__claude-flow__memory_search (or _list / _retrieve) on the cost-tracking namespace for the specified period (default: today). The memory_* tools route by namespace string; the agentdb_hierarchical-* tools do not (they route by tier working|episodic|semantic), so don't use them here. See ruflo-agentdb ADR-0001 §"Namespace convention" for the routing contract. 1a. Read measured booster data -- if docs/benchmarks/runs/latest.json exists, load it via Bash-shelled node -e 'console.log(JSON.stringify(JSON.parse(require("fs").readFileSync("docs/benchmarks/runs/latest.json")).summary))'. This provides Tier 1 measured values — booster cost/edit ($0), avg latency, win rate, plus any LLM baseline that was run (Gemini, Sonnet 4.6, Opus 4.7 latencies and per-edit costs). Use these in step 4 for the measured Tier breakdown rather than estimated.
  2. Compute costs -- for each record, calculate cost using model pricing:
    • Haiku: $0.25/M input, $1.25/M output
    • Sonnet: $3.00/M input, $15.00/M output
    • Opus: $15.00/M input, $75.00/M output
    • Include cache write/read costs where applicable
  3. Aggregate by model -- sum costs per model, compute percentage share
  4. Aggregate by tier -- classify each record as Tier 1 / Tier 2 / Tier 3 using three signals (in priority order): (a) bench data from step 1a — for any record that maps to a measured booster intent, use $0 / measured-latency directly; (b) the [AGENT_BOOSTER_AVAILABLE] flag stored by the cost-booster-route skill in cost-tracking; (c) the model name as fallback (haiku → Tier 2; sonnet/opus → Tier 3). Sum costs per tier, compute share, and count Tier 1 bypasses. The tier breakdown is the most actionable single line — it tells the user what fraction of Sonnet/Opus spend was Tier 1-eligible.
  5. Aggregate by agent -- sum costs per agent, include the model each agent used
  6. Check budget -- recall budget configuration via memory_retrieve and compute utilization percentage, check alert thresholds (50%/75%/90%/100%)
  7. Report -- display: total cost, budget remaining, tier breakdown (Tier 1 / Tier 2 / Tier 3), model breakdown, agent breakdown, active alerts. See REFERENCE.md §"Cost report shape" for the canonical layout.

CLI alternative

npx @claude-flow/cli@latest memory search --query "cost report for today" --namespace cost-tracking
npx @claude-flow/cli@latest memory list --namespace cost-tracking
Info
Category Data Science
Name cost-report
Version v20260707
Size 3.18KB
Updated At 2026-07-09
Language