Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skillsnpx agentmods add skills/ailabs-393/ai-labs-claude-skills/cicd-pipeline-generatorWrote 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/ailabs-393/ai-labs-claude-skills/cicd-pipeline-generator)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/cicd-pipeline-generator"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/cicd-pipeline-generator/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/ailabs-393/ai-labs-claude-skills/cicd-pipeline-generator"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/cicd-pipeline-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00091 | $0.02653 |
| Opus 5.5 | $0.00036 | $0.01061 |
| Sonnet 5.5 | $0.00018 | $0.00531 |
| Haiku 4.5 | $0.00009 | $0.00265 |
Grade A, and why
cicd-pipeline-generator 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 — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI/CD Pipeline Generator
Overview
Generate production-ready CI/CD pipeline configuration files for various platforms (GitHub Actions, GitLab CI, CircleCI, Jenkins). This skill provides templates and guidance for setting up automated workflows that handle linting, testing, building, and deployment for modern web applications, particularly Node.js/Next.js projects.
Core Capabilities
1. Platform Selection
Choose the appropriate CI/CD platform based on project requirements:
- GitHub Actions: Best for GitHub-hosted projects with native integration
- GitLab CI/CD: Ideal for GitLab repositories with complex pipeline needs
- CircleCI: Optimized for Docker workflows and fast build times
- Jenkins: Suitable for self-hosted, highly customizable environments
Refer to references/platform-comparison.md for detailed platform comparisons, pros/cons, and use case recommendations.
2. Pipeline Configuration Generation
Generate pipeline configs following these principles:
Pipeline Stages
Structure pipelines with these standard stages:
-
Install Dependencies
- Checkout code from repository
- Setup runtime environment (Node.js version)
- Restore cached dependencies
- Install dependencies with
npm ci - Cache dependencies for future runs
-
Lint
- Run ESLint for code quality
- Run TypeScript type checking
- Fail fast on linting errors
-
Test
- Execute unit tests
- Execute integration tests
- Generate code coverage reports
- Upload coverage to reporting services (Codecov, Coveralls)
-
Build
- Create production build
- Verify build succeeds
- Store build artifacts
-
Deploy
- Deploy to staging (develop branch)
- Deploy to production (main branch)
- Run post-deployment smoke tests
Caching Strategy
Implement effective caching to speed up builds:
# Cache node_modules based on package-lock.json
cache:
key: ${{ hashFiles('package-lock.json') }}
paths:
- node_modules/
- .npm/
What ships with it
5 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 · 408 lines · 91 tokens per session scan A 8e1ad445a81e
cicd-pipeline-generator is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (460 stars, last pushed 11mo ago), licensed MIT. It adds 91 tokens to every session and 2,653 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
chinese-git-workflow
A reference for configuring Git with Chinese code-hosting services such as Gitee, Coding.net, GitLab China, and CNB, including SSH, HTTPS, credentials, CI, and repository mirroring.
atmos-profiles
Atmos profiles: profile directories, --profile and ATMOSPROFILE activation, profile merge behavior, environment switching, and routing profile-specific auth/toolchain/config overrides.
webhook-management
Configure and validate CCAM webhook targets across supported chat, incident, automation, and generic providers. Use when listing provider requirements, creating or updating a target, scoping it to alert rules, sending a test notification, reviewing delivery history, or deleting a target.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
managing-github-actions-secrets
Creates and updates GitHub Actions secrets for PostHog workflows. Use when adding a new CI secret, rotating an existing secret, wiring a workflow to an API token, package registry credential, deploy key, or any value referenced via ${{ secrets. }} in .github/workflows/.
ci-fixer
CI failures - read error, minimal fix, verify.