Agent Review Workflow
SkillAI & modelsDetailed review process, v2 validation checklist, and scoring methodology for agent definition reviews
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 Agent Review Workflow skill
What this skill tells your AI
The instructions your AI receives, as published by nwave-ai/nwave in nWave/skills/nw-review-workflow/SKILL.md and read by ahel’s review.
V2 Validation Checklist (11 Points)
Run against every agent under review. Each item pass/fail.
- Frontmatter format:
---delimited YAML withnameanddescription - Size compliance: Under 400 lines; domain knowledge in Skills
- Divergence-only: Only behaviors diverging from Claude defaults
- Calm language: No "CRITICAL", "MANDATORY", "ABSOLUTE"
- Examples present: 3-5 canonical for critical/subtle behaviors
- Least privilege tools: Minimum needed in frontmatter
- maxTurns set: Present in frontmatter
- Platform safety: Via frontmatter/hooks, not prose
- Affirmative phrasing: "Do X" not "Don't do Y"
- Consistent terminology: One term per concept
- Clear delegation: Description states when to delegate
Scoring Methodology
Per-Dimension Scoring
For each of 7 critique dimensions (from critique-dimensions skill):
- Pass: All checks satisfied
- Fail: One or more checks not satisfied
Verdict Logic
IF any high-severity dimension fails:
verdict = "revisions_needed"
ELIF count(medium-severity failures) >= 3:
verdict = "revisions_needed"
ELSE:
verdict = "approved"
High-severity: template_compliance, size_and_focus, safety_implementation, priority_validation Medium-severity: divergence_quality, language_and_tone, examples_quality
Evidence Requirements
Every finding includes: Dimension (which of 7) | Severity (high/medium/low) | Finding (observed, with line numbers/counts) | Recommendation (specific fix action)
Common V1 to V2 Migration Issues
| Residual Pattern | What to Flag |
|---|---|
| Embedded YAML config blocks | Should be frontmatter or removed |
activation-instructions section | Remove -- Claude Code handles activation |
IDE-FILE-RESOLUTION section | Remove -- not needed in v2 |
commands with 10+ entries | Reduce to 3-5 focused |
Inline embed_knowledge | Extract to Skills |
| 5+ "production frameworks" | Remove -- platform handles safety |
CRITICAL: prefixed instructions | Rephrase as calm direct statements |
| Python/YAML safety code examples | Remove -- aspirational, not executable |
Peer Review Protocol
- Receive agent file path from builder
- Execute full dimension review
- Return structured YAML verdict
- If
revisions_needed, include prioritized fix list - Builder revises and resubmits (max 2 iterations)
- On second rejection, escalate to user
Command Template Review
Additional checks for nWave command files (tasks):
- Size: 50-60 lines target; >60 warning, >150 major, >500 blocker
- Structure: agent activation metadata, context files section, success criteria
- Delegation: business logic belongs in agent, not command
- No embedded procedural steps (STEP 1, STEP 2)
Signals
- GitHub stars
- 610
- Forks
- 64
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
nw-review-workflow- Source
- github.com/nwave-ai/nwave