exact-afletter-logica

exact-afletter-logica is a skill for Claude Code from iwebdevnl/exact-online-ai-connect. It costs 124 tokens per session (4,680 once invoked), scanned A, original, MIT.

A procedure for finding unmatched accounting entries in Exact Online and matching them, such as invoices with payments or credit notes. It supports one-to-one, partial-payment, batch, and multiple-entry matches, including write-offs for differences.

In plain words
What is it for?
Scanning for entries that still need matching, looking up relevant bank lines, comparing invoices and payments, and creating confirmed matches through Exact Online operations.
Why use it?
It reduces manual reconciliation work and helps prevent payment records from remaining incorrectly unmatched.

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 Scanning for entries that still need matching, looking up relevant bank lines, comparing invoices and payments, and creating confirmed matches through Exact Online operations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iwebdevnl/exact-online-ai-connect/exact-afletter-logica
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 exact-afletter-logica
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 exact-afletter-logica

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/exact-afletter-logica"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/exact-afletter-logica.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,680 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 $0.00124 $0.04680
Opus 5 $0.00062 $0.02340
Sonnet 5 $0.00025 $0.00936
Haiku 4.5 $0.00012 $0.00468

Measured 12d ago against content hash 7a44ed6335ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

exact-afletter-logica 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/exact-afletter-logica/SKILL.md · 483 lines

How it starts

The opening of the file, as written. The whole thing — 483 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exact Online Afletter-Logica

Identificeer onafgeletterde posten en voer aflettingen uit. Werkt generiek, zonder hardcoded grootboekcodes.

Welke tool wanneer

Tool Waarvoor
read_operation Alle GET-queries: discovery, scans, regels opzoeken. Levert maximaal 60 records per aanroep.
write_operation Afletteren via MatchSets (POST). Vereist confirmed: true.
analyze_data Optioneel voor bulk-aggregaties. Alleen op Trial of Analytics, niet op Essentials.

read_operation geeft maximaal 60 records terug. Op Bulk-endpoints pagineer je met de page_token uit next_page.page_token van de vorige respons, niet met skip. Haal bij een bulk-scan altijd alle pagina's op voordat je conclusies trekt: een afgekapte lijst laat posten stil verdwijnen.

Zie references/query-patterns.md voor de analyze_data-varianten van deze queries en voor de BankEntryLines-lookup per entrynummer.

Twee Use Cases

Use Case Doel Primaire methode
A: Bulk Scan "Wat moet er nog verwerkt worden?" Phase 0, read_operation of analyze_data
B: Specifieke Match "Letter deze factuur af tegen die betaling" Phase 1-2, read_operation plus write_operation op MatchSets

Begin altijd met Phase 0 voor een totaaloverzicht. Ga pas naar Phase 1-2 als je specifieke posten wilt matchen.

Phase 0: Discovery & Overzichtsscan

Standaard aanpak: read_operation. Werkt altijd, real-time data, geen extra abonnement vereist. analyze_data is optioneel voor bulk-aggregaties over grote datasets, vereist Analytics of Trial en kan mid-sync incomplete data bevatten.

Stap 0.1: Ontdek grootboekrekeningen (ALTIJD EERST)

Grootboekcodes verschillen per administratie. Gebruik het Type veld op GLAccounts om de juiste rekeningen te vinden:

Tool: read_operation

{
  "service": "Financial",
  "entity": "GLAccounts",
  "filters": {"Type": [10, 12, 20, 22]},
  "select": "Code,Description,Type,TypeDescription,BalanceSide"
}

Read the full file on GitHub · 483 lines

Files

What ships with it

2 files 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 · 483 lines · 124 tokens per session scan A 7a44ed6335ea

Subscribe to this mod's changes

exact-afletter-logica is a skill published in the GitHub repository iwebdevnl/exact-online-ai-connect (0 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 4,680 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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