weekly-report

Structure and data sources for the weekly inventory report. Load this when the task is "weekly report", "Monday report", or "summarize inventory status".

1.03x

Quality

88%

Does it follow best practices?

Impact

87%

1.03x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

89%

Monday Morning Inventory Report

Full weekly inventory report generation

Criteria

Without context

With context

Single Python script

100%

Script loads data once

100%

Correct stock_levels source

100%

Correct products join

100%

Correct sales_history source

100%

Days cover formula

100%

JSONL purchase orders source

100%

Stockouts section

100%

Low stock top 15 ordering

25%

37%

Aging PO detection

100%

Forecast risk filter

62%

Forecast risk line format

42%

57%

Report header format

100%

Four report sections present

100%

23%

Daily Inventory Check

Daily inventory sweep format and cadence

Criteria

Without context

With context

Python script produced

100%

Script reads files once

100%

Daily format: actions lead

33%

100%

Summary notification present

100%

No Open POs section

100%

No Forecast Risk section

100%

Uses latest date rows

100%

Days cover calculation

100%

Low stock items identified

100%

73%

-15%

Seasonal and Promotional Stock Risk Analysis

Forecast risk filtering and table column structure

Criteria

Without context

With context

Python script file

100%

Single-pass data loading

100%

Forecast risk: promo flag

80%

70%

Forecast risk: seasonal flag

80%

60%

Forecast risk: 14d cover threshold

50%

12%

Forecast risk line format

75%

37%

Low stock table columns

100%

75%

Open PO table columns

100%

Low stock top 15 ascending

100%

Aging PO flagged

80%

100%

Latest date for stock

100%

14-day sales window

100%

40%

Repository: anthropics/cwc-workshops
Commit: 970b040

Evaluated: 22 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Monday Morning Inventory Report Daily Inventory Check Seasonal and Promotional Stock Risk Analysis

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