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 regulatory-audit-generatorgit 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/regulatory-audit-generator)<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/regulatory-audit-generator"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/regulatory-audit-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/zebbern/claude-code-guide/regulatory-audit-generator"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/regulatory-audit-generator.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 | $0.00085 | $0.02790 |
| Opus 5.5 | $0.00034 | $0.01116 |
| Sonnet 5.5 | $0.00017 | $0.00558 |
| Haiku 4.5 | $0.00009 | $0.00279 |
Grade A, and why
regulatory-audit-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 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.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Audit Generator — Business Scenario Compliance Checklist Builder
Identifies applicable laws and regulations based on the user's business scenario description, and outputs a structured compliance checklist covering major regulations such as GDPR, PIPL (Personal Information Protection Law), Advertising Law, Cybersecurity Law, and Data Security Law.
Quick Start
Users simply describe their business scenario, and the Agent will:
- Identify applicable regulations: Determine which laws and regulations apply based on the business scenario
- Generate a checklist: Output a structured list of check items
- Label risk levels: Prioritize by severity, marking high/medium/low risk
- Provide remediation recommendations: Offer actionable remediation guidance for each compliance risk
Users just need to say:
"We're launching a user profiling feature — help me create a compliance checklist."
The Agent will guide the user to provide necessary information, then output a complete compliance checklist.
1. Supported Regulatory Frameworks
Core Regulations
| Regulation | Abbreviation | Scope | Key Focus Areas |
|---|---|---|---|
| Personal Information Protection Law | PIPL | Processing personal information within China | Informed consent, data minimization, cross-border data transfer |
| General Data Protection Regulation | GDPR | Involving EU user data | Lawful basis, data subject rights, DPO, DPIA |
| Data Security Law | DSL | Data processing activities within China | Data classification & grading, security assessment, important data export |
| Cybersecurity Law | CSL | Network operators | Multi-Level Protection Scheme (MLPS), log retention, security incident reporting |
| Advertising Law | — | Advertising publishing and operations | Prohibited superlative claims, false advertising, medical advertising |
| E-Commerce Law | — | E-commerce operators | Information disclosure, user reviews, bundled sales |
| Anti-Unfair Competition Law | — | Market business activities | Commercial bribery, false advertising, trade secret infringement |
| Consumer Protection Law | — | Consumer rights related | Right to know, fair trade rights, personal information |
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.
- 1mo ago First seen · 228 lines · 85 tokens per session scan A e0416a7d054d
regulatory-audit-generator is a skill published in the GitHub repository zebbern/claude-code-guide (4,678 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 2,790 once invoked, about $0.0003 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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