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 reportinggit 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/reporting)<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/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/reporting"><img src="https://agentmods.dev/badge/skills/iwebdevnl/exact-online-ai-connect/reporting.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 | $0.00116 | $0.00987 |
| Opus 5.5 | $0.00046 | $0.00395 |
| Sonnet 5.5 | $0.00023 | $0.00197 |
| Haiku 4.5 | $0.00012 | $0.00099 |
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 1mo 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 — 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, filterStatusin[20, 30]. - Openstaande crediteuren:
Bulk/Cashflow/Payments(let op: dit endpoint heet "Payments" in de API, ook al gaat het om crediteuren), zelfde filterStatusin[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.
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.
- 1mo ago First seen · 95 lines · 116 tokens per session scan A 09f0629146e0
reporting is a skill published in the GitHub repository iwebdevnl/exact-online-ai-connect (0 stars, last pushed 2mo ago), licensed MIT. It adds 116 tokens to every session and 987 once invoked, about $0.0005 per session on Opus 5.5. 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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