governance-documentation

governance-documentation is a skill for Claude Code from obielin/responsible-ai-skills. It costs 33 tokens per session (1,674 once invoked), scanned A, original, MIT.

A required documentation process for an AI system before it is put into production, meaning made available for real users or operations. It creates records such as a model card, risk assessment, incident plan, and monitoring plan.

In plain words
What is it for?
Use it to prepare governance records before deployment. It also covers extra documentation required for higher-risk systems and UK public-sector use.
Why use it?
It prevents teams from deploying an AI system without recording what it does, how it should be used, and how problems will be handled.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the responsible-ai-skills plugin — 9 skills shipped together

Good fit Use it to prepare governance records before deployment. It also covers extra documentation required for higher-risk systems and UK public-sector use.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/obielin/responsible-ai-skills/governance-documentation
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 obielin/responsible-ai-skills --skill governance-documentation
Clone the repo
git clone --depth 1 https://github.com/obielin/responsible-ai-skills

Made for: Claude Code.

Or install responsible-ai-skills, the plugin that ships this one along with the rest of its 9 skills.

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 governance-documentation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/obielin/responsible-ai-skills/governance-documentation"><img src="https://agentmods.dev/badge/skills/obielin/responsible-ai-skills/governance-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,674 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.
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 $0.00033 $0.01674
Opus 5 $0.00016 $0.00837
Sonnet 5 $0.00007 $0.00335
Haiku 4.5 $0.00003 $0.00167

Measured 11d ago against content hash 7aba36256ada, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

governance-documentation 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_model_card.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.

skills/governance-documentation/SKILL.md · 246 lines

How it starts

The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Governance Documentation

You cannot deploy an AI system without governance documentation. This skill generates the minimum required artefacts. Do not ship without completing every item.

What Must Exist Before Deployment

Document Required For Generated By
Model Card All AI systems This skill — Step 1
Risk Assessment Tier 2+ systems This skill — Step 2
ATRS Entry UK public sector This skill — Step 3
Incident Response Plan All production systems This skill — Step 4
Monitoring Plan All production systems This skill — Step 5

Step 1: Generate the Model Card

Run the model card generator:

python skills/governance-documentation/scripts/generate_model_card.py \
  --name "Your System Name" \
  --output docs/model-card.md

Or fill in this template manually:

# Model Card: [System Name]

## System Details
- **Name:** 
- **Version:** 
- **Date:** 
- **Type:** [Classification / Regression / NLP / Generative / Agent]
- **Owner:** 
- **Contact:** 

## Intended Use
- **Primary use:** 
- **Intended users:** 
- **Out-of-scope uses:**

## Training Data
- **Source:** 
- **Size:** 
- **Date range:** 
- **Known limitations:** 

## Performance
| Metric | Overall | Group A | Group B | Group C |
|---|---|---|---|---|
| Accuracy | | | | |
| F1 | | | | |
| FPR | | | | |

## Limitations
- 
- 

## Ethical Considerations
- Potential for harm: 
- Mitigations: 

## Human Oversight
- Who reviews outputs: 
- Override mechanism: 
- Override rate (target): 

Step 2: Complete the Risk Assessment

Answer every question. No blanks.

## AI Risk Assessment — [System Name]

### Impact Classification
- Affected population: 
- Decision reversibility: [Easily reversed / Difficult / Irreversible]
- Vulnerable groups affected: [Yes/No — specify]
- Maximum consequence of error: 
- Risk Tier: [1 / 2 / 3 / 4]

### Data Risks
- Personal data processed: [Yes/No]
- Special category data: [Yes/No — specify]
- DPIA completed: [Yes/No — date]
- Data minimisation applied: [Yes/No]

### Model Risks
- Bias assessment completed: [Yes/No — date]
- Fairness tests passing: [Yes/No]
- Known failure modes:
  1. 
  2. 
- Mitigation for each:
  1. 
  2. 

### Operational Risks
- What happens if system is unavailable: 
- Manual fallback process: 
- Time to restore service: 
- Monitoring in place: [Yes/No — describe]

### Residual Risk
- Overall residual risk: [Low / Medium / High / Critical]
- Accepted by (SRO name and date): 

Read the full file on GitHub · 246 lines

Files

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.

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. 11d ago First seen · 246 lines · 33 tokens per session scan A 7aba36256ada

Subscribe to this mod's changes

governance-documentation is a skill published in the GitHub repository obielin/responsible-ai-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 1,674 once invoked, about $0.0002 per session on Opus 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 2026-08-31.