Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

NW-REVIEW: Expert Critique and Quality Assurance · nwave-ai | DecimalAI

agent toolingby nwave-ai

NW-REVIEW: Expert Critique and Quality Assurance

nwave-ai/nw-review

Source nwave-ai/nwave ↗License MIT

Dispatches an expert reviewer agent to critique workflow artifacts.

SkillScore73Maintained

Automatic

QA & Test Engineering pack

Last verified 8/17/2026

What it changes

Passed 12 of 17 test cases with the skill, and 8 of 17 without it.

Without skill45%

With skill73%

Checks it passed that the model alone missed

Applies default RPP level range from 1 to 6
Rejects component as an invalid artifact type
Skips review execution without calling the Task tool

and 4 more in the full report

7 fixed9 passed either way5 still failing1 broke

Pass-rate lift: +27 pp
Tokens: +121%
Agent turns: 0%
Response time: -58%

Model gemini-3.6-flashMeasured 8/17/2026v116 of 22 cases passed with skill · 17 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nwave-ai-nw-review/SKILL.md https://app.decimal.ai/s/nwave-ai-nw-review/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nwave-ai-nw-review, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nwave-ai-nw-review/ and pins it in .decimal/skills.lock

decimalai skills add nwave-ai-nw-review

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nwave-ai-nw-review/SKILL.md https://app.decimal.ai/s/nwave-ai-nw-review/SKILL.md

Raw file: /s/nwave-ai-nw-review/SKILL.md ↗ · machine-readable summary at /s/nwave-ai-nw-review.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

We want to critique an architecture baseline artifact located at docs/arch/baseline.json using @nw-platform-architect. Which subagent name should be dispatched?

What was checked, without and with the skill
Checked	Without skill	With skill
Appends -reviewer suffix to derive nw-platform-architect-reviewer	Missed	Passed

case-04 · gemini-3.6-flash · 8/17/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md138 linessingle file

NW-REVIEW: Expert Critique and Quality Assurance

Wave: CROSS_WAVE Agent: Dynamic (nw-*-reviewer)

Overview

Dispatches expert reviewer agent to critique workflow artifacts. Takes base agent name, appends -reviewer, invokes with artifact. Reviewer agent owns all review methodology|criteria|output format.

Review Philosophy: Radical Candor

Every review MUST embody Radical Candor — kind AND clear, specific AND sincere:

Care personally: Acknowledge what works. Understand author's intent before critiquing. Include at least one genuine praise: per review.
Challenge directly: Be specific about what is wrong and WHY. Ground feedback in evidence|consequences, not preference. Never soften security/data-loss issues.
Avoid ruinous empathy: Never "LGTM" when real issues exist. Hedging ("maybe consider possibly...") on blocking concerns is a review failure.
Avoid obnoxious aggression: Never "this is terrible" without constructive alternative. Focus on work, not author. Explain "why" behind every critique.

Feedback Format: Conventional Comments

All findings MUST use Conventional Comments labels:

Label	Purpose	Blocking?
`praise:`	Highlight something done well (genuine, not filler)	No
`issue (blocking):`	Must be resolved before proceeding	Yes
`issue (blocking, security):`	Security vulnerability — maximum directness	Yes
`suggestion:`	Propose improvement with reasoning	Mark `(blocking)` or `(non-blocking)`
`nitpick (non-blocking):`	Trivial, preference-based	No
`question (non-blocking):`	Seek clarification before assuming	No
`thought (non-blocking):`	Idea sparked by the review	No

Findings MUST be priority-ordered: blocking issues first, then suggestions, then nitpicks/praise.

Approval Criteria

Verdict	Criteria
APPROVED	No blocking issues. Non-blocking feedback is advisory.
NEEDS_REVISION	Blocking issues exist. Author must address. Each blocking issue enumerated.

Track record

Benchmark

12 / 17

test cases passed, vs 8 / 17 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nwave-ai / nwave

nWave/skills/nw-review/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

NW-REVIEW: Expert Critique and Quality Assurance

Overview

Review Philosophy: Radical Candor

Feedback Format: Conventional Comments

Approval Criteria

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills