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.
git 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/commands/iwebdevnl/exact-online-ai-connect/exact-omzet)<a href="https://agentmods.dev/commands/iwebdevnl/exact-online-ai-connect/exact-omzet"><img src="https://agentmods.dev/badge/commands/iwebdevnl/exact-online-ai-connect/exact-omzet/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/commands/iwebdevnl/exact-online-ai-connect/exact-omzet"><img src="https://agentmods.dev/badge/commands/iwebdevnl/exact-online-ai-connect/exact-omzet.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 | $0.00009 | $0.00274 |
| Opus 5 | $0.00005 | $0.00137 |
| Sonnet 5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
exact-omzet 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 10d 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.
What it actually says
Roep eerst get_started aan. Gebruik analyze_data op
Financial/TransactionLines met een JOIN naar Financial/GLAccounts op
GLAccountCode = Code. Filter op t1.BalanceType = 'W' én op t1.Type = 110
(omzetrekeningen). Zonder die tweede filter tel je de hele resultatenrekening op
en rapporteer je kosten als omzet. Loopt de periode over meerdere boekjaren, voeg
dan t0.Type != 310 toe: de jaarafsluiting boekt elke resultatenrekening van een
afgesloten jaar tegen zichzelf weg, waardoor dat jaar anders op nul uitkomt.
Groepeer op klant en maand, sommeer AmountDC. Toon de top-resultaten als tabel.
Is analyze_data niet beschikbaar (Essentials-plan), meld dat dan en val terug
op read_operation. Optioneel argument (jaar): $ARGUMENTS
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.
- 10d ago First seen · 16 lines · 9 tokens per session scan A c964ac8da2db
exact-omzet is a command published in the GitHub repository iwebdevnl/exact-online-ai-connect (0 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 274 once invoked, about $0.0000 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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