human-oversight-design

human-oversight-design is a skill for Claude Code from obielin/responsible-ai-skills. It costs 42 tokens per session (1,973 once invoked), scanned A, original, MIT.

A design guide for adding human control to autonomous AI agents and automated systems that can take actions on their own.

In plain words
What is it for?
Use it when designing agents or automated pipelines, especially those affecting finances, health, legal status, or public services.
Why use it?
It helps prevent unsafe automation by defining approval, override, transparency, and audit requirements before implementation.

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 when designing agents or automated pipelines, especially those affecting finances, health, legal status, or public services.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/obielin/responsible-ai-skills/human-oversight-design
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 human-oversight-design
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 human-oversight-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/obielin/responsible-ai-skills/human-oversight-design/github.svg)](https://agentmods.dev/skills/obielin/responsible-ai-skills/human-oversight-design)
Your own site
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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 human-oversight-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/obielin/responsible-ai-skills/human-oversight-design"><img src="https://agentmods.dev/badge/skills/obielin/responsible-ai-skills/human-oversight-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,973 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 $0.00042 $0.01973
Opus 5 $0.00021 $0.00986
Sonnet 5 $0.00008 $0.00395
Haiku 4.5 $0.00004 $0.00197

Measured 12d ago against content hash eb82cd7ed1a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

human-oversight-design 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.

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/human-oversight-design/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Human Oversight Design

Autonomous AI agents that act without meaningful human control are a governance failure waiting to happen. This skill teaches you to design oversight into the system architecture — not bolt it on afterwards.

The Oversight Spectrum

Before writing any agent code, decide where your system sits:

Full Automation          Supervised Automation       Human-Led + AI-Assisted
─────────────────────────────────────────────────────────────────────────
AI decides & acts        AI decides, human approves  Human decides, AI informs
     │                          │                              │
High risk                   Medium risk                    Low risk
Requires audit trail    Requires override mechanism    Requires transparency

Rule: Systems affecting citizens, finances, health, or legal status must sit at "Supervised Automation" or further right. Argue in writing if you believe otherwise.


Step 1: Map Every Action to a Control Level

For every action your agent can take, assign a control level before implementation:

# Define your action registry with explicit oversight requirements
ACTION_REGISTRY = {
    # (action_name): (control_level, rationale)
    'read_database':          ('autonomous',  'Read-only, no external effect'),
    'generate_draft_email':   ('autonomous',  'Draft only, not sent'),
    'search_web':             ('autonomous',  'Read-only, no external effect'),
    'send_email':             ('supervised',  'External communication, irreversible'),
    'write_file':             ('supervised',  'Modifies state, potentially irreversible'),
    'delete_record':          ('supervised',  'Irreversible'),
    'submit_form':            ('supervised',  'External action with consequences'),
    'make_payment':           ('supervised',  'Financial transaction'),
    'update_citizen_record':  ('supervised',  'Affects individual entitlements'),
    'escalate_to_authority':  ('supervised',  'Triggers further action'),
    'take_legal_action':      ('blocked',     'Must not be automated'),
}

CONTROL_LEVELS = {
    'autonomous':  'Agent executes without approval',
    'supervised':  'Agent proposes, human must approve before execution',
    'blocked':     'Agent must not perform this action under any circumstances',
}

Read the full file on GitHub · 267 lines

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 First seen · 267 lines · 42 tokens per session scan A eb82cd7ed1a5

Subscribe to this mod's changes

human-oversight-design is a skill published in the GitHub repository obielin/responsible-ai-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 1,973 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.

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