Atlas / Skills / nwave-ai / Nw Cicd And Deployment

Nw Cicd And DeploymentSAFE

skills/nwave-ai/nw-cicd-and-deployment

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-cicd-and-deployment
description: CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
user-invocable: false
disable-model-invocation: true
---

# CI/CD Pipeline Design and Deployment Strategies

## Local Quality Gates

Catch issues at the developer's machine before they reach CI. Local gates mirror the remote commit stage for fast feedback (seconds vs minutes).

### Gate Taxonomy

| Gate | Trigger | Checks | Tools |
|------|---------|--------|-------|
| Pre-commit | `git commit` | Formatting, linting, unit tests, secrets scan | pre-commit, husky, lefthook |
| Pre-push | `git push` | Integration tests, acceptance tests, coverage threshold | pre-commit (push stage), git hooks |
| Local CI | Manual | Full pipeline locally | act (GitHub Actions), gitlab-runner exec |

### Design Principles

- **Mirror, not duplicate**: local gates run the same checks as the remote commit stage, not additional ones. Keeps developer experience consistent with CI.
- **Fast by default**: pre-commit gates target < 30 seconds. Move slow checks (integration, acceptance) to pre-push.
- **Escapable with audit trail**: allow `--no-verify` for emergencies but log skips. CI remains the authoritative gate.
- **Framework selection**: prefer `pre-commit` (Python ecosystem) or `lefthook` (polyglot, fast parallel execution) over raw git hooks. Husky for JS/TS-heavy projects.

### Hook Stage Assignment

```
pre-commit (< 30s):     formatting | linting | unit tests (fast subset) | secrets scan
pre-push   (< 5 min):   full unit suite | integration tests | coverage check | type checking
```

## Pipeline Stages

### Commit Stage (target: < 10 minutes)
Compile/build | Run unit tests (fast, isolated) | Static code analysis (linting, formatting) | Security scanning (SAST, secrets detection) | Generate build artifacts.
Quality gates: build success | 100% unit test pass rate | coverage threshold (e.g., > 80%) | no critical vulnerabilities | no secrets in code.

### Acceptance Stage (target: < 30 minutes)
Deploy to test environment | Run acceptance/integration/contract tests | Security scanning (DAST).
Quality gates: 100% acceptance/integration pass rate | no high/critical security findings | API contracts validated.

### Capacity Stage (target: < 60 minutes, can run parallel)
Performance, load, and stress testing | Chaos engineering experiments.
Quality gates: performance within SLO thresholds | load test pass (expected traffic + margin) | resilience under failure.

### Production Stage
Progressive deployment (canary/blue-green) | Health checks and smoke tests | SLO monitoring during rollout | Automatic rollback on degradation.
Quality gates: health checks pass | SLOs maintained | no error rate increase | latency within bounds.

## Quality Gate Classification

Every quality gate has a category (where it runs), a type (what happens on failure), and a scope (what it protects).

### Gate Taxonomy

| Category | Stage | Type | Examples |
|----------|-------|------|----------|
| Local | Pre-commit, pre-push | Blocking (developer) | Format, lint, unit tests, secrets scan |
| PR | Pull request | Blocking (merge) | Status checks, review approvals, coverage diff |
| CI | Commit stage | Blocking (pipeline) | Build, unit tests, SAST, coverage threshold |
| CI | Acceptance stage | Blocking (pipeline) | Integration, acceptance, contract tests, DAST |
| Deploy | Environment promotion | Blocking (approval) | Manual approval, change advisory board |
| Deploy | Canary/progressive | Automatic (rollback) | Error rate, latency, SLO breach |
| Production | Post-deploy | Advisory (monitoring) | Smoke tests, SLO monitoring window, business metrics |

### Gate Types

- **Blocking**: pipeline halts on failure. Merge/deploy/promotion is prevented until resolved.
- **Automatic (rollback)**: no human intervention -- system rolls back on threshold breach. Requires pre-defined thresholds and rollback automation.
- **Advisory**: failure is reported but does not block. Used for post-deploy monitoring where rollback is a separate decision.

### Design Checklist

When designing quality gates for a pipeline, verify:
1. Every remote CI gate has a local equivalent (pre-commit or pre-push)
2. PR gates include both automated checks (status checks) and human review (approvals)
3. Deployment gates distinguish blocking (promotion) from automatic (canary rollback)
4. Post-deploy gates have clear escalation paths (advisory -> manual rollback decision)
5. Gate thresholds are documented and versioned (not hardcoded in pipeline YAML)

## GitHub Actions Patterns

### Workflow Structure
Triggers: push to main/develop | pull_request | release tags | manual workflow_dispatch.
Jobs flow: build -> security -> deploy_staging -> deploy_production. Each with appropriate `needs` dependencies and environment gates.

### Quality Gate Pattern
```yaml
- name: Quality Gate
  run: |
    COVERAGE=$(jq '.totals.percent_covered' coverage.json)
    if (( $(echo "$COVERAGE < 80" | bc -l) )); then
      echo "Coverage $COVERAGE% is below 80% threshold"
      exit 1
    fi
```

### Caching Pattern
```yaml
- uses: actions/cache@v4
  with:
    path: ~/.cache/pip
    key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
    restore-keys: |
      ${{ runner.os }}-pip-
```

### Matrix Testing Pattern
```yaml
strategy:
  matrix:
    python-version: ['3.10', '3.11', '3.12']
    os: [ubuntu-latest, macos-latest]
```

## Deployment Strategies

### Rolling Deployment
Gradual replacement of instances. Kubernetes config: `type: RollingUpdate`, `maxSurge: 25%`, `maxUnavailable: 0`.
- Pros: zero downtime | simple | efficient resources
- Cons: slow rollback | mixed versions during deployment
- Use when: stateless services | no breaking API changes | low-risk changes

### Blue-Green Deployment
Two identical environments, instant switch: Blue (current) serves traffic -> Deploy new t
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-cicd-and-deployment.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 Cicd And Deployment skill do?

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

Is Nw Cicd And Deployment 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 Cicd And Deployment 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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