Quality gate: verify each acceptance criterion of a completed task/work unit, run quality checks, and create follow-up tasks for gaps. Use before merging or to audit delivered work. Invoked as /agiflow:review-work <work-unit-or-task>. Uses get_work_unit, get_task, update_task, create_task, create_task_comment.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
> Invoked as `/agiflow:review-work`. In hosts without slash-prompts, this skill is triggered by matching intent and drives AgiFlow via its MCP tools.
**Usage**:
- `/agiflow:review-work <work-unit-slug-or-id>` - Review a specific work unit
- `/agiflow:review-work <task-slug-or-id>` - Review a specific task
- `/agiflow:review-work` - List completed items for review
**Examples**:
- `/agiflow:review-work DXX-WU-1` (review work unit by slug)
- `/agiflow:review-work DXX-3` (review task by slug)
- `/agiflow:review-work` (interactive selection)
---
**Purpose**
Verify that completed work actually meets its acceptance criteria, catches quality issues, and is ready to ship. AI code has 1.7x more defects than human-written code — review is the last line of defense before shipping.
**Guardrails**
- Review what exists — do not implement fixes during review (create follow-up tasks instead).
- Every acceptance criterion gets a pass/fail verdict with evidence.
- Flag issues by severity: blocker (must fix), warning (should fix), note (nice to fix).
- Be honest — a "pass" with gaps is worse than a clear "needs rework".
…
The line at the top of this page pins the label git:20260604.8378e76, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_yyewmrnxnwzg3dki
GET https://markdownregistry.com/api/v1/resolve?ref=hashgraph-online/awesome-codex-plugins/review-work
GET https://markdownregistry.com/api/v1/blob/88f3a4a71bd6f4ab758efdc068a110dc43dd97415580ad75add390f97f624e7f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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