iat

Audits Python scripts for compliance with Inline Audit Trail standards.

1|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/hsigstad/research-kit --skill iat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: iat
Source: https://github.com/hsigstad/research-kit/tree/main/skills/iat
Command: npx skills add https://github.com/hsigstad/research-kit --skill iat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of auditing Python scripts for compliance with the Inline Audit Trail (IAT) convention, proposing necessary comment additions to enhance documentation.

Core Features & Use Cases

  • Compliance Checking: Validates Python scripts against IAT conventions.
  • Comment Proposal: Suggests appropriate comment text to add for missing documentation.
  • Use Case: Utilize /iat to audit a script, ensuring that each critical step is well-documented with INTENT, REASONING, ASSUMES, and SOURCE comments.

Quick Start

To initiate a compliance check for the script 'data_preprocessing.py', use the command: /iat <script> data_preprocessing.py

Frequently Asked Questions about iat

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

FAQPage Schema
How do I audit Python scripts for Inline Audit Trail compliance?

To audit Python scripts for Inline Audit Trail compliance, you can use a dedicated auditing tool that checks for the presence of INTENT, REASONING, ASSUMES, and SOURCE comments within your code.

What is the Inline Audit Trail convention in Python code?

The Inline Audit Trail convention is a Python code documentation standard requiring critical script steps to include INTENT, REASONING, ASSUMES, and SOURCE comments to ensure a clear inline audit trail.

How do I generate missing IAT comments for a Python script?

You can generate missing IAT comments for a Python script by running an automated compliance check that proposes appropriate comment text to add for undocumented critical steps.

Do I need specific Python libraries to check IAT compliance?

Yes, checking IAT compliance requires a Python environment with appropriate libraries and file structures properly configured to validate the script documentation.

What are the limitations of automating Python script documentation checks?

Automating Python script documentation checks is limited to validating IAT compliance and proposing comments, meaning developers must still manually verify the logical accuracy of the suggested INTENT and REASONING statements.