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Accounts Receivable Manager

作者 1kalin · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install afrexai-accounts-receivable
功能描述
Automate accounts receivable: aging reports, prioritize collections, draft payment reminders, match payments, track DSO, and forecast bad debt exposure.
使用说明 (SKILL.md)

Accounts Receivable Manager

Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.

What It Does

  1. AR Aging Report — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring
  2. Collection Priority Queue — Rank overdue accounts by amount × days × risk for optimal follow-up order
  3. Payment Reminder Drafts — Generate professional escalation emails (friendly → firm → final notice → collections)
  4. Cash Application Matching — Match incoming payments to open invoices with variance handling
  5. Bad Debt Forecasting — Predict write-offs using historical payment patterns and aging trends
  6. DSO Tracking — Calculate Days Sales Outstanding with trend analysis and benchmarks by industry

How to Use

Tell your agent what you need:

  • "Run an AR aging analysis for our open invoices"
  • "Prioritize our collection queue — what should we chase first?"
  • "Draft a 60-day overdue reminder for [client name]"
  • "Our DSO is 47 days — how does that compare to SaaS benchmarks?"
  • "Forecast bad debt exposure for Q1"

AR Aging Buckets

Bucket Risk Level Action
Current (0-30) Low Monitor
31-60 days Medium Friendly reminder
61-90 days High Escalation call + written notice
90+ days Critical Final demand → collections/write-off review

Collection Priority Formula

Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3)

Customer Risk Score (1-10) based on:

  • Payment history (avg days to pay)
  • Number of past-due invoices
  • Credit limit utilization
  • Industry default rates

Payment Reminder Escalation

Day 1 (Invoice Due)

Subject: Invoice #[NUM] — Payment Due Today Tone: Friendly, informational

Day 7 (1 Week Overdue)

Subject: Friendly Reminder — Invoice #[NUM] Past Due Tone: Warm but clear

Day 30 (1 Month Overdue)

Subject: Payment Required — Invoice #[NUM] Now 30 Days Past Due Tone: Professional, firm

Day 60 (2 Months Overdue)

Subject: Urgent — Invoice #[NUM] Significantly Overdue Tone: Serious, mention late fees / service impact

Day 90+ (Final Notice)

Subject: Final Notice — Invoice #[NUM] Requires Immediate Payment Tone: Formal, mention collections referral

DSO Benchmarks by Industry

Industry Good DSO Average DSO Poor DSO
SaaS / Software \x3C30 30-45 >60
Professional Services \x3C35 35-55 >70
Manufacturing \x3C40 40-60 >75
Construction \x3C45 45-70 >90
Healthcare \x3C35 35-50 >65

Bad Debt Forecasting Model

Estimate write-off probability by aging bucket:

  • Current: 1-2% default rate
  • 31-60 days: 5-8%
  • 61-90 days: 15-25%
  • 90-120 days: 30-50%
  • 120+ days: 50-80%

Apply to outstanding amounts for expected loss provision.

Cash Application Rules

  1. Exact match — Payment amount matches one open invoice exactly
  2. Combination match — Payment matches sum of multiple invoices
  3. Short payment — Payment \x3C invoice amount → flag for dispute/deduction review
  4. Overpayment — Payment > invoice → apply to oldest open balance or issue credit
  5. Unidentified — No match found → hold in suspense, research within 48 hours

Output Format

When generating AR reports, include:

  • Total AR outstanding
  • Aging distribution ($ and %)
  • Top 10 overdue accounts by priority score
  • DSO current vs. 3-month trend
  • Estimated bad debt exposure
  • Recommended actions (who to call, what to send)

Take It Further

This skill handles AR analysis and workflows. For full financial operations automation:

Built by AfrexAI — operational AI for businesses that run on results, not hype.

安全使用建议
This skill appears coherent for AR tasks, but it is a high-level, instruction-only template from an unknown source. Before installing or using it: 1) do not upload real financial data until you confirm where processing happens (local vs external) and how data is stored/retained; 2) provision only the minimal connectors/credentials the agent needs, using least privilege and rotation; 3) ensure the agent cannot auto-send emails or change accounting records without an explicit, auditable human approval step; 4) test on synthetic or redacted data first; 5) verify the publisher (the homepage links in the README point to afrexai-cto.github.io) and review any paid add-ons before providing payment or credentials. If you want stronger assurance, ask the publisher for a provenance statement or a code-backed implementation that declares required connectors and data flows.
功能分析
Type: OpenClaw Skill Name: afrexai-accounts-receivable Version: 1.0.0 The skill bundle provides instructions and documentation for an AI agent to manage Accounts Receivable workflows. All content, including the SKILL.md and README.md, is descriptive and functional, outlining legitimate business processes like AR aging, collection prioritization, and bad debt forecasting. There are no instructions for the agent to perform malicious actions, exfiltrate data, execute arbitrary commands, or engage in prompt injection to subvert its purpose. The external links present in the documentation are passive marketing links and do not instruct the agent to interact with them in any active or harmful way.
能力评估
Purpose & Capability
Name, description, README, and SKILL.md are consistent: all content focuses on AR aging, prioritization, reminders, cash application, DSO and bad-debt forecasting. The skill is instruction-only and does not request unrelated binaries, environment variables, or system paths.
Instruction Scope
The runtime instructions stay within AR workflows (reports, scoring, email templates, cash-application rules). However the SKILL.md is high-level and does not specify how the agent should access invoice/payment data or what connectors to use. That vagueness could lead an agent to ask for or attempt access to financial systems or files unless the user provides explicit constraints.
Install Mechanism
No install spec and no code files — this is instruction-only, so nothing is written to disk or downloaded by the skill itself.
Credentials
The skill declares no required credentials or env vars, which is proportionate to an instruction-only template. In practice, to run on real company data you will need connectors/credentials for accounting/ERP/CRM systems; those are not declared here and must be provisioned separately with least privilege.
Persistence & Privilege
always is false and there is no install or configuration writing. The skill does not request persistent system presence or attempt to modify other skills or agent-wide settings.
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 afrexai-accounts-receivable
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /afrexai-accounts-receivable 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 of Accounts Receivable Manager skill. - Automates AR workflows: aging analysis, collection prioritization, payment reminders, cash application, bad debt forecasting, and DSO tracking. - Provides actionable AR reports, collection queues, risk scoring, and industry benchmarks. - Supports natural language requests to run reports, prioritize collections, draft reminder emails, and forecast bad debt. - Includes detailed escalation templates, priority formulas, and cash application rules for streamlined AR operations.
元数据
Slug afrexai-accounts-receivable
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Accounts Receivable Manager 是什么?

Automate accounts receivable: aging reports, prioritize collections, draft payment reminders, match payments, track DSO, and forecast bad debt exposure. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 595 次。

如何安装 Accounts Receivable Manager?

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

Accounts Receivable Manager 是免费的吗?

是的,Accounts Receivable Manager 完全免费(开源免费),可自由下载、安装和使用。

Accounts Receivable Manager 支持哪些平台?

Accounts Receivable Manager 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 Accounts Receivable Manager?

由 1kalin(@1kalin)开发并维护,当前版本 v1.0.0。

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