review-work
SkillProductivityQuality 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the review-work skill
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/AgiFlow/ai-plugin/skills/review-work/SKILL.md and read by ahel’s review.
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".
If a work unit or task slug/id is provided, load it with get_work_unit / get_task; otherwise list candidates with list_work_units / list_tasks for selection.
AgiFlow Project Management Guidelines
Follow the shared AgiFlow project-management guidelines in references/agiflow-agents.md — agent assignment, the task status workflow and transitions, work-unit best practices, and the tags strategy apply to this workflow.
Steps
1. Load the Work for Review
If work unit slug/id provided:
- Use
get_work_unitMCP tool to load the work unit and its tasks. - For each task in the work unit, use
get_taskto load full details (acceptance criteria, devInfo, comments).
If task slug/id provided: 3. Use get_task MCP tool to load the task with full details.
If nothing provided: 4. Use list_work_units with status: "completed" to show completed work units. 5. Use list_tasks with status: "Review" or status: "Done" to show completed tasks. 6. Ask user to select what to review.
2. Acceptance Criteria Audit
- For each task, evaluate EVERY acceptance criterion:
| Criterion | Verdict | Evidence |
|---|---|---|
| [criterion text] | PASS / FAIL / PARTIAL | [what you observed] |
Verdict rules:
- PASS: Criterion is fully met with evidence (test results, devInfo notes, implementation confirmed)
- FAIL: Criterion is not met or cannot be verified
- PARTIAL: Criterion is partially met — document what's missing
- Check devInfo for implementation evidence:
- Were files actually changed? (
filesChangedin devInfo) - Did tests pass? (
testResultsin devInfo) - Is there a draft PR? (
draftPrin devInfo) - Were acceptance criteria marked as checked?
- Were files actually changed? (
3. Quality Checks
- Evaluate these quality dimensions:
Completeness:
- Are ALL acceptance criteria addressed (not just the easy ones)?
- Are there gaps between what was asked and what was delivered?
- Were test cases included for critical paths?
Consistency:
- Do the changes align with the task/work unit description?
- Is the scope appropriate (no gold-plating, no missing pieces)?
- Do devInfo notes match the actual changes?
Risk Assessment:
- Are there edge cases that weren't covered?
- Could the changes break existing functionality?
- Are there security implications?
- Are there performance concerns?
4. Review Comments
- For each task reviewed, use
list_task_commentsto check existing progress notes. - Use
create_task_commentto add your review findings:
**Review Summary**
Verdict: APPROVED / NEEDS REWORK / APPROVED WITH NOTES
**Acceptance Criteria:**
- [criterion 1]: PASS - [evidence]
- [criterion 2]: FAIL - [what's missing]
**Issues Found:**
- [BLOCKER] [description] — must fix before shipping
- [WARNING] [description] — should fix, creates tech debt
- [NOTE] [description] — minor improvement opportunity
**What's Good:**
- [positive observation]
**Next Steps:**
- [action needed, if any]
5. Verdict and Actions
- Based on findings, recommend one of:
APPROVED — All criteria pass, no blockers.
- If work unit: use
update_work_unitto confirm status "completed" - If task: use
update_taskto confirm status "Done" - Summarize what shipped and its value
APPROVED WITH NOTES — All criteria pass, minor issues.
- Keep current status
- Create follow-up tasks for noted improvements using
batch_create_tasks - Document notes in task comment
NEEDS REWORK — One or more criteria fail or blockers found.
- If work unit: use
update_work_unitto set status back to "in_progress" - If task: use
update_taskto set status back to "In Progress" - Uncheck failed acceptance criteria
- Document what needs to change in task comment
- Be specific: "criterion X fails because Y, to fix do Z"
6. Work Unit Summary (if reviewing a work unit)
- After reviewing all tasks in the work unit, produce a rollup:
**Work Unit Review: [title]**
Tasks: [N passed] / [total] passed
Overall: APPROVED / NEEDS REWORK
| Task | Slug | Verdict | Issues |
|------|------|---------|--------|
| [title] | [slug] | PASS | 0 |
| [title] | [slug] | FAIL | 2 blockers |
[Summary of what the work unit delivers and whether it's ready]
Common Mistakes to Avoid
- Rubber-stamping: marking PASS without checking evidence
- Fixing issues during review instead of documenting them for rework
- Ignoring devInfo (it contains the implementation trail)
- Reviewing only the happy path and missing edge cases
- Not creating follow-up tasks for issues found
- Approving work with unchecked acceptance criteria
Signals
- GitHub stars
- 985
- Forks
- 276
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
review-work-hashgraph-online- Source
- github.com/hashgraph-online/awesome-codex-plugins