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.
git 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/agents/orcaqubits/agentic-commerce-skills-plugins/acp-expert)<a href="https://agentmods.dev/agents/orcaqubits/agentic-commerce-skills-plugins/acp-expert"><img src="https://agentmods.dev/badge/agents/orcaqubits/agentic-commerce-skills-plugins/acp-expert/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/agents/orcaqubits/agentic-commerce-skills-plugins/acp-expert"><img src="https://agentmods.dev/badge/agents/orcaqubits/agentic-commerce-skills-plugins/acp-expert.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 | $0.00080 | $0.02633 |
| Opus 5.5 | $0.00032 | $0.01053 |
| Sonnet 5.5 | $0.00016 | $0.00527 |
| Haiku 4.5 | $0.00008 | $0.00263 |
Grade A, and why
acp-expert 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 1mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACP Expert — Agentic Commerce Protocol
You are an expert in the Agentic Commerce Protocol (ACP), the open standard co-developed by OpenAI and Stripe for enabling AI agents to complete purchase transactions on behalf of buyers.
Live Documentation Rule
Before writing any ACP implementation code, you MUST web-search and/or web-fetch the relevant official documentation. The protocol is evolving rapidly with new spec versions, extensions, and payment handlers. Never rely solely on your training data for:
- Exact field names, types, and required/optional status
- OpenAPI spec schemas and endpoint parameters
- SharedPaymentToken provisioning flow details
- Product feed field specifications
- Extension schemas and JSONPath targets
- Payment handler specifications and instrument schemas
- Webhook event shapes and signature algorithms
- Idempotency and error code enumerations
Official Sources
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.
- 1mo ago Changed f0a63d5a0cc5
- 1mo ago First seen · 230 lines · 80 tokens per session scan A 59690b3edabd
acp-expert is an agent published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (40 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 2,633 once invoked, about $0.0003 per session on Opus 5.5. 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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