oat-review-receive

Parse local markdown review artifacts into a normalized findings register and generate actionable tasks.

1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/tkstang/open-agent-toolkit --skill oat-review-receive
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oat-review-receive
Source: https://github.com/tkstang/open-agent-toolkit/tree/main/.agents/skills/oat-review-receive
Command: npx skills add https://github.com/tkstang/open-agent-toolkit --skill oat-review-receive

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users process review findings from local artifacts, converting them into actionable task lists without altering the main project lifecycle.

Core Features & Use Cases

  • Ad-hoc Triage: Process review findings outside of a formal OAT project context.
  • Artifact Normalization: Parses markdown review artifacts into a structured findings register.
  • Task Generation: Creates standalone, actionable task lists from triaged findings.
  • Use Case: You receive a code review report as a markdown file. Use this Skill to quickly triage the findings, decide which ones need action, and generate a to-do list for yourself.

Quick Start

Use the oat-review-receive skill to process the review findings in the file 'local-review.md'.

Frequently Asked Questions about oat-review-receive

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

FAQPage Schema
How do I convert markdown code review findings into actionable tasks?

To convert markdown code review findings into actionable tasks, you can use a tool to parse the local review artifacts into a normalized findings register and generate a standalone task list. This allows you to triage findings and decide on necessary actions.

Can I triage code review findings from a local markdown file outside of a formal project?

Yes, you can triage code review findings from a local markdown file outside of a formal project. This supports ad-hoc triage by auto-detecting or specifying local review files to process findings without altering the main project lifecycle.

What is the best way to normalize markdown review artifacts into a structured findings register?

The best way to normalize markdown review artifacts into a structured findings register is by parsing the local files to extract and classify findings by severity. This process converts unstructured markdown into a normalized format for triage.

Does processing local review artifacts require file system access?

Yes, processing local review artifacts requires file system access. The tool needs this access for artifact location, parsing markdown files into a findings register, and generating the output task lists.

How do I classify severity and disposition for triaged code review findings?

You classify severity and disposition for triaged code review findings through user-driven dispositioning during the artifact normalization process. The tool parses the markdown findings and allows you to assign severity levels to generate actionable tasks.