robot-update-package

Generate JSON robot-update-packages from child dialogue summaries for pending human review.

Updated Dec 17, 2025
One-click install
npx skills add https://github.com/haizhouyuan/codexreadpublic --skill robot-update-package
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: robot-update-package
Source: https://github.com/haizhouyuan/codexreadpublic/tree/main/skills-src/robot-update-package
Command: npx skills add https://github.com/haizhouyuan/codexreadpublic --skill robot-update-package

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill packages child dialogue summaries into a formal “robot update package” for human review and controlled application, ensuring safety and traceability.

Core Features & Use Cases

  • Structured package output: Contains inputs, suggested actions, and risks without exposing raw dialogues.
  • Review-first workflow: Output defaults to pending review; cannot be applied automatically.
  • Audit-ready format: JSON-based package designed for human-in-the-loop validation.

Quick Start

Provide child dialogue bundles; the tool outputs a JSON update package under exports/robot-update-packages with status "pending".

Frequently Asked Questions about robot-update-package

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

FAQPage Schema
How do I package child dialogue summaries for human review?

Create structured robot update packages from child dialogue bundles by processing summaries into JSON format with inputs, advice, proposed actions, risks, and open questions. The output defaults to pending review status, preventing automatic application and ensuring human oversight of all changes.

What's the difference between applying dialogue updates automatically versus through a review workflow?

A review-first workflow routes all changes through human validation before application, unlike automatic updates. This Skill enforces pending status on output packages, requiring explicit approval and maintaining audit trails for compliance and traceability.

Can I use child dialogue logs to generate audit-ready change packages?

Yes. Import child dialogue summaries and logs; the tool outputs JSON packages under exports/robot-update-packages with structured fields and pending review status, creating an audit-ready format designed for human-in-the-loop validation without exposing raw dialogue content.

How do I ensure dialogue-based updates don't apply without approval?

This Skill enforces a non-automatic application policy by setting review.status to pending on all generated packages. Output contains only summarized content in structured fields, requiring manual review and explicit approval before any changes take effect.

What information should I include in child dialogue bundles for packaging?

Provide child dialogue summaries and logs from imports/child/. The Skill processes these into template-based packages with structured fields: inputs, u1_advice, proposed_actions, risks, and open_questions, optionally augmented with memory context for richer review material.

Why use structured JSON packages instead of raw dialogue exports?

Structured packages isolate actionable information—suggested actions, risks, and questions—from raw dialogue, reducing review burden while maintaining safety. Template-based formatting ensures consistency, traceability, and compliance-ready audit trails across all generated updates.