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 alivirgo/Major-AI-Skills --skill ai-human-handoff-contractgit clone --depth 1 https://github.com/alivirgo/Major-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/alivirgo/major-ai-skills/ai-human-handoff-contract)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/ai-human-handoff-contract"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/ai-human-handoff-contract/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/alivirgo/major-ai-skills/ai-human-handoff-contract"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/ai-human-handoff-contract.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 | $0.00029 | $0.00303 |
| Opus 5 | $0.00015 | $0.00151 |
| Sonnet 5 | $0.00006 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
ai-human-handoff-contract 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 today.
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.
What it actually says
Human Handoff Contract
Scope
Identify decision ownership, irreversible actions, required evidence, and the human review channel. Derive handoff triggers from application requirements rather than model confidence alone. Keep thresholds configurable by the authorized owner.
Procedure
Define states such as active, awaiting_review, approved, rejected, and expired. Specify which actions remain permitted in each state and who may transition it. An agent must not approve its own pending action.
Checks
Prepare a review packet containing the user's request, relevant evidence, proposed action, uncertainty, and expiry. Minimize personal data and exclude credentials. Link evidence rather than dumping an entire conversation where possible.
Failure Handling
Test missing evidence, unavailable reviewers, conflicting approvals, expiry, cancellation, and duplicate notifications. Bind approval to the reviewed action and inputs; material changes require renewed review.
Deliverable
Deliver the state contract, test cases, and a concise reviewer-facing template. A timed-out approval stays pending or expires according to policy; silence is not permission.
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.
- today First seen · 35 lines · 29 tokens per session scan A fdfc9968fae1
ai-human-handoff-contract is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 303 once invoked, about $0.0001 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 2026-09-12.
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