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/GAJETOso/financeskillsWrote 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/gajetoso/financeskills/aro-computation)<a href="https://agentmods.dev/commands/gajetoso/financeskills/aro-computation"><img src="https://agentmods.dev/badge/commands/gajetoso/financeskills/aro-computation.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.00114 |
| Opus 5 | $0.00006 | $0.00057 |
| Sonnet 5 | $0.00002 | $0.00023 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
aro-computation 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 8d 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.
This is a copy
86% identical to ai-anomaly-detection — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Load and follow the skill at skills/aro-computation/SKILL.md, including its Initial Assessment.
Input: $ARGUMENTS
Requirements:
- Perform ALL calculations by importing functions from skills/aro-computation/scripts/calculate.py - never mental math
- Follow the skill's Output Format section and cite which references you used
- State confidence and assumptions where inputs are incomplete; outputs require review by a qualified professional
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.
- 8d ago First seen · 13 lines · 12 tokens per session scan A ab53bfb15afc
aro-computation is a command published in the GitHub repository GAJETOso/financeskills (18 stars, last pushed 6d ago), licensed MIT. It adds 12 tokens to every session and 114 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to ai-anomaly-detection, differing in 6 lines, and is treated as a copy.
Other commands, from other repositories
assess
Review the book and report what the numbers actually show — run rate, categories, changes, unusual entries, and gaps in the data.
status
Show the current state of your Countbean book — balances, net worth, account count, and recent changes.
jaz-gst
Prepare GST/VAT filing in Jaz — review tax ledger, identify discrepancies, generate filing summary.
pricing-proposal
Propose a pricing structure with the value, margin, and competitive cases argued, and the migration cost stated.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.
exact-openstaande-debiteuren
Toon de openstaande debiteuren uit Exact Online.