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Vendor Payment Optimizer

作者 samledger67-dotcom · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install vendor-payment-optimizer
功能描述
Optimize vendor payment timing to maximize cash flow and capture early payment discounts. Analyzes open AP, scores discount opportunities (2/10 net 30, etc.)...
安全使用建议
This skill appears coherent and low-risk from a configuration standpoint, but keep these practical precautions: 1) Only supply the minimum AP data needed (vendor, invoice #, amount, due date, terms). Do not paste bank account numbers, online banking credentials, payroll data, or other sensitive credentials into the input. 2) Verify the cost-of-capital value used for ROI comparisons before taking automated recommendations. 3) Treat the output as advisory — reconcile recommendations with your accounting system (QBO or bank integrations) manually or via your vetted connectors; the skill explicitly says it will not submit payments. 4) If you will run this with real vendor data, ensure proper access controls so only authorized staff can paste/export AP data to the agent. 5) If you need automated syncing with accounting software, use an official connector (e.g., qbo-automation) and avoid copy-pasting credentials into skill prompts. These steps will reduce privacy and operational risks while using the helper.
功能分析
Type: OpenClaw Skill Name: vendor-payment-optimizer Version: 1.0.0 The vendor-payment-optimizer skill is a financial analysis tool designed to help users manage Accounts Payable (AP) by calculating the ROI of early payment discounts and prioritizing invoices. The SKILL.md file contains only legitimate business logic, mathematical formulas for discount analysis, and structured reporting templates, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description promise to analyze AP, score discount opportunities, and produce a payment queue — all work is performed on user-supplied invoice data. The skill declares no binaries, env vars, or external integrations, which matches an analysis-only helper.
Instruction Scope
SKILL.md restricts inputs to pasted tables, CSV exports, or manual entry and explicitly disclaims performing payments or syncing to bank systems. It does not instruct the agent to read unrelated system files, access credentials, or transmit data to third-party endpoints. (User-provided AP data is required for operation.)
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested. The lack of secrets or external credentials is proportionate to an offline analysis helper.
Persistence & Privilege
always is false and there is no indication the skill modifies agent/system configuration or requests persistent presence; normal autonomous invocation capability is unchanged but not elevated by the skill itself.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install vendor-payment-optimizer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /vendor-payment-optimizer 触发
  4. 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
v1.0.0
Initial release: AP payment timing optimization, early payment discount ROI analysis, payment priority queue, and cash flow impact modeling
元数据
Slug vendor-payment-optimizer
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Vendor Payment Optimizer 是什么?

Optimize vendor payment timing to maximize cash flow and capture early payment discounts. Analyzes open AP, scores discount opportunities (2/10 net 30, etc.)... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 175 次。

如何安装 Vendor Payment Optimizer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install vendor-payment-optimizer」即可一键安装,无需额外配置。

Vendor Payment Optimizer 是免费的吗?

是的,Vendor Payment Optimizer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Vendor Payment Optimizer 支持哪些平台?

Vendor Payment Optimizer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Vendor Payment Optimizer?

由 samledger67-dotcom(@samledger67-dotcom)开发并维护,当前版本 v1.0.0。

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