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.
npx skills add obielin/responsible-ai-skills --skill human-oversight-designgit clone --depth 1 https://github.com/obielin/responsible-ai-skillsWrote 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.
[](https://agentmods.dev/skills/obielin/responsible-ai-skills/human-oversight-design)<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/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.
<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>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.
| Model | Per session | Once 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 |
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.
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',
}
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.
- 12d ago First seen · 267 lines · 42 tokens per session scan A eb82cd7ed1a5
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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