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Regulatory Compliance

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cbrock84
regulatory-compliance

Identifies which regulations apply and builds the program that keeps you inside them — obligation mapping, controls, monitoring, and responding to regulators. Use this to work out what applies to your business, stand up a compliance program, prepare for a regulatory exam or certification, respond to a finding, or assess exposure before entering a new market.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameregulatory-compliance
Stars
2K
Forks
316
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Regulatory Compliance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cbrock84/headcount/tree/main/plugins/legal-risk/skills/regulatory-compliance
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/legal-risk/skills/regulatory-compliance .claude/skills/regulatory-compliance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Regulatory Compliance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Regulatory Compliance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Regulatory Compliance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Regulatory compliance

Compliance failures are rarely defiance. They are almost always an obligation nobody knew applied, in a jurisdiction nobody was watching, discovered by someone external.

This structures the work and names what to ask. Which regulations apply, and what they require, are legal determinations that vary by jurisdiction and change — they belong with qualified counsel. Nothing here substitutes for that.

Start with an obligation map, not a framework

The first question is not "are we SOC 2 compliant" but "what are we actually obliged to do, by whom, and what happens if we do not." Build the map from facts about the business:

  • What you sell, and to whom. Selling to regulated customers pulls their obligations onto you through contract even when the regulation does not reach you directly.
  • What data you hold. Personal data, health data, payment data and children's data each carry distinct regimes — see legal-risk:privacy-and-data-protection.
  • Where you operate and where your customers are. Obligations follow the customer more often than companies expect.
  • How you are funded and structured. Public, regulated, or government-adjacent adds regimes.

Distinguish three things that get conflated: law you must follow, certifications you choose to obtain commercially, and contractual commitments you signed. Only the first carries state enforcement; all three carry consequences.

Certifications are evidence, not compliance

SOC 2, ISO 27001 and their equivalents demonstrate that controls exist and operate. They do not establish that you meet any legal obligation, and a clean report is not a defense to a regulator.

Where they earn their cost is commercially — an enterprise prospect makes the certification a condition of the deal, and the certification is what unblocks it. Scope them to what the market asks for rather than to everything, since scope drives cost more than any other decision.

The program is monitoring, not documentation

A compliance program that produces policies and stops is a shelf. What makes it real:

  • An owner per obligation — a named person, not a department.
  • Controls that produce evidence as a by-product of the work, rather than evidence assembled before an audit. See finance:internal-controls-and-audit for the control design pattern.
  • Monitoring that would detect failure before an external party does, with the frequency matched to how fast the obligation can be breached.
  • Horizon scanning. Regulation changes; a map built once is wrong within a year.

When a regulator arrives

Respond promptly, accurately, and narrowly — answer what was asked. Route everything through counsel before it goes out, preserve records from the moment you are aware, and never let an informal conversation become an undocumented commitment.

Findings get root-caused like any other failure. A remediation that consists of retraining people on a process that made the failure easy will produce the same finding next cycle.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Tooling

Compliance automation — Vanta, Drata, Secureframe, Keel GRC, and similar — collects evidence continuously and maps one control across several frameworks. It earns its cost on the second audit far more often than the first.

Policy and attestation lives in those same tools, or in the HRIS, or in Confluence. What matters is that a policy carries a version, an owner, and a record of who acknowledged it.

Never

  • Treat a certification as evidence of legal compliance.
  • Build a compliance program without a named owner per obligation.
  • Assemble control evidence retrospectively for an audit.
  • Answer a regulator without counsel reviewing the response.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Regulatory Compliance AI skill do?

Identifies which regulations apply and builds the program that keeps you inside them — obligation mapping, controls, monitoring, and responding to regulators. Use this to work out what applies to your business, stand up a compliance program, prepare for a regulatory exam or certification, respond to a finding, or assess exposure before entering a new market.

Why use Regulatory Compliance on TypingMind?

Because you install it once and use it with any model. Regulatory Compliance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Regulatory Compliance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/legal-risk/skills/regulatory-compliance. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Regulatory Compliance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Regulatory Compliance?

As many as you like. As long as a model supports skills, you can use Regulatory Compliance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Regulatory Compliance AI skill free?

Yes. It is published on GitHub by cbrock84 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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