feature-review

Validate feature review decisions against governance criteria for traceability and decision integrity.

Updated Mar 31, 2026

Search Tags:#code review #validation #governance #traceability #feature review #prompt hashing

Ready to run

npx skills add https://github.com/heymishy/agentic-dev --skill feature-review-heymishy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: feature-review
Source: https://github.com/heymishy/agentic-dev/tree/main/skills/feature-review
Command: npx skills add https://github.com/heymishy/agentic-dev --skill feature-review-heymishy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams enforce a consistent governance policy for feature review decisions, reducing the risk of incomplete trace records, unverifiable prompts, or invalid review outcomes.

Core Features & Use Cases

Review Policy Enforcement: Applies explicit validation criteria for review agent decisions.
Trace Integrity Checks: Confirms required trace entries exist and can be verified.
Decision Validation: Ensures review outcomes conform to the expected governance rules.
Use Case: Use this Skill in an agentic software delivery workflow where a review agent must approve or reject work only after traceability and decision integrity checks pass.

Quick Start

Ask the review agent to validate a feature task against the feature-review governance criteria and confirm that all required trace and decision checks pass.

Frequently Asked Questions about feature-review

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

FAQPage Schema

How do I validate feature review decisions for traceability in automated software delivery?▼

Feature review validation checks trace entries, verifiable prompt hashing, and decision outcomes against policy criteria to ensure governance compliance in agentic software delivery workflows. It prevents incomplete trace records and invalid approvals before downstream tasks proceed.

What governance checks are required before an agentic review agent can approve a feature task?▼

Governance checks require a present trace entry, verifiable prompt hashing, and a valid decision outcome conforming to policy. These validation criteria ensure decision integrity and traceability before allowing downstream assurance or workflow completion.

How can I enforce consistent review policies across automated code review workflows?▼

You can enforce consistent review policies by applying explicit validation criteria to review agent decisions. This confirms required trace entries exist and ensures review outcomes conform to expected governance rules, reducing the risk of unverifiable prompts.

When do I need prompt hashing and trace entry validation for feature reviews?▼

You need prompt hashing and trace entry validation when operating agentic software delivery workflows where approvals must be checked for traceability and decision integrity. This ensures review agents only approve work after governance checks pass.

Does this feature validation process work without external dependencies or components?▼

Yes, the feature review validation operates independently without requiring external dependencies or components. It applies built-in governance criteria to validate trace entries, verify prompt hashing, and check decision outcomes directly within the workflow.

Why does my automated feature review fail governance validation checks?▼

Feature review governance validation fails when required trace entries are missing, prompt hashing cannot be verified, or the review outcome does not conform to expected policy rules. The validation enforces decision integrity before allowing downstream completion.