Claude-Mem Agent Cost Report

Über diesen Skill

Analyze local agent transcripts into an HTML cost report, JSON, CSV line items, and evidence with explicit estimate labels.

Warum wir es empfehlen

A reusable workflow from the Claude-Mem project. It is listed separately to explain this task; shared runtime and helper dependencies remain part of the upstream installation. The inherited gallery demonstrates the memory system, not this task’s specific output.

Wobei es hilft

• Understand a session or period’s token usage and review work categories and possible rework.

How the workflow runs

1. Step 1

   Choose a project, session, or date range; the default is seven complete Pacific-time days excluding today.

2. Step 2

   Measure transcript tokens, apply saved list-price evidence, and distinguish measured, estimated, and unavailable spending.

3. Step 3

   Review draft work labels against evidence and render the report plus machine-readable files.

Original agent-cost-report instructions

Expected result

HTML report, report.json, line-items.csv, evidence.json; PDF depends on the documented rendering path.

Original agent-cost-report instructions

Try a concrete request

1. Example request

   After installing the required integration, ask your agent:

   Prepare last week’s agent usage report and clearly label list-price estimates versus measured provider charges.

Vor der Nutzung

• Bundled Python scripts, Python 3.9+ with timezone data, local Claude Code or Codex transcripts, and network access for list prices. Memory review needs Claude-Mem.
• Use the original upstream files and follow the documented host integration. Model or third-party service usage can carry separate costs.

Unterstützte Agents