Nw Tr 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 · 2026-10-14What 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-tr-review-criteria
description: Review dimensions and scoring for root cause analysis quality assessment
user-invocable: false
disable-model-invocation: true
---
# Troubleshooter Review Criteria
Review dimensions and scoring for root cause analysis quality assessment.
## Dimension 1: Causality Logic
Check each WHY-to-WHY link.
Pass: logical mechanism (not just correlation) | no skipped steps | alternatives considered/eliminated | chain reads coherently both directions
Failures: correlation assumed as causation | causal chain gaps | single-path tunnel vision (first plausible cause accepted)
Severity: Critical -- wrong root cause = ineffective fixes.
## Dimension 2: Evidence Quality
Verify findings grounded in observable data.
Pass: each WHY cites specific evidence (logs, metrics, config, repro steps) | evidence verifiable by third party | timeline supports causality | hypotheses marked unverified
Failures: "Probably because..." without data | vague references ("logs show issues") | mixing facts with speculation unlabeled
Severity: High -- unreliable analysis undermines trust.
## Dimension 3: Alternative Hypotheses
Verify competing explanations explored.
Pass: 2+ alternatives at WHY 1-3 | each pursued or eliminated with evidence | "why not" reasoning documented
Failures: stops at first plausible cause | alternatives mentioned but unevaluated | confirmation bias
Severity: High -- may miss actual root cause.
## Dimension 4: Five-WHY Depth
Verify analysis reaches fundamental causes.
Pass: each branch reaches WHY 5 (or justifies stopping with evidence) | final causes are actionable | causes explain symptoms when traced forward
Failures: stopping at WHY 2-3 | WHY 5 vague/philosophical not actionable | branches abandoned
Severity: High -- shallow analysis = band-aid fixes that recur.
## Dimension 5: Completeness and Coverage
Verify all symptoms accounted for.
Pass: all symptoms have causal branch | root causes collectively explain all | no orphan symptoms | cross-cause validation (no contradictions)
Failures: symptoms ignored | root causes explain primary but not secondary | contradictory causes without reconciliation
Severity: Medium -- incomplete analysis leaves unaddressed failures.
## Dimension 6: Solution Traceability
Verify solutions map to root causes.
Pass: every root cause has solution | immediate mitigations vs permanent fixes distinguished | no orphan solutions | prevention addresses systemic factors
Failures: solutions address symptoms not causes | root cause without fix | generic recommendations untied to findings
Severity: Medium -- untraceable solutions are guesses.
## Review Output Format
```yaml
review_id: "rca_rev_{timestamp}"
reviewer: "nw-troubleshooter-reviewer"
dimensions:
causality_logic:
score: 0-10
issues: [{issue, severity, recommendation}]
evidence_quality:
score: 0-10
issues: [{issue, severity, recommendation}]
alternative_hypotheses:
score: 0-10
issues: [{issue, severity, recommendation}]
five_why_depth:
score: 0-10
issues: [{issue, severity, recommendation}]
completeness:
score: 0-10
issues: [{issue, severity, recommendation}]
solution_traceability:
score: 0-10
issues: [{issue, severity, recommendation}]
overall_score: "average of dimension scores"
approval_status: "approved | revisions_required"
summary: "1-2 sentence assessment"
```
## Scoring Guide
- **9-10**: Exemplary. No issues or minor style only.
- **7-8**: Good. Minor issues not affecting conclusions.
- **5-6**: Adequate. Issues weaken but don't invalidate.
- **3-4**: Poor. Issues may lead to incorrect conclusions.
- **1-2**: Failing. Fundamental flaws invalidate analysis.
**Approval threshold**: overall >= 7 and no dimension below 5.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.
| 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-tr-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 Tr Review Criteria skill do?
AI agents that guide you from idea to working code, with you in control at every step.
Is Nw Tr 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 Tr Review Criteria 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.