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 OrcaQubits/agentic-commerce-skills-plugins --skill ap2-intent-mandategit clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-pluginsWrote 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/orcaqubits/agentic-commerce-skills-plugins/ap2-intent-mandate)<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/ap2-intent-mandate"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/ap2-intent-mandate.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.01139 |
| Opus 5 | $0.00025 | $0.00570 |
| Sonnet 5 | $0.00010 | $0.00228 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade A, and why
ap2-intent-mandate 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 8d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AP2 Intent Mandate
Before writing code
Fetch live docs:
- Fetch
https://ap2-protocol.org/specification/for the Intent Mandate schema - Web-search
site:github.com google-agentic-commerce AP2 intent mandatefor type definitions and samples - Fetch
https://ap2-protocol.org/topics/core-concepts/for Intent Mandate conceptual details - Web-search
ap2 protocol intent mandate human-not-present autonomousfor implementation guides
Conceptual Architecture
What the Intent Mandate Is
The Intent Mandate is the VDC for human-not-present transactions. It captures the user's pre-authorized shopping intent with defined constraints, allowing the Shopping Agent to act autonomously within those bounds after the user has left the session.
Who Creates It
The Shopping Agent creates the Intent Mandate based on the user's expressed intent. The agent captures the user's requirements and formalizes them into a structured mandate.
Who Signs It
The User signs the Intent Mandate before going offline:
- Hardware-backed device key with in-session authentication
- Signature proves the user reviewed and authorized the intent
- Must be signed before the user leaves the session
Intent Mandate Contents
The spec describes several conceptual properties for the Intent Mandate (payer/payee identities, authorized payment method categories, risk payload, shopping intent, etc.). The actual V0.1 implementation uses the following IntentMandate Python type fields:
user_cart_confirmation_required(bool) — Whether the user must confirm the cart before purchasenatural_language_description(str) — The user's actual words / shopping intent, captured for accountabilitymerchants(Optional[List[str]]) — Optional list of preferred or allowed merchantsskus(Optional[List[str]]) — Optional list of specific SKUs the agent may purchaserequires_refundability(Optional[bool]) — Whether the user requires the purchase to be refundableintent_expiry(str, ISO 8601) — When this authorization expires (e.g.,"2025-09-02T12:00:00Z")
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.
- 8d ago First seen · 106 lines · 50 tokens per session scan A 097f8cc9192b
ap2-intent-mandate is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 1,139 once invoked, about $0.0003 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 2026-08-30.
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