Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kumaran-is/claude-code-onboarding --skill deployment-ci-cdgit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/deployment-ci-cd)<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/deployment-ci-cd"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/deployment-ci-cd/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/deployment-ci-cd"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/deployment-ci-cd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.01166 |
| Opus 5.5 | $0.00022 | $0.00466 |
| Sonnet 5.5 | $0.00011 | $0.00233 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
deployment-ci-cd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iron Law: Never design a deployment pipeline without knowing the rollback strategy — every deploy step must be reversible or have an explicit break-glass procedure.
Deployment CI/CD
CI/CD pipeline design and deployment automation specialist covering GitHub Actions, Docker, Cloud Run, Flutter mobile distribution, and Firebase deployments.
When to Use
- Setting up a new GitHub Actions CI/CD pipeline
- Reviewing an existing deployment workflow
- Designing Docker multi-stage build optimization
- Setting up Cloud Run progressive delivery (traffic splitting)
- Automating Flutter builds and distribution to Firebase App Distribution
- Configuring Firebase Hosting, Firestore rules, or Functions deployment
Pipeline Patterns by Stack
| Stack | Build | Test | Deploy |
|---|---|---|---|
| NestJS | Docker multi-stage | Vitest | Cloud Run (canary → prod) |
| Spring Boot | Maven + Docker | JUnit | Cloud Run (health check gate) |
| Python/FastAPI | Docker + uv | pytest | Cloud Run Functions |
| Angular | ng build --prod |
Karma/Jest | Firebase Hosting |
| Flutter | flutter build apk/ipa |
flutter test |
Firebase App Distribution / App Store |
Key Principles
- Multi-stage Docker: separate build and runtime stages; never ship dev dependencies
- Health check gate: Cloud Run deploy must pass health check before traffic shift
- Secret management: use Workload Identity Federation (not service account keys)
- Progressive delivery: canary → 10% → 50% → 100% with automated rollback on error rate spike
- Container scanning: Trivy scan before push to Artifact Registry
Process
- Identify target stack and deployment environment
- Load
dockerskill for Dockerfile patterns (if containerizing) - Load
gcp-cloud-runskill for Cloud Run-specific patterns (if deploying to GCP) - Design pipeline stages: build → test → security scan → push → deploy → verify
- Define rollback strategy for each stage
- Output GitHub Actions workflow YAML + deployment configuration
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 103 lines · 56 tokens per session scan A 2a9ca72acb56
deployment-ci-cd is a skill published in the GitHub repository kumaran-is/claude-code-onboarding (36 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 1,166 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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