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 skills add zebbern/claude-code-guide --skill cigit 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/ci)<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/ci"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/ci/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/zebbern/claude-code-guide/ci"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00048 | $0.00552 |
| Opus 5.5 | $0.00019 | $0.00221 |
| Sonnet 5.5 | $0.00010 | $0.00110 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
playwright-ci 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- playwright-ci — 100% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playwright CI/CD
Ship reliable tests in every pipeline — CI-specific patterns for speed, stability, and actionable reports.
9 guides covering CI/CD setup, parallel execution, containerized runs, reporting, and infrastructure patterns for all major CI providers.
Golden Rules
retries: 2in CI only — surface flakiness in pipelines, not locallytraces: 'on-first-retry'— capture rich debugging artifacts without slowing every run- Shard across runners —
--shard=N/Msplits tests evenly; scale horizontally, not vertically - Cache browser binaries —
~/.cache/ms-playwrightkeyed on Playwright version - Upload artifacts on failure — traces, screenshots, and HTML reports as CI artifacts
- Use the official Docker image —
mcr.microsoft.com/playwright:v*has all OS deps pre-installed - Global setup for auth — run login once in
globalSetup, reusestorageStateacross workers - Fail fast, debug later — keep CI runs short; use trace viewer and HTML reports to investigate
Guide Index
CI Providers
| Provider | Guide |
|---|---|
| GitHub Actions | ci-github-actions.md |
| GitLab CI | ci-gitlab.md |
| CircleCI / Azure DevOps / Jenkins | ci-other.md |
Execution & Scaling
| Topic | Guide |
|---|---|
| Parallel execution & sharding | parallel-and-sharding.md |
| Docker & containers | docker-and-containers.md |
| Multi-project config | projects-and-dependencies.md |
What ships with it
9 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.
- 1mo ago First seen · 48 lines · 48 tokens per session scan A f81872558704
playwright-ci is a skill published in the GitHub repository zebbern/claude-code-guide (4,667 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 552 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 2026-08-30.
Other skills, from other repositories
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Use when reviewing CI coverage, automated checks, or test strategy related to Implement end-to-end testing. Focus on whether the rule is continuously verified, not just documented.
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mirrord-chaos
Help users chaos test their app with mirrord: inject artificial latency or connection errors into a mirrord session's outgoing traffic via per-session chaos rules managed with the mirrord chaos CLI. Use when a user wants to add latency or delay to outgoing connections or a dependency (e.g. a slow database), simulate…
playwright-testing
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azure-microsoft-playwright-testing-ts
Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipeline...
allium
Give your AI agents something more useful than a prompt. Velocity through clarity.