task-review

Audit task metadata to refresh timestamps and detect hash drift.

6|1|Updated Jan 5, 2026
One-click install
npx skills add https://github.com/JordanGunn/skills --skill task-review-jordangunn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: task-review
Source: https://github.com/JordanGunn/skills/tree/main/skills/task/review
Command: npx skills add https://github.com/JordanGunn/skills --skill task-review-jordangunn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill audits a task by updating the last_reviewed_at timestamp, recomputing derived status, and surfacing hash mismatches without altering the epistemic state.

Core Features & Use Cases

  • Lightweight task audits that refresh temporal markers and validate data consistency across task frontmatter, 99_STATE.md, and hashes.
  • Recomputes derived status to keep activation criteria aligned with the latest task data.
  • Detects drift or mismatches without mutating core task data; ideal for periodic governance and QA.

Quick Start

Run a review pass on a target task directory to refresh review metadata and report findings.

Frequently Asked Questions about task-review

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

FAQPage Schema
How do I audit task metadata to detect hash drift without changing state?

Run a task review pass to recompute derived status and flag hash mismatches while preserving the epistemic state. This audit refreshes the last_reviewed_at timestamp and validates data consistency across task frontmatter and state files without mutating core task data.

What is a task metadata audit used for in project governance?

A task metadata audit is used for periodic governance and QA to validate data consistency. It recomputes derived status to keep activation criteria aligned with the latest task data and surfaces mismatches across task frontmatter, 99_STATE.md, and hashes.

Can I refresh the last_reviewed_at timestamp without altering the epistemic state?

Yes, you can refresh the last_reviewed_at timestamp without altering the epistemic state. The review process updates temporal markers and recomputes derived status while strictly preserving the core task data during the audit.

When do I need to run a pre-activation check on task directories?

Run a pre-activation check on task directories when you need to verify data consistency and alignment before proceeding. The audit recomputes derived status, flags hash drift, and ensures activation criteria match the latest task data without state changes.

Does the task review process modify the core task data during a consistency check?

No, the task review process does not modify core task data during a consistency check. It operates as a lightweight audit that only updates the last_reviewed_at timestamp and reports findings, ensuring the epistemic state remains fully preserved.

What is the best way to validate task frontmatter against state files and hashes?

The best way to validate task frontmatter against state files and hashes is to run a targeted review pass. This process detects drift by recomputing derived status and surfacing hash mismatches across the task directory without mutating the underlying data.