菜单
Check whether AI agents can discover, read, cite, and safely act on an ecommerce storefront. Use for agentic commerce readiness reviews.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Route an ecommerce storefront through an Agentic Commerce readiness audit. Use when assessing whether a store should move to Custom Agent, Verified Audit, Forward Deployed Engineering, or Not Qualified.
Review crawler and AI-agent access files for ecommerce sites, including robots.txt, sitemap, llms.txt, and AI bot rules.
Audit an ecommerce storefront for agentic commerce protocols and action readiness. Use when checking ACP, UCP, AP2, x402, MPP, MCP, A2A, OAuth, checkout, order, and payment readiness.
Convert Agentic Commerce audit findings into a custom-agent implementation checklist. Use after readiness, SEO/AEO/GEO, product knowledge, or policy gaps are known.
Assess whether ecommerce policies are clear enough for AI answers, support drafts, and supervised order workflows.
Identify when an ecommerce prospect needs Forward Deployed Engineering beyond a standard custom-agent setup.
| name | agent-readiness |
| description | Check whether AI agents can discover, read, cite, and safely act on an ecommerce storefront. Use for agentic commerce readiness reviews. |
llms.txt, markdown-friendly content, or API/protocol paths.Run the checks with the commands in references/checks.md and cite command output as evidence for each finding.
llms-txt-and-crawler-access.schema-markup-audit from the ai-visibility pack.readiness-audit; this skill feeds its agent-access dimension.../references/guardrails.md for shared cross-skill guardrails (autonomous action safety, evidence provenance, internal runtime disclosure).