Scale Governance
Writes an AI governance policy for the revenue org covering roles, operating model, risk and compliance, rules of use, security, model choice, bias, tooling, monitoring, transparency, and accountability, sized to the company's stage.
Part of SCALE: AI Program Kit. Get every file in the kit, plus the guide, in one place.
Where it came from
- Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Frameworks applied: Step 5. Evolve
Why it was chosen
It covers a job one of the eight revenue seats has to finish, and it states its process, decision rules, and output format clearly enough for an agent to follow.
How to use it
- 1.Copy the SKILL.md text below, or download the raw file.
- 2.Create a folder named exactly scale-governance in your agent's skills directory.
- 3.Save the file inside that folder as SKILL.md.
- 4.Ask the agent one of the trigger requests below.
- 5.Check the output against what you already know before it leaves your desk.
Install this skill
- For Claude Code, copy the command below into your terminal. It creates the skill folder and saves the file as SKILL.md.
- For another assistant that supports skills, download the file above and place it in a folder named
scale-governanceinside that assistant's skills directory. - Start a new conversation and ask for the job named on this page. Review the result before using it.
For the supporting files, download the full SCALE: AI Program Kit package too. The single-file command only installs SKILL.md.
mkdir -p "$HOME/.claude/skills/scale-governance" && curl -fL "https://www.therevenueaireport.com/agent-skills/scale-governance/SKILL.md" -o "$HOME/.claude/skills/scale-governance/SKILL.md"Ask it this
- AI policy
- governance
- what are the rules
The SKILL.md file
--- name: scale-governance description: Writes an AI governance policy for the revenue org covering roles, operating model, risk and compliance, rules of use, security, model choice, bias, tooling, monitoring, transparency, and accountability, sized to the company's stage. Use when the user says "AI policy", "governance", "what are the rules", "security for AI", "compliance", "risk register", or after scale-coe-charter. --- # scale-governance Produce `artifacts/scale-governance.md` and set `context/governance.md` to verified. Clear boundaries beat both micromanagement and "go have fun." ## Preflight (every run) 1. Confirm `GTM-AI-OS/` is accessible. If not: "I need access to your GTM-AI-OS folder. Select it in Cowork's folder picker, or run `os-install` from the core plugin." Stop until it is. 2. Read `CLAUDE.md`, `INDEX.md`, and the last 20 lines of `signals/log.md`. 3. Check the prerequisites below. For anything missing, ask the cold-start questions and offer: (a) run the earlier skill now, or (b) fast path: answer the questions and this skill writes a minimal version of the missing artifact marked `status: draft (fast path)`. 4. On finish, update the artifact row in `INDEX.md` and append one line to `signals/log.md`: `<date> | <skill> | <produced> | <human changed> | <open question>`. ## Prerequisites - `context/governance.md` at draft (from scale-guardrails) and `artifacts/scale-coe.md`. Cold-start: "Which of these apply: regulated industry, customer PII in your systems, existing security certifications (SOC 2, ISO), a legal team?" Continue. ## Step 1: Inherit If `~~docs` has an existing IT or security policy, read it and extend rather than duplicate. ## Step 2: The thirteen areas, sized Write a section for each, one paragraph for small orgs and a full policy for regulated ones: roles and responsibilities; operating model; risk and compliance; rules of use (what's allowed, what's not, what needs approval); security (data boundaries, tooling between users and models if needed); model management (which models, why, how updated); bias (demographic and informational); tools and monitoring; transparency (how an answer was produced must be inspectable); accountability; trustworthiness; responsibility; incident response. ## Step 3: Risk register Start it with the reversal triggers from `context/reversal-triggers.md` and the guardrails from Module 3. Add a row per deployed tool: risk, likelihood, impact, control, owner, review date. ## Step 4: Quality gates Define what gets reviewed before any AI output reaches a customer, a forecast, or a system of record. ## Step 5: Write Write the policy and the register. Update `context/governance.md` and `INDEX.md`. ## Hand off Say: "The OS is installed and governed. Now make it learn. Run `os-weekly-review` every week."
Common questions
- What does the Scale Governance skill do?
- Writes an AI governance policy for the revenue org covering roles, operating model, risk and compliance, rules of use, security, model choice, bias, tooling, monitoring, transparency, and accountability, sized to the company's stage.
- Where does the Scale Governance skill come from?
- Built by Jonathan Kvarfordt. Standalone bundle v0.2.. The source and included files are shown on this page and in the package download.
- Why was the Scale Governance skill chosen for this library?
- It covers a job one of the eight revenue seats has to finish, and it states its process, decision rules, and output format clearly enough for an agent to follow.
- When should the Scale Governance skill not be used?
- Use it only for the job named above. A skill applied outside its scope produces confident output on the wrong question.
- How do I install the Scale Governance SKILL.md file?
- Download the file, create a folder named exactly scale-governance inside your agent's skills directory, and save the file inside it as SKILL.md. The agent loads it when a request matches the description.
Raw file: https://www.therevenueaireport.com/agent-skills/scale-governance/SKILL.md. Plain-language skills with worked examples live in the Skills and Prompts library.
