Atlas / Skills / nwave-ai / Nw Devops

Nw DevopsSAFE

skills/nwave-ai/nw-devops

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-devops
description: "Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature."
user-invocable: true
argument-hint: '[deployment-target] - Optional: --environment=[staging|production] --validation=[full|smoke]'
---

# NW-DEVOPS: Platform Readiness and Infrastructure Design

**Wave**: DEVOPS (wave 4 of 6) | **Agent**: Apex (nw-platform-architect) | **Command**: `/nw-devops`

## Overview

Execute DEVOPS wave: platform readiness|CI/CD pipeline setup|observability design|infrastructure preparation. Positioned between DESIGN and DISTILL (DISCOVER > DISCUSS > SPIKE > DESIGN > DEVOPS > DISTILL > DELIVER), ensures infrastructure is ready before acceptance tests and code.

Apex translates DESIGN architecture decisions into operational infrastructure: CI/CD pipelines|logging|monitoring|alerting|observability.

## Output Tiers (per D2)

Provenance: feature `lean-wave-documentation` — D2 (schema-typed sections), D10 (one-line expansion descriptions). Tier-1 [REF] sections (always emitted) + Tier-2 EXPANSION CATALOG items (lazy, on-demand) are the two output bands. Full contract: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

### Tier-1 [REF] — always emitted

Under `## Wave: DEVOPS / [REF] <Section>` headings:

- Environment matrix — table of target environments with platform + preconditions
- CI/CD pipeline outline — stage list with trigger rules per branch
- Monitoring contracts — KPI-to-instrument mapping (one row per outcome KPI)
- Deployment strategy — chosen strategy + rollback contract (one paragraph)
- Mutation testing strategy — selected mode (per-feature/nightly-delta/pre-release/disabled)
- Observability stack — chosen tools per signal class (logs/metrics/traces)
- Branching strategy — selected model + CI trigger alignment
- Coexistence matrix — tools that must continue to work alongside deployment
- Pre-requisites — DESIGN constraints the platform must satisfy

### Tier-2 EXPANSION CATALOG — lazy, on-demand (per D10)

Rendered under `## Wave: DEVOPS / [WHY|HOW] <Section>` only when requested via `--expand <id>` (DDD-2), the broad wave-end menu (`expansion_prompt = "ask"`), a declared trigger under `expansion_prompt = "ask-intelligent"`, `mode = "full"` auto-expansion, or an ad-hoc user request mid-session.

| Expansion ID | Tier label | One-line description |
|---|---|---|
| `infra-cost-analysis` | [WHY] | Per-environment monthly cost estimate with vendor pricing assumptions |
| `alternative-deploy-targets` | [WHY] | Cloud/on-prem/hybrid options weighed and rejected with one-paragraph reason |
| `observability-deep-dive` | [HOW] | Detailed metric/log/trace schemas, alert thresholds, dashboard layouts |
| `runbook-drafts` | [HOW] | Incident response runbooks for the top failure modes |
| `kpi-instrumentation-recipes` | [HOW] | Per-KPI data collection recipe (event names, log fields, metric labels) |
| `ci-pipeline-yaml` | [HOW] | Full CI/CD pipeline YAML with comments per stage |
| `disaster-recovery-plan` | [HOW] | Backup, restore, and DR procedures with RPO/RTO targets |
| `expansion-catalog-rationale` | [WHY] | Why this set of expansions, why these defaults, why D10 enforces one-line descriptions |

## Density resolution (per D12)

Call `resolve_density(global_config)` from `scripts/shared/density_config.py` after reading `~/.nwave/global-config.json` (missing/malformed = empty dict). Returns `mode` (`"lean"` | `"full"`) + `expansion_prompt` (`"ask"` | `"ask-intelligent"` | `"always-skip"` | `"always-expand"` | `"smart"`) per the D12 cascade (resolver-internal, DDD-5 — do NOT replicate locally). Branch on `density.mode` for what to emit; branch on `density.expansion_prompt` at wave end for menu behaviour. DEVOPS declares no `ask-intelligent` triggers: emit no menu and the shared-contract no-trigger skip event; do not invent triggers. Full cascade detail, branch semantics, ad-hoc override workflow: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

## Telemetry (per D4 + DDD-6)

Every expansion choice emits a `DocumentationDensityEvent` (dataclass at `src/des/domain/telemetry/documentation_density_event.py`) via `event.to_audit_event()` → `JsonlAuditLogWriter().log_event(...)`. Schema fields per D4: `feature_id`, `wave`, `expansion_id`, `choice`, `timestamp`. For this wave the schema declares `"wave": "DEVOPS"`. Use helper `scripts/shared/telemetry.py:write_density_event(...)` — do NOT write JSONL directly.

Wave-specific signal: DISTILL consuming a lean DEVOPS environment matrix — downstream `--expand` requests for runbook drafts or alternative deploy targets indicate the `[REF]` baseline was insufficient. Full emission rules: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

## Interactive Decision Points

Before proceeding, the orchestrator asks:

### Decision 1: Deployment Target
**Question**: What is the deployment target?
**Options**:
1. Cloud-native -- AWS, GCP, Azure managed services
2. On-premise -- self-hosted infrastructure
3. Hybrid -- mix of cloud and on-premise
4. Edge -- distributed edge deployment
5. Other -- user provides custom input

### Decision 2: Container Orchestration
**Question**: Container orchestration approach?
**Options**:
1. Kubernetes -- full orchestration
2. Docker Compose -- lightweight container management
3. Serverless -- function-as-a-service, no containers
4. None -- bare metal or VM-based deployment

### Decision 3: CI/CD Platform
**Question**: CI/CD platform preference?
**Options**:
1. GitHub Actions
2. GitLab CI
3. Jenkins
4. Azure DevOps
5. Other -- user provides custom input

### Decision 4: Existing Infrastructure
**Question**: Is there existing infrastructure or CI/CD to integrate with?
**Options**:
1. Yes, both -- describe existing infrastructure and CI/CD (user provides details)
2. Existing infra only -- infrastructure exists, CI/CD is greenfield
3. Existing CI/CD only -- CI/CD exists, infrastructure is greenfield
4. No -- greenfie
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-devops.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 Devops skill do?

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

Is Nw Devops 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 Devops 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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