Nw Por Review CriteriaSAFE
AI agents that guide you from idea to working code, with you in control at every step.
Overview
AI agents that guide you from idea to working code, with you in control at every step.
1a864ec81cdeOBSERVED · 2026-10-14Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
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-por-review-criteria
description: Review dimensions and bug patterns for journey artifact reviews
user-invocable: false
disable-model-invocation: true
---
# Review Criteria Skill
Domain knowledge for product-owner-reviewer (Eclipse). Covers journey coherence, emotional arcs, shared artifacts, example data quality, CLI UX patterns.
## Review Dimensions
### Journey Coherence
Validate complete flow with no gaps.
Checks: all steps start-to-goal defined | no orphan steps | no dead ends | decision branches lead somewhere | error paths guide to recovery
Severity: critical = missing main flow steps / dead ends | high = orphan steps | medium = ambiguous decisions | low = minor clarity
### Emotional Arc
Validate emotional design quality.
Checks: arc defined (start/middle/end) | all steps annotated | no jarring transitions | confidence builds progressively | error states guide not frustrate
Severity: critical = no arc / major jarring transitions | high = missing key annotations | medium = confidence doesn't build | low = minor polish
### Shared Artifact Tracking
Validate ${variable} sources and consistency.
Checks: all ${variables} have documented source | single source of truth | all consumers listed | integration risks assessed | validation methods specified
Severity: critical = undocumented ${variables} / multiple sources | high = missing consumers / unassessed risks | medium = incomplete validation | low = minor consumer docs
### Example Data Quality
Key review skill -- analyze data for integration gaps.
Checks: realistic not generic | reveals integration dependencies | catches version mismatches | catches path inconsistencies | consistent across steps
Severity: critical = generic placeholders hide issues | high = inconsistent across steps | medium = doesn't reveal deps | low = could be more realistic
Apply: 1) trace ${version} through all steps -- same? 2) compare ${install_path} step 2 vs 3 -- match? 3) does data show actual integration points?
Generic "v1.0.0" or "/path/to/install" hides bugs. Realistic "v1.2.86" from "pyproject.toml" reveals bugs.
### CLI UX Patterns
Checks: command vocabulary consistent | help available | error messages guide to resolution | progressive disclosure respected
Severity: critical = inconsistent commands | high = no error recovery guidance | medium = missing progressive disclosure | low = minor vocabulary
## Four Bug Patterns
### Pattern 1: Version Mismatch
Multiple version sources. Trace ${version} through all steps -- same source?
```
Step 1: v${version} from pyproject.toml
Step 2: v${version} from version.txt <-- MISMATCH
```
### Pattern 2: Hardcoded URLs
URLs without canonical source. For each URL: "where is this defined?"
```
Install: git+https://github.com/org/repo
<-- Where is this URL canonically defined?
```
### Pattern 3: Path Inconsistency
Paths from different sources. Trace ${path} -- same source?
```
Install to: ${install_path} from config
Uninstall from: ~/.claude/agents/nw/ <-- HARDCODED
```
### Pattern 4: Missing Commands
CLI commands without slash equivalents. Check both contexts exist.
```
Terminal: crafter run
Claude Code: /nw-execute <-- EXISTS?
```
## Review Output Schema
```yaml
review_id: "{timestamp}"
reviewer: "nw-product-owner-reviewer (Eclipse)"
artifact_reviewed: "{file path}"
strengths:
- strength: "{Positive aspect}"
example: "{Specific evidence}"
issues_identified:
journey_coherence:
- issue: "{Description}"
severity: "critical|high|medium|low"
location: "{Where}"
recommendation: "{Fix}"
emotional_arc:
- issue: "{Description}"
severity: "critical|high|medium|low"
location: "{Where}"
recommendation: "{Fix}"
shared_artifacts:
- issue: "{Description}"
severity: "critical|high|medium|low"
artifact: "{Which ${variable}}"
recommendation: "{Fix}"
example_data:
- issue: "{Description}"
severity: "critical|high|medium|low"
data_point: "{Which data}"
integration_risk: "{What bug it might hide}"
recommendation: "{Fix}"
bug_patterns_detected:
- pattern: "version_mismatch|hardcoded_url|path_inconsistency|missing_command"
severity: "critical|high"
evidence: "{Finding}"
recommendation: "{Fix}"
recommendations:
critical: ["{Must fix before approval}"]
high: ["{Should fix before approval}"]
medium: ["{Fix in next iteration}"]
low: ["{Consider for polish}"]
approval_status: "approved|rejected_pending_revisions|conditionally_approved"
approval_conditions: "{If conditional, what must be done}"
```
## Approval Criteria
- **approved**: No critical, no high issues
- **conditionally_approved**: No critical, some high addressable quickly
- **rejected_pending_revisions**: Critical issues exist, or multiple highTrust 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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (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.
1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-por-review-criteria.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | 1a864ec81cde | SAFE | B | 89 | first audit |
Questions
What does the Nw Por Review Criteria skill do?
AI agents that guide you from idea to working code, with you in control at every step.
Is Nw Por Review Criteria 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 Por Review Criteria access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Nw Por Review Criteria work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
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.