cowork-invoice-chaser

cowork-invoice-chaser is a skill for Claude Code, Codex from OneWave-AI/claude-skills. It costs 55 tokens per session (786 once invoked), scanned A, original, MIT.

An accounts-receivable assistant that reads invoices and payment records, then tracks which customer bills are unpaid and overdue.

In plain words
What is it for?
Use it to create an aging report, identify uncertain payment matches, and draft follow-up emails that become firmer as invoices age. It can run the check weekly.
Why use it?
It removes the manual work of matching payments to invoices and finding overdue balances. It also helps avoid chasing customers whose invoices were already paid.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Use it to create an aging report, identify uncertain payment matches, and draft follow-up emails that become firmer as invoices age. It can run the check weekly.

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Install with agentmods
npx agentmods add skills/onewave-ai/claude-skills/cowork-invoice-chaser
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.

Any agent
npx skills add OneWave-AI/claude-skills --skill cowork-invoice-chaser
Clone the repo
git clone --depth 1 https://github.com/OneWave-AI/claude-skills

Made for: Claude Code, Codex.

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 cowork-invoice-chaser

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cowork-invoice-chaser

Your own site · 80×15
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-invoice-chaser"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-invoice-chaser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 786 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.00786
Opus 5 $0.00028 $0.00393
Sonnet 5 $0.00011 $0.00157
Haiku 4.5 $0.00006 $0.00079

Measured 13d ago against content hash ef7d1b023e73, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cowork-invoice-chaser 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 13d 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.

cowork-invoice-chaser/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cowork Invoice Chaser

Chase receivables the way a firm-but-warm operator does: know exactly who owes what and for how long, escalate on a schedule, and never send a dunning email to someone who already paid. Inputs: a folder of issued invoices (PDF/.docx) and payment evidence (bank exports, remittance emails, a payments .csv, or a paid-list the user maintains).

Workflow

  1. Build the ledger. Extract from every invoice: number, client, contact, issue date, due date, amount, terms. From payment records: date, amount, payer. Reconcile -- match payments to invoices (exact amount first, then partial payments, then aggregated payments covering multiple invoices).
  2. Age the book. Produce the AR aging report: current, 1-30, 31-60, 61-90, 90+ days past due, by client. Include total outstanding, weighted average days late, and the three largest exposures.
  3. Flag before chasing. List invoices with ambiguous payment status (partial matches, unidentified deposits near the amount) separately. These get a human decision, not a chaser.
  4. Draft the chasers. For each confirmed-unpaid invoice, draft an email matched to its escalation stage -- drafts only, never send:
    • Due in 3 days: friendly heads-up with invoice attached reference
    • 1-14 late: polite nudge, assume oversight, restate amount and payment details
    • 15-45 late: direct, reference prior contact, ask for a payment date
    • 46-90 late: firm, propose a call, mention terms (late fees only if the invoice/contract actually states them)
    • 90+: final notice tone, next-steps language, flag to the human for a collections/legal decision
  5. Digest. One summary per run: total outstanding and change since last run, payments received, drafts queued by stage, ambiguous items needing a decision, and clients whose pattern changed (reliable payer suddenly 30 days late is a relationship signal, not just an AR line).

Rules

  • Never send -- drafts only. A wrong dunning email costs more than a late invoice.
  • Never chase an ambiguous invoice. Unmatched payment evidence near the amount means human review first.
  • Match tone to relationship: the user can tag clients (key account, standard, problem); key accounts never get form-letter tone regardless of age.
  • One email per client per run, covering all their overdue invoices -- three separate nudges in one morning reads as automation and burns goodwill.
  • State late fees only when the underlying invoice or contract specifies them. Never invent penalty terms.
  • Keep the escalation memory: track what stage each invoice last received so a resent nudge escalates rather than repeats.

Read the full file on GitHub · 44 lines

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. 13d ago First seen · 44 lines · 55 tokens per session scan A ef7d1b023e73

Subscribe to this mod's changes

cowork-invoice-chaser is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 786 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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