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.