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.
npx skills add OneWave-AI/claude-skills --skill cowork-invoice-chasergit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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.
[](https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-invoice-chaser)<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/github.svg" alt="Measured on agentmods" height="20"></a>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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
- 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).
- 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.
- 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.
- 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
- 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.
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.
- 13d ago First seen · 44 lines · 55 tokens per session scan A ef7d1b023e73
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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