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ai-governance

ai-governance is a skill for Claude Code, Codex from magnus919/agent-skills. It costs 161 tokens per session (3,441 once invoked), scanned A, original, MIT.

A guide for setting up and running an organization's system for controlling AI risks and responsibilities. It covers decision rights, accountability, risk levels, lifecycle checks, fairness, privacy, security, transparency, and oversight.

In plain words
What is it for?
Use it to create AI policies and operating models, classify use-case risk, assign owners, define approval gates from idea through retirement, and plan monitoring or board reporting.
Why use it?
It helps organizations decide who is responsible for an AI system, what evidence is needed before each stage, and what risks are acceptable. It separates governance work from legal interpretation, data-platform engineering, and security implementation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 176repo +5 changed 12d ago A scan SkillSpector: pass 161 tokens original MIT

Good fit Use it to create AI policies and operating models, classify use-case risk, assign owners, define approval gates from idea through retirement, and plan monitoring or board reporting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magnus919/agent-skills/ai-governance
View source ↗ magnus919/agent-skills
Install

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.

Any agent
npx skills add magnus919/agent-skills --skill ai-governance
Clone the repo
git clone --depth 1 https://github.com/magnus919/agent-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin ai-governance — /plugin install ai-governance after adding the marketplace above.

Wrote 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.

agentmods badge for ai-governance

README.md
[![agentmods](https://agentmods.dev/badge/skills/magnus919/agent-skills/ai-governance/github.svg)](https://agentmods.dev/skills/magnus919/agent-skills/ai-governance)
Your own site
<a href="https://agentmods.dev/skills/magnus919/agent-skills/ai-governance"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/ai-governance/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.

agentmods 80×15 button for ai-governance

Your own site · 80×15
<a href="https://agentmods.dev/skills/magnus919/agent-skills/ai-governance"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/ai-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 161 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,441 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00161 $0.03441
Opus 5.5 $0.00064 $0.01376
Sonnet 5.5 $0.00032 $0.00688
Haiku 4.5 $0.00016 $0.00344

Measured 12d ago against content hash 389a6e6c52a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-governance 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 12d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/governance-maturity.py, scripts/test_governance_maturity.py, scripts/test_use_case_risk_tier.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ai-governance/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Governance

AI governance is the system an organization uses to decide, before a model is built and while it runs, who is accountable for an AI system, what risk it is allowed to carry, what evidence must gate each lifecycle stage, and how the organization reports and audits that posture. This skill teaches an agent to reason about and operate that system: it is a methodology skill, not a tool manual and not legal or security advice.

Scope: What This Skill Owns

You own You don't own
Governance principles and how they translate into policy and controls Drafting or opining on legal interpretation of a regulation
The governance operating model: councils, stewards, decision rights, RACI, federated vs. centralized Data-platform mechanics, pipelines, and lineage tooling internals
Risk frameworks: NIST AI RMF, ISO/IEC 42001 & 23894, model-risk tiering, risk registers Implementing authentication, authorization, or vulnerability fixes
Lifecycle stage gates across ideation, build, evaluate, deploy, monitor, retire CI/CD pipeline and deployment-gate configuration
Cross-cutting 6L-G governance loop: strategy, impact, implementation, acceptance, operations, learning Treating an author-developed framework as a regulatory or standards requirement
Fairness, bias, transparency, explainability, and accountability controls Product portfolio/roadmap governance cadences
Privacy and data governance for training and operational data Capital allocation, org structure, or M&A governance
GxP AI governance overlay: ALCOA+, data integrity, electronic records, risk-based assurance, QMS interfaces Legal applicability determinations, validation protocols, SOPs, or quality-system operation
LLM/agent safety: prompt injection, exposure ladders, tool authorization, memory, egress, red-teaming, supply chain Host-level or application-level security scanning
Regulatory landscape and compliance mapping (as guidance, not advice) Legal drafting, regulatory filings, or attorney-client work product
Third-party and model due diligence, board reporting, audit Any authoritative statement of "your system is compliant"

Read the full file on GitHub · 193 lines

Files

What ships with it

39 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.

Changes

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.

  1. 12d ago Changed · +13 lines 389a6e6c52a2
  2. 28d ago Changed · +6 lines 3da4d6aba630
  3. 1mo ago Changed · +12 lines · -22 tokens per session ad7c80a3e278
  4. 1mo ago Changed · +4 lines 641888654016
  5. 2mo ago Changed · +7 lines · +16 tokens per session c257fd0f028f
  6. 2mo ago First seen · 151 lines · 167 tokens per session scan A 1e1b7e073627

Subscribe to this mod's changes

ai-governance is a skill published in the GitHub repository magnus919/agent-skills (176 stars, last pushed yesterday), licensed MIT. It adds 161 tokens to every session and 3,441 once invoked, about $0.0006 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.

Building agentsLLMLegal and complianceagent-skillsagentskillsai-agentsautomation
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ai-governance compared with skills from other repositories

ai-governance next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-governancemagnus919/agent-skillsSkill176yesterdayMITA161Claude Code, Codex
cocoauditSnowflake-Labs/cocoplusSkill7296d agoMITA16Claude Code
audit-addSnowflake-Labs/cocoplusSkill7296d agoMITA0Claude Code
audit-timelineSnowflake-Labs/cocoplusSkill7296d agoMITA0Claude Code
audit-exportSnowflake-Labs/cocoplusSkill7296d agoMITA15Claude Code
audit-verifySnowflake-Labs/cocoplusSkill7296d agoMITA18Claude Code, Codex
audit-ciSnowflake-Labs/cocoplusSkill7296d agoMITA29Claude Code, Codex