creditcard-aflettering

creditcard-aflettering is a skill for Claude Code from iwebdevnl/exact-online-ai-connect. It costs 111 tokens per session (4,882 once invoked), scanned A, original, MIT.

A workflow for processing a credit-card or payment-provider statement in Exact Online, an online accounting system. It extracts transactions from a PDF, matches them to unpaid purchase invoices, imports them as bank entries, and reconciles the matches.

In plain words
What is it for?
Use it to read a statement, find suppliers and unpaid invoices, create bank-entry records, reconcile each invoice, and review unmatched transactions before choosing whether to upload or create an invoice, post to creditors, or approve a direct expense.
Why use it?
It prevents transactions without a matching invoice from being automatically posted as expenses. Those lines are shown for the user to decide how they should be handled.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the exact-online-ai-connect plugin — 10 skills, 4 commands, 1 MCP server shipped together

Good fit Use it to read a statement, find suppliers and unpaid invoices, create bank-entry records, reconcile each invoice, and review unmatched transactions before choosing whether to upload or create an invoice, post to creditors, or approve a direct expense.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering
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 iwebdevnl/exact-online-ai-connect --skill creditcard-aflettering
Clone the repo
git clone --depth 1 https://github.com/iwebdevnl/exact-online-ai-connect

Made for: Claude Code.

Or install exact-online-ai-connect, the plugin that ships this one along with the rest of its 10 skills, 4 commands, 1 MCP server.

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 creditcard-aflettering

README.md
[![agentmods](https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering/github.svg)](https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering)
Your own site
<a href="https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering/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.

agentmods 80×15 button for creditcard-aflettering

Your own site · 80×15
<a href="https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/creditcard-aflettering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,882 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.
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 $0.00111 $0.04882
Opus 5 $0.00056 $0.02441
Sonnet 5 $0.00022 $0.00976
Haiku 4.5 $0.00011 $0.00488

Measured 12d ago against content hash 0b60364b2355, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

creditcard-aflettering 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 12d 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/exact-online/skills/creditcard-aflettering/SKILL.md · 475 lines

How it starts

The opening of the file, as written. The whole thing — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creditcard-aflettering, van PDF tot afgeletterd

Volledige verwerking van een creditcard- of PSP-afschrift in vijf fasen:

Fase 0 → Intake                 Dagboek en rekeningnummers ophalen bij de gebruiker
Fase 1 → PDF inlezen            Transacties extraheren en structureren
Fase 2 → Voorbereiding          GUIDs en openstaande facturen ophalen
Fase 2.5 → Ontbrekende facturen Overzicht presenteren + wachten op actie gebruiker
Fase 3 → BankEntry import       Transacties aanmaken in Exact Online dagboek
Fase 4 → Afletteren             MatchSets per factuur

⚠️ Regel: Regels zonder factuur worden nooit automatisch op een kostenrekening geboekt. Ze worden altijd eerst in een overzicht gepresenteerd. De gebruiker beslist per regel: factuur uploaden/aanmaken, alvast op crediteuren boeken, of expliciet toestemming geven voor directe kostenboeking, inclusief de gewenste rekening.

Welke tool wanneer

Tool Waarvoor
read_operation Alle GET-queries: dagboek, GLAccounts, leveranciers, openstaande facturen, TransactionLines. Levert maximaal 60 records per aanroep.
write_operation Alle schrijfacties: BankEntry POST, BankEntryLine POST, BankEntry DELETE, MatchSets POST. Vereist confirmed: true.

Op Bulk-endpoints pagineer je met de page_token uit next_page.page_token van de vorige respons. skip wordt daar niet geaccepteerd.


Fase 0: Intake, configuratie ophalen

Deze skill werkt in elke administratie. Bepaal daarom de dagboeken en rekeningen live uit de administratie op basis van hun type, en gebruik geen vaste "standaard"-nummers. Die verschillen per organisatie en leiden bij een andere klant tot een verkeerde boeking.

Creditcarddagboek. Vraag welk dagboek het is (code of naam) of leid het af. Bankdagboeken hebben Type 12; een creditcard- of PSP-dagboek staat soms als een apart banktype. Verifieer:

Tool: read_operation

{
  "service": "Financial", "entity": "Journals",
  "filters": {"Code": "{dagboekcode}"},
  "select": "Code,Description,Type,GLAccount,GLAccountCode"
}

Read the full file on GitHub · 475 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 475 lines · 111 tokens per session scan A 0b60364b2355

Subscribe to this mod's changes

creditcard-aflettering is a skill published in the GitHub repository iwebdevnl/exact-online-ai-connect (0 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 4,882 once invoked, about $0.0006 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 2026-08-31.

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