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Checkout Friction Audit

Name: Checkout Friction Audit
Author: leooooooow

作者 LeroyCreates · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

271

总下载

当前安装

版本数

在 OpenClaw 中安装

/install checkout-friction-audit

功能描述

Audit checkout friction points and prioritize fixes that improve completed purchases without increasing risk. Use when the user reports high add-to-cart but...

使用说明 (SKILL.md)

Checkout Friction Audit

Skill Card

Category: Conversion
Core problem: Which checkout steps are leaking intent and killing purchase completion?
Best for: Conversion rate recovery projects
Expected input: Checkout flow notes, abandonment signals, user complaints, policy constraints
Expected output: Friction map with severity, likely cause, and fix priority
Creatop handoff: Push fixes into sprint board and rerun after implementation

Browser-first guidance

If the checkout flow is accessible by URL or staging page, prefer OpenClaw managed browser for direct observation before producing recommendations.

Recommended order:

Use any funnel notes, complaints, or screenshots the user already has.
If live checkout pages are available, inspect them in OpenClaw managed browser.
Use Browser Relay only when the user explicitly wants to inspect their current Chrome session.

Workflow

Clarify where the drop appears to happen.
- cart?
- shipping step?
- payment step?
- mobile-specific issue?
Map checkout path and identify complaint-linked touchpoints.
Score friction by impact on completion and fix complexity.
Separate UX friction from trust/compliance friction.
Output top quick wins and structural fixes.

Output format

Return in this order:

Executive summary (max 5 lines)
Priority actions (P0/P1/P2)
Evidence table (signal, confidence, risk)
7-day execution plan

Quality and safety rules

Tie each recommendation to observed evidence, not guesswork.
Prioritize reversible low-risk fixes first.
Avoid recommendations that violate platform/payment policies.
If the observed flow is partial, state that clearly.

License

This skill is provided under CC BY-NC-SA 4.0 for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license.

Commercial use requires a separate paid commercial license from Razestar. No trademark rights are granted.

安全使用建议

This skill is a checklist/instruction set and appears coherent for auditing checkout flows. Before using it: (1) Provide only the minimum data needed (staging URLs, anonymized complaints, screenshots) and avoid sharing real customer PII unless necessary. (2) Grant Browser Relay or access to a local Chrome session only with explicit consent and awareness that the agent will inspect pages you provide. (3) If you expect the skill to create or modify sprint-board items, confirm what integration will be used and supply credentials only through the platform's secure integration mechanism — the skill itself does not request or store those credentials. (4) Note the license: non-commercial CC BY-NC-SA; obtain a commercial license from Razestar if you plan to use it commercially.

功能分析

Type: OpenClaw Skill Name: checkout-friction-audit Version: 1.0.1 The skill bundle is a legitimate tool designed for auditing e-commerce checkout flows to improve conversion rates. The instructions in SKILL.md guide the AI agent to use the OpenClaw managed browser for UI inspection and provide structured feedback using the provided template in references/output-template.md. No malicious patterns, data exfiltration attempts, or harmful prompt injections were identified.

能力评估

✓ Purpose & Capability

Name, description, and instructions all focus on auditing checkout friction. There are no unrelated environment variables, binaries, or install steps requested that would be disproportionate to a conversion-audit workflow.

ℹ Instruction Scope

Instructions recommend using the platform-managed browser and Browser Relay for hands-on inspection and to use user-provided funnel notes/screenshots. This is appropriate for the purpose but does imply the agent may access live pages or a user's browser session — the skill text does require explicit user consent for Browser Relay, which is good. The guidance to 'push fixes into sprint board' is high-level and would require separate integration credentials if automated; the SKILL.md does not declare any such env vars or endpoints.

✓ Install Mechanism

Instruction-only skill with no install spec and no code files, so nothing is written to disk or downloaded. This is low risk and proportionate to the described functionality.

✓ Credentials

No required environment variables, credentials, or config paths are declared. The skill's actions (inspect pages, review user-provided artifacts) do not require secrets. Any integration that would modify sprint boards or external services would need separate explicit credentials not requested here.

✓ Persistence & Privilege

always is false and autonomous invocation is allowed (platform default). There is no request to modify other skills or system-wide settings. No unusual persistence or elevated privileges are requested.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install checkout-friction-audit
安装完成后，直接呼叫该 Skill 的名称或使用 /checkout-friction-audit 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.1

Add browser-first guidance or interactive Python workflow improvements

v1.0.0

Initial release: checkout friction diagnosis

元数据

Slug checkout-friction-audit

版本 1.0.1

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 2

常见问题