Atlas / Skills / nwave-ai / Nw Review

Nw ReviewSAFE

skills/nwave-ai/nw-review

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-review
description: "Dispatches an expert reviewer agent to critique workflow artifacts. Use when a roadmap, implementation, or step needs quality review before proceeding."
user-invocable: true
argument-hint: '[agent] [artifact-type] [artifact-path] - Example: @software-crafter task "roadmap.json"'
---

# 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. |
| **REJECTED** | Fundamental design problems requiring significant rework. Rare — explain thoroughly, offer alternatives. |

## Syntax

```
/nw-review @{agent-name} {artifact-type} "{artifact-path}" [step_id={id}] [--dimensions=rpp] [--from=1] [--to=3]
```

**Parameters:**
- `@{agent-name}` - Base agent (e.g., `@nw-software-crafter`). `-reviewer` suffix appended automatically.
- `{artifact-type}` - One of: `baseline`, `roadmap`, `step`, `task`, `implementation`
- `{artifact-path}` - Path to artifact file (resolved to absolute)
- `step_id={id}` - Required for step and implementation reviews
- `--dimensions=rpp` - Triggers RPP code smell scan alongside standard review (Dimension 4)
- `--from=N` / `--to=N` - RPP level range (default: 1-6). Requires `--dimensions=rpp`

## Rigor Profile Integration

Before dispatching the reviewer agent, read rigor config from `.nwave/des-config.json` (key: `rigor`). If absent, use standard defaults.

- **`review_enabled`**: If `false`, skip the review entirely. Output: "Review skipped per rigor profile (review_enabled=false)."
- **`reviewer_model`**: Pass as `model` parameter to Task tool. If `"skip"`, skip the review. Overrides the default Haiku model.
- **`double_review`**: If `true` and called from deliver Phase 4, the caller is responsible for invoking review twice.

## Agent Derivation

| User provides | Reviewer invoked |
|---|---|
| `@nw-software-crafter` | `nw-software-crafter-reviewer` |
| `@nw-solution-architect` | `nw-solution-architect-reviewer` |
| `@nw-platform-architect` | `nw-platform-architect-reviewer` |

Default model: Haiku (overridden by `rigor.reviewer_model` when set).

## Agent Invocation

1. **Parse parameters** — Strip `@` from agent name, resolve artifact path to absolute, extract optional step_id, dimensions, from/to range. Gate: all parameters parsed.
2. **Read rigor config** — Read `.nwave/des-config.json` key `rigor`. If absent, use standard defaults. Gate: rigor profile loaded or defaults applied.
3. **Validate inputs** — Run all four validation checks below. Gate: zero validation failures.
4. **Apply rigor overrides** — Check `review_enabled` (skip if false), determine model from `reviewer_model` (default: haiku, skip if "skip"). Gate: execution decision made.
5. **Invoke reviewer** — Call Task tool with `subagent_type="{agent-name}-reviewer"`, resolved model, and prompt `"Review {artifact-type}: {absolute-artifact-path} [step_id={id}]"`. Reviewer handles reading artifact, applying domain expertise, generating structured critique, updating original artifact with review metadata. Gate: Task tool invoked.

## Validation (before invoking)

1. **Agent exists** — Strip `@`, check agent name against agent registry. Gate: agent found or return "Unknown agent: {name}. Check available agents with /nw-agents."
2. **Artifact type valid** — Confirm type is one of: baseline, roadmap, step, task, implementation. Gate: type valid or return "Invalid artifact type: {type}. Use: baseline, roadmap, step, task, implementation."
3. **Artifact file exists** — Resolve to absolute path and confirm file exists. Gate: file found or return "Artifact not found: {path}."
4. **step_id present when required** — Require step_id when artifact type is `step` or `implementation`. Gate: step_id provided or return "step_id required for {type} reviews."

## Success Criteria

- [ ] Reviewer agent invoked (not self-performed)
- [ ] Original artifact file updated with review metadata
- [ ] Review includes severity levels and approval status (APPROVED, NEEDS_REVISION, REJECTED)

## Examples

### Example 1: Step review
```
/nw-review @nw-software-
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-review.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Review skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Review safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Review access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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