Claude Code Guide is a reference collection for configuring and using Claude Code, Anthropic’s command-line coding agent. Developers use it to learn commands, skills, agents, MCP, automation, security, integrations, and troubleshooting. Its catalogue add-ons provide many of the documented skills and agents.
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 agentmods add skills/zebbern/claude-code-guide/pipeline-blueprintnpx skills add zebbern/claude-code-guide --skill pipeline-blueprintgit clone --depth 1 https://github.com/zebbern/claude-code-guideWrote 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/zebbern/claude-code-guide/pipeline-blueprint)<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/pipeline-blueprint"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/pipeline-blueprint.svg" alt="Measured on agentmods" 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 | $0.00079 | $0.03833 |
| Opus 5 | $0.00039 | $0.01917 |
| Sonnet 5 | $0.00016 | $0.00767 |
| Haiku 4.5 | $0.00008 | $0.00383 |
Grade A, and why
pipeline-blueprint 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 6d 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 — 652 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI/CD Configuration Best Practices
This skill provides CI/CD pipeline templates and best practices for GitHub Actions and GitLab CI. It recommends configurations based on project type, helping teams quickly set up reliable, secure, and efficient pipelines.
How to Use
When a user describes their project (language, framework, deployment target), recommend the most appropriate pipeline template below. Adapt stages, caching strategies, and deployment steps to match their stack.
General Best Practices
Pipeline Design Principles
- Fail fast: Run linting and unit tests before expensive integration or E2E tests.
- Cache aggressively: Cache dependency directories (
node_modules,.pip_cache,.m2,.gradle) to speed up builds. - Pin versions: Pin CI runner images, tool versions, and action versions to SHA or exact tags — never use
latest. - Least privilege: Use minimal permissions for tokens and credentials. Prefer OIDC over long-lived secrets where supported.
- Parallelize: Split test suites across parallel jobs. Use matrix builds for multi-version testing.
- Immutable artifacts: Build once, promote the same artifact through staging → production.
- Branch protection: Require CI to pass before merging. Use status checks on the default branch.
Security Checklist
- Never hardcode secrets in pipeline files; use the platform's secret management (GitHub Secrets / GitLab CI Variables).
- Audit third-party actions/images before use. Prefer official or verified sources.
- Enable dependency scanning (Dependabot, GitLab Dependency Scanning) and SAST where possible.
- Restrict who can trigger production deployments.
- Rotate secrets on a regular cadence.
Project Type Templates
1. Frontend (React / Vue / Angular / Static Sites)
Key stages: Install → Lint → Test → Build → Deploy
GitHub Actions
name: Frontend CI/CD
on:
push:
branches: [main]
pull_request:
branches: [main]
permissions:
contents: read
jobs:
ci:
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: npm
- run: npm ci
- run: npm run lint
- run: npm test -- --coverage
- run: npm run build
- uses: actions/upload-artifact@v4
with:
name: dist
path: dist/
deploy:
needs: ci
if: github.ref == 'refs/heads/main' && github.event_name == 'push'
runs-on: ubuntu-22.04
environment: production
steps:
- uses: actions/download-artifact@v4
with:
name: dist
path: dist/
# Replace with your deployment step (e.g., S3 sync, Cloudflare Pages, Vercel)
- name: Deploy
run: echo "Add your deployment command here"
What ships with it
1 file 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.
- 6d ago First seen · 652 lines · 79 tokens per session scan A 54e1ca01d92d
pipeline-blueprint is a skill published in the GitHub repository zebbern/claude-code-guide (4,600 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 3,833 once invoked, about $0.0004 per session on Opus 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
ci-cd-pipeline-builder
../../../engineering/skills/ci-cd-pipeline-builder/SKILL.md.
cdb-scan
Map this codebase into project memory — a code graph of every symbol and how they connect, plus a written profile of stack, layout, conventions and workflows. Re-run any time to refresh both in place. Use when memory is newly installed on an existing project, or when the project has changed enough that the stored map…
devops-cloud
DevOps, cloud infrastructure, and platform engineering. Use when working with AWS, GCP, Azure, Kubernetes, Terraform, CI/CD pipelines, or infrastructure as code.
mckinsey-consultant
McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。.
cicd-security
CI/CD pipeline security hunting — GitHub Actions workflow injection, secret exfiltration, self-hosted runner poisoning, dependency confusion, OIDC token theft, and supply chain attacks. Covers sisakulint scanning, manual workflow analysis, and chaining CI/CD bugs into critical findings. Use when a target has public…
ci-cd
Workflow for creating a complete CI/CD pipeline. Use when the user needs to set up or modify CI/CD pipelines.