Atlas / Skills / nwave-ai / Nw Deployment Strategies

Nw Deployment StrategiesSAFE

skills/nwave-ai/nw-deployment-strategies

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-deployment-strategies
description: Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see `cicd-and-deployment` skill.
user-invocable: false
disable-model-invocation: true
---

# Deployment Strategies — Rollback, Risk, and Validation

For deployment strategy patterns (canary, blue-green, rolling, progressive delivery), see `cicd-and-deployment` skill. This skill focuses on operational concerns: validation, rollback, risk, and post-deployment.

## Pre-Deployment Validation

Before any deployment, validate:
- Deployment scripts tested in staging | Database migrations tested with rollback scripts
- Configuration management consistent across environments | Health checks and service discovery configured
- Monitoring and alerting systems prepared | Backup and disaster recovery procedures validated

## Rollback Procedures

### Design Rollback First
Every deployment plan starts with the rollback section:
1. **Database rollback**: migration revert scripts tested and verified
2. **Application rollback**: previous version tagged and deployable
3. **Configuration rollback**: previous config snapshots available
4. **Traffic rollback**: load balancer / feature flag kill switch ready
5. **Data rollback**: data consistency plan for partial rollback scenarios

### Automated Rollback Triggers
Configure automatic rollback when:
- Error rate exceeds baseline by >2x | P95 latency exceeds SLA threshold
- Health check failures exceed threshold (e.g., 3 consecutive) | Business metric anomaly detected (e.g., conversion drop >10%)

### Manual Rollback Decision Criteria
Stakeholder-reported functional issues | Security vulnerability discovered post-deploy | Data integrity concerns | Performance degradation below acceptable levels.

## Risk Assessment

### Technical Risks
Integration failure with downstream services | Performance degradation under production load | Data migration integrity issues | Security vulnerabilities introduced.

### Business Risks
User adoption challenges | Business process disruption | Stakeholder expectation misalignment.

### Operational Risks
Infrastructure capacity limitations | Third-party dependency failures | Team availability for incident response.

### Risk Mitigation Checklist
- [ ] Rollback procedure designed and tested
- [ ] Monitoring dashboards configured for deployment
- [ ] On-call team notified of deployment window
- [ ] Feature flags configured for gradual rollout
- [ ] Communication plan for stakeholders prepared
- [ ] Incident response runbook updated

## Post-Deployment Validation

### Production Smoke Tests
Critical user paths validated | Integration points tested with real external systems | Performance validated under production load | Security controls verified | Data integrity confirmed.

### Monitoring Validation
Application performance metrics collecting | Error tracking and alerting active | Business metric dashboards updated | Infrastructure monitoring nominal.
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-deployment-strategies.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 Deployment Strategies skill do?

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

Is Nw Deployment Strategies 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 Deployment Strategies 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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