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 iwebdevnl/exact-online-ai-connect --skill debiteurenbeheergit clone --depth 1 https://github.com/iwebdevnl/exact-online-ai-connectWrote 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/iwebdevnl/exact-online-ai-connect/debiteurenbeheer)<a href="https://agentmods.dev/skills/iwebdevnl/exact-online-ai-connect/debiteurenbeheer"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/debiteurenbeheer/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/iwebdevnl/exact-online-ai-connect/debiteurenbeheer"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/debiteurenbeheer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00124 | $0.03254 |
| Opus 5 | $0.00062 | $0.01627 |
| Sonnet 5 | $0.00025 | $0.00651 |
| Haiku 4.5 | $0.00012 | $0.00325 |
Grade A, and why
debiteurenbeheer 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.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debiteurenbeheer
Proactief debiteurenbeheer: analyseer betaalgedrag, identificeer risico's, en bereid herinneringsacties voor. Het doel is niet alleen zien wie te laat betaalt, maar ook waarom en wat je eraan kunt doen.
Waarom proactief debiteurenbeheer
Veel ondernemers kijken pas naar debiteuren als het geld opraakt. Door structureel te monitoren verbeter je de cashflow, verlaag je het afschrijvingsrisico, en versterk je de klantrelatie (een vriendelijke herinnering is beter dan een boze brief na 90 dagen).
Analyse Workflow
Stap 1: Totaaloverzicht ophalen
Start met een quick-scan via OutstandingInvoicesOverview voor de totalen:
Tool: read_operation (deze tool doet alleen GET en heeft geen operation-parameter)
{
"service": "Read",
"entity": "OutstandingInvoicesOverview"
}
Dit geeft in één call:
- OutstandingReceivableInvoiceCount/Amount: Totaal aantal en bedrag openstaande facturen
- OverdueReceivableInvoiceCount/Amount: Waarvan verlopen (voorbij vervaldatum)
- OutstandingPayableInvoiceCount/Amount: Openstaande crediteuren (ter referentie)
- OverduePayableInvoiceCount/Amount: Waarvan verlopen crediteuren
Stap 2: Ouderdomsanalyse per klant
Haal de ouderdomsanalyse op per klant:
Tool: read_operation
{
"service": "Read",
"entity": "AgingReceivablesList"
}
BELANGRIJK: Gebruik AgingReceivablesList (NIET AgingReceivablesListByAgeGroup, dat
endpoint retourneert altijd "Bad Request - Error in query syntax").
Dit geeft per klant een uitsplitsing naar:
- AgeGroup1 (≤ 30 dagen): AgeGroup1Amount
- AgeGroup2 (31-60 dagen): AgeGroup2Amount
- AgeGroup3 (61-90 dagen): AgeGroup3Amount
- AgeGroup4 (> 90 dagen): AgeGroup4Amount
- TotalAmount: Totaal openstaand per klant
- AccountCode/AccountName: Klantidentificatie
- CurrencyCode: Valuta (typisch EUR)
Let op, dit endpoint heeft 0 filterbare velden: sorteren en filteren doe je zelf op de
output. Belangrijker nog: read_operation levert maximaal 60 records per call. Heeft de
administratie meer dan 60 klanten met openstaande posten, dan is dit overzicht stil onvolledig,
en juist deze skill belooft compleetheid. Tel dus de rijen. Krijg je er precies 60, ga er dan
van uit dat er meer zijn en gebruik deze twee routes naast elkaar:
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.
- 12d ago First seen · 281 lines · 124 tokens per session scan A 97e3976fe63f
debiteurenbeheer 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 3,254 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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