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discount-review

Inspects a discount policy fixture using a Python helper script and review checklist.

24.7k|2.3k|Updated Apr 28, 2023
Search Tags:#Python#ticket#Fixture#bug analysis#discount policy#maintainer report#Code review
One-click install
npx skills add https://github.com/promptfoo/promptfoo --skill discount-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: discount-review
Source: https://github.com/promptfoo/promptfoo/tree/main/examples/openai-agents/skills/discount-review
Command: npx skills add https://github.com/promptfoo/promptfoo --skill discount-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Reviewing a discount policy fixture for a known boundary bug requires consistent, repeatable steps. This Skill standardizes the review by running a helper script that extracts the ticket id, severity, owner, primary file, and minimal fix from the fixture repository.

Core Features & Use Cases

  • Automated Fixture Analysis: Runs analyze_discount_policy.py against the fixture repo to extract structured JSON metadata about TICKET-014.
  • Guided Review Checklist: Directs inspection of skill_fixture/repo/src/discount_policy.py before producing a maintainer report.
  • Use Case: When asked to review the discount policy fixture, run the helper script, verify the boundary condition bug (return discount_percent > 20), and produce a concise maintainer report citing the minimal fix (>= 20).

Quick Start

Ask the assistant to review the discount policy fixture and produce a maintainer report using the helper script.

Frequently Asked Questions about discount-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review the discount policy fixture?▼

Run the helper script with `python3 skills/discount-review/scripts/analyze_discount_policy.py skill_fixture/repo`, then inspect `skill_fixture/repo/src/discount_policy.py` and write a concise maintainer report citing the helper output.

What does the analyze_discount_policy.py script output?▼

The script prints a JSON object containing the ticket id (TICKET-014), severity (high), owner (platform-integrations), primary file path, minimal fix, and the first line of the ticket file.

What bug does the discount policy fixture contain?▼

The fixture contains a boundary bug where the code reads `return discount_percent > 20` instead of `>= 20`. The minimal fix is to change the comparison to `return discount_percent >= 20`.

What happens if the fixture no longer contains the expected bug?▼

The script exits with an error message stating the fixture no longer contains the expected boundary bug, since it validates that `return discount_percent > 20` is present in the source before producing output.

Does the discount review script require any Python packages?▼

No external packages are required. The script uses only Python standard library modules (json, sys, pathlib) and runs with python3 directly.

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