reporting

reporting is a skill for Claude Code from iwebdevnl/exact-online-ai-connect. It costs 116 tokens per session (987 once invoked), scanned A, original, MIT.

A guide for choosing the correct Exact Online tool or API endpoint for a request. Exact Online is accounting and business software; an endpoint is the specific API address used to retrieve or change a kind of data.

In plain words
What is it for?
Use it to find endpoints for open customer or supplier invoices, select fields, apply filters, and paginate through bulk results.
Why use it?
It prevents choosing the wrong data source, filters, or pagination method when working with Exact Online. It focuses on how to retrieve information, not on interpreting the financial results.

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

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/iwebdevnl/exact-online-ai-connect/reporting
Any agent
npx skills add iwebdevnl/exact-online-ai-connect --skill reporting
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 reporting

README.md
[![agentmods](https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/reporting.svg)](https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/reporting)
Your own site
<a href="https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/reporting"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/reporting.svg" alt="Measured on agentmods" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 987 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 $0.00116 $0.00987
Opus 5 $0.00058 $0.00494
Sonnet 5 $0.00023 $0.00197
Haiku 4.5 $0.00012 $0.00099

Measured 6d ago against content hash 09f0629146e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

reporting 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 6d 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/reporting/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Endpoint- en toolkeuze

Gebruik deze skill om bij een vraag meteen het juiste endpoint en de juiste tool te kiezen, in plaats van te gokken of te improviseren.

Deze skill gaat over de routing, niet over de inhoudelijke analyse. Voor een formele resultatenrekening is resultatenrekening-analyse de juiste skill, voor stuurinformatie en commerciële KPI's is dat management-informatie.

Openstaande debiteuren en crediteuren

  • Openstaande debiteuren: Bulk/Cashflow/Receivables, filter Status in [20, 30].
  • Openstaande crediteuren: Bulk/Cashflow/Payments (let op: dit endpoint heet "Payments" in de API, ook al gaat het om crediteuren), zelfde filter Status in [20, 30].

Met read_operation:

{
  "service": "Bulk",
  "entity": "Cashflow/Receivables",
  "filters": { "Status": [20, 30] },
  "select": "AccountName,AmountDC,DueDate,InvoiceNumber"
}

Paginatie op Bulk-endpoints. Bulk pagineert alleen via een cursor: skip geeft daar een fout. Neem next_page.page_token uit de vorige respons en geef die mee in de volgende read_operation. top, skip, filters en select worden dan genegeerd, de cursor draagt ze al mee.

{
  "service": "Bulk",
  "entity": "Cashflow/Receivables",
  "page_token": "<next_page.page_token uit de vorige respons>"
}

Omzet, kosten en marge

Gebruik analyze_data op Financial/TransactionLines met een JOIN naar Financial/GLAccounts op GLAccountCode = Code, gefilterd op t1.BalanceType = 'W' (resultatenrekening). Kies daarna de grootboeksoort die bij de vraag hoort:

Vraag Filter
Omzet t1.Type = 110
Kosten t1.Type in (111, 120, 121, 122, 123, 125, 126)
Marge (omzet plus kostprijs) t1.Type in (110, 111)

Filter je alleen op BalanceType = 'W' en laat je Type weg, dan tel je de hele resultatenrekening bij elkaar op en presenteer je omzet en kosten door elkaar als één bedrag.

Meerdere boekjaren. Voeg dan ook t0.Type != 310 toe. De jaarafsluiting boekt elke W&V-rekening van een afgesloten jaar tegen zichzelf terug, waardoor dat jaar zonder dit filter op ongeveer nul uitkomt.

Read the full file on GitHub · 95 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. 6d ago First seen · 95 lines · 116 tokens per session scan A 09f0629146e0

Subscribe to this mod's changes

reporting is a skill published in the GitHub repository iwebdevnl/exact-online-ai-connect (0 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 987 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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