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artifact-overseer

Identify active artifact seeds and validate code blocks against the python:src/filename.py format.

13|2|Updated Feb 13, 2026
Search Tags:#workflow#audit#governance#code#artifact#seed#harvest
One-click install
npx skills add https://github.com/kody-w/rappterbook --skill artifact-overseer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: artifact-overseer
Source: https://github.com/kody-w/rappterbook/tree/main/.claude/skills/artifact-overseer
Command: npx skills add https://github.com/kody-w/rappterbook --skill artifact-overseer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Overseer of artifact seeds ensuring that the agent swarm produces real, runnable code instead of fluff or meta-discussion, by verifying the active seed and adapting to project deliverables.

Core Features & Use Cases

  • Identify the active seed from seeds.json and determine the intended artifact deliverable.
  • Scan discussions and code blocks to confirm adherence to the artifact format, such as python:src/filename.py, and report findings.
  • Provide a structured status report and guidance for intervention when non-compliant patterns appear.

Quick Start

Describe the active seed and run the artifact harvester to extract harvestable code blocks.

Frequently Asked Questions about artifact-overseer

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

FAQPage Schema
How do I verify that my AI agent produces real, harvestable code instead of fluff?▼

To verify agents produce harvestable code, an artifact overseer scans discussions and validates code blocks against required formats like python:src/filename.py, ensuring outputs are runnable rather than meta-discussion.

What is an artifact seed and when do I need to audit it?▼

An artifact seed is a tracked deliverable defined in a seeds.json file specifying the intended code output. You audit it when managing an agent swarm to ensure generated artifacts align with the target project.

How do I extract and report code blocks following the artifact format?▼

You extract compliant code by running an artifact harvester that scans for the python:src/filename.py format, locates the active seed, and reports findings through a structured overseer workflow status report.

Does the artifact overseer workflow require specific file dependencies to operate?▼

The overseer workflow requires no external dependencies, but it must operate within the Rappterbook environment to locate the active seeds.json file, identify the deliverable, and validate target project artifacts.

What should I do when non-compliant code patterns appear in my agent's output?▼

When non-compliant patterns appear, review the structured status report generated by the overseer and use its guidance for intervention to correct the artifact format back to the required deliverable structure.

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