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cost-report

Query and report on API usage costs across LLM, embedding, and tool providers

Skill by rajacsp

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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Query and report on API usage costs across LLM, embedding, and tool providers

Use cases: documents, backend, ml

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What's inside

Skill name
cost-report
Description
Query and report on API usage costs across LLM, embedding, and tool providers
License
MIT
Instructions
39 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Usage Cost Reporting

Query the API usage ledger and produce clear, actionable cost reports broken down by provider, model, and time period.

## When to Use

- When the user asks "how much have I spent" or "show me my usage"
- During heartbeats to check if spending is approaching a configured budget threshold
- When evaluating whether to switch models or providers based on cost efficiency
- As part of a daily or weekly briefing that includes operational metrics
- After a heavy ingestion or research session to assess the cost impact

## Step-by-Step Methodology

1. **Determine the time window**: Default to the current billing period (calendar month) unless the user specifies a range. Common windows: today, this week, this month, last 30 days, custom range.
2. **Query the ledger**: Use `query_usage` with the appropriate date range. The tool returns rows from the `api_usage` table with provider, model, token counts (input/output), and computed cost.
3. **Aggregate by dimension**: Break down the raw data into useful summaries:
   - **By provider**: Total cost per provider (OpenAI, Anthropic, local inference, etc.)
   - **By model**: Cost per model to identify which models consume the most budget
   - **By category**: Separate LLM inference costs from embedding costs from tool API costs
   - **By day**: Daily trend to spot spikes or patterns
4. **Compute key metrics**: Calculate:
   - Total spend for the period
   - Average daily cost
   - Cost per conversation (if trackable)
   - Projected monthly cost at current burn rate
5. **Compare to budget**: If a budget threshold is configured, compare current spend and projection against it. Flag if on track to exceed.
6. **Present the report**: Format as a clean table or summary. Lead with the headline number (total spend), then break down by the most useful dimension.

## Quality Guidelines

- Always show actual numbers, not vague descriptions. "You have spent $4.32 this month" is useful; "you have moderate usage" is not.
- Round costs to two decimal places for readability.
- When projecting monthly cost, note that it is an extrapolation and actual spend may vary.
- If the usage ledger is empty or the query returns no data, say so plainly rather than reporting zeros that could be misleading.
- In heartbeat context, only generate a cost report if spend is approaching a threshold or if a goal explicitly asks for cost monitoring. Do not waste energy on routine cost checks every heartbeat.
- Protect cost data as operational metadata. Do not expose it to external services.

From rajacsp/hexnostic, MIT.

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Last commit (this folder)
Aug 30, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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cost-report skill. Agent Mart. https://agentmart.dev/skills/rajacsp-cost-report (last updated 2026-10-24)