ar-aging

ar-aging is a skill for Claude Code, Codex from WellApp-ai/Well. It costs 51 tokens per session (479 once invoked), scanned A, original, MIT.

An accounts-receivable aging report that groups unpaid invoices by how late they are, such as current, 1–30 days overdue, or more than 90 days overdue. Accounts receivable is money customers owe a business.

In plain words
What is it for?
Use it to list overdue invoices, total amounts by age or customer, calculate days sales outstanding, and prioritise collection follow-ups using available payment history.
Why use it?
It helps distinguish genuinely overdue invoices from payments that were already received, disputed, or credited, and shows which customers may need follow-up.

Skill for Claude CodeCodex

Part of the well plugin — 9 skills, 1 hook shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/wellapp-ai/well/ar-aging
Any agent
npx skills add WellApp-ai/Well --skill ar-aging
Clone the repo
git clone --depth 1 https://github.com/WellApp-ai/Well

Made for: Claude Code, Codex.

Or install well, the plugin that ships this one along with the rest of its 9 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ar-aging

README.md
[![agentmods](https://agentmods.dev/badge/skills/wellapp-ai/well/ar-aging.svg)](https://agentmods.dev/skills/wellapp-ai/well/ar-aging)
Your own site
<a href="https://agentmods.dev/skills/wellapp-ai/well/ar-aging"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/ar-aging.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 479 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00479
Opus 5 $0.00026 $0.00239
Sonnet 5 $0.00010 $0.00096
Haiku 4.5 $0.00005 $0.00048

Measured 5d ago against content hash be3311cc285f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ar-aging scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/well/skills/ar-aging/SKILL.md · 28 lines

What it actually says

Accounts-receivable aging from Well

Collections is judgment, not nagging. The point of an aging report is to chase the right customers — firmly where their payment history warrants it, gently where it doesn't — and to never chase an invoice that was already paid, disputed, or credited. Verify status before recommending any chase.

Build it

  1. Discover the schema first (see well:querying-well-data).
  2. Open receivables — issued invoices filtered on the payment-status / outstanding field the schema exposes (don't infer "unpaid" by subtracting sums if a status field exists). Pull due date, outstanding amount, and the customer (companies).
  3. Confirm what's actually settled — cross-check against transactions / invoice_transactions so a payment already received but not yet reflected in status isn't counted as overdue. This is the well:reconciliation sibling skill — reuse it.
  4. Bucket by age from the due date: Current (not yet due), 1–30, 31–60, 61–90, 90+ days overdue. Total per bucket and per customer.
  5. Per-customer behavior — where history exists, note each customer's typical days-to-pay so the user can prioritise (a chronic late-payer ≠ a first-time slip).

Rules

  • Verify status before chasing. Exclude paid / disputed / credited invoices from "to chase" — chasing a settled invoice is the fastest way to lose trust.
  • Sort the chase list by amount × overdue age, but annotate each with the customer's payment tier.
  • Don't sum across currencies without converting (exchange_rates).
  • Report DSO (days sales outstanding) only with the window it's computed over.

Present it

An aging table (buckets × totals), a top "to chase" list (verified-open only, with each customer's payment behavior), DSO with its window, and the total outstanding — in the workspace currency.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 28 lines · 51 tokens per session scan A be3311cc285f

Subscribe to this mod's changes

ar-aging is a skill published in the GitHub repository WellApp-ai/Well (340 stars, last pushed 29d ago), licensed MIT. It adds 51 tokens to every session and 479 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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