Agent Review Workflow

SkillAI & models

Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews

Available today. Use it from your connected AI after setup.

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.

  1. Frontmatter format: --- delimited YAML with name and description
  2. Size compliance: Under 400 lines; domain knowledge in Skills
  3. Divergence-only: Only behaviors diverging from Claude defaults
  4. Calm language: No "CRITICAL", "MANDATORY", "ABSOLUTE"
  5. Examples present: 3-5 canonical for critical/subtle behaviors
  6. Least privilege tools: Minimum needed in frontmatter
  7. maxTurns set: Present in frontmatter
  8. Platform safety: Via frontmatter/hooks, not prose
  9. Affirmative phrasing: "Do X" not "Don't do Y"
  10. Consistent terminology: One term per concept
  11. 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 PatternWhat to Flag
Embedded YAML config blocksShould be frontmatter or removed
activation-instructions sectionRemove -- Claude Code handles activation
IDE-FILE-RESOLUTION sectionRemove -- not needed in v2
commands with 10+ entriesReduce to 3-5 focused
Inline embed_knowledgeExtract to Skills
5+ "production frameworks"Remove -- platform handles safety
CRITICAL: prefixed instructionsRephrase as calm direct statements
Python/YAML safety code examplesRemove -- aspirational, not executable

Peer Review Protocol

  1. Receive agent file path from builder
  2. Execute full dimension review
  3. Return structured YAML verdict
  4. If revisions_needed, include prioritized fix list
  5. Builder revises and resubmits (max 2 iterations)
  6. 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
Agent Review Workflow (nw-review-workflow): Skill · ahel