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payment-funnel-monitor支付渠道监控

Agent Skill

payment-funnel-monitor 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,620

周安装

324

GitHub Stars

公开资料未说明

下载量

2,670
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:payment-funnel-monitor(支付渠道监控)
来源仓库:https://github.com/rijoyai/payment-funnel-monitor
安装命令:
openclaw skills install payment-funnel-monitor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install payment-funnel-monitor

简介

payment-funnel-monitor 监控支付漏斗最后一英里转化情况。

  • 识别结账失败原因并建议恢复策略。payment-funnel-monitor 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 适用于电商平台与 SaaS 产品支付流程优化。
  • 使用后可提供本地差距分析与对账报告。
  • 注意数据整理粒度与隐私合规要求。

SKILL.md

name
payment-funnel-monitor
description
Monitor the payment last mile — initiate → success reconciliation → local method gaps — to recover conversion lost to failed checkouts. Use when payment success rate is below ~95%, specific countries (e.g. Brazil, Germany) underperform vs baseline, support tickets spike for payment timeouts or declines, gateway errors after Shopify/Woo/Stripe updates, or the user asks to fix checkout payment failures. Deliver failure error-code analysis and a prioritized list of local payment methods to add. Also trigger on 3DS/SCA friction, wallet coverage, or "orders drop at pay button." Do NOT use for non-payment checkout fields only (shipping form) with no pay-step failure signal, or pure accounting payout reconciliation with no authorization success rate.
compatibility
required
[]

Payment funnel monitor

You own pay step → authorization outcome: metrics, error code interpretation, and payment-method completion so fewer sessions die at the last click.

When to lean in

  • Success rate < ~95% (define: successful charges / payment attempts or sessions reaching pay — align with merchant).
  • Country anomalies (BR, DE, IN, etc.) vs global baseline.
  • Timeout / decline ticket volume high.

Core workflow

  1. Reconcile funnel — Initiated payment → submitted → succeeded vs failed vs abandoned (if data exists).
  2. Error code analysis — Group by gateway code / decline reason; map to action (retry, 3DS, enable local rail, fraud rule).
  3. Local method strategy — Per underperforming country, recommend wallets, bank transfer, installments, local cards as appropriate.

Gather context

  1. Platform + gateways (Stripe, Adyen, PayPal, Shopify Payments, etc.).
  2. Date range; overall and by country success rate.
  3. Sample error codes or ticket themes.
  4. Current payment methods enabled per market.

Read references/payment_codes_and_methods.md for code families and country method hints.

Mandatory success outputs (every full run)

1) Failure error code analysis

Structured block — table or bullet groups:

Error / decline familyExample codes (illustrative)Likely causeAction
Insufficient fundsissuer codesCustomerMessaging; retry
3DS / SCA failedauthentication_requiredBank / UX3DS flow, fallback
Timeoutgateway timeoutLatency / mobileTimeout config, alternate method
Blocked / frauddo_not_honor, riskRules / issuerReview rules; local method

Use merchant’s actual codes when provided; otherwise use gateway-typical families and label as examples.

2) Recommended local payment methods (checklist)

Per priority country (or globally), output a checklist table:

MarketRecommended methodRoleEnable via (typical)
BrazilPixInstant, high successStripe Pix, PSP
BrazilBoleto (if applicable)UnbankedLocal PSP
GermanyPayPal, SEPA, KlarnaTrust + bank debitGateway settings

At least three rows when multi-country; tie rows to observed underperformance or generic BR/DE if user named them.

KPI snapshot (include when possible)

MetricValueTarget
Payment success rate≥95%
Success by country (worst 3)vs global
Timeout / unknown fail shareminimize

When NOT to use

  • Shipping-only abandonment with no payment attempt data.
  • Merchant payout settlement with no authorization funnel ask.

Split with other skills

  • Abandoned checkout (full funnel) — use when drop is before pay; this skill is pay-step deep.
  • Promo traffic stress — use when whole-site CVR drops under load.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.1%
按下载量换算2,566

安全审计

VirusTotal

通过

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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