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 teamtinvio/jaz-ai --skill transaction-recipesgit clone --depth 1 https://github.com/teamtinvio/jaz-aiWrote 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/teamtinvio/jaz-ai/transaction-recipes)<a href="https://agentmods.dev/skills/teamtinvio/jaz-ai/transaction-recipes"><img src="https://agentmods.dev/badge/skills/teamtinvio/jaz-ai/transaction-recipes/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/teamtinvio/jaz-ai/transaction-recipes"><img src="https://agentmods.dev/badge/skills/teamtinvio/jaz-ai/transaction-recipes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00120 | $0.07222 |
| Opus 5 | $0.00060 | $0.03611 |
| Sonnet 5 | $0.00024 | $0.01444 |
| Haiku 4.5 | $0.00012 | $0.00722 |
Grade A, and why
jaz-recipes 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 today.
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 — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transaction Recipes Skill
You are modeling complex multi-step accounting scenarios in Jaz — transactions that span multiple periods, involve changing amounts, or require several linked entries to complete a single business event.
Jaz-native, not generic. Every recipe in this skill is designed around the Jaz recipe engine (
plan_recipe/execute_recipe), Jaz capsule types, Jaz CoA classifications, and Jaz scheduler primitives. It is NOT an interchangeable IFRS reference; it is the operating manual for posting these transactions through the Jaz ledger. If you find yourself hand-constructing journal entries from this skill, you have skipped step 1 — invokeplan_recipe(recipe: ...)first and let the engine emit the entries.
This skill provides Jaz-contextual recipes with full accounting logic. For API field names and payloads, load the jaz-api skill alongside this one. For the operational close workflows that invoke these recipes (month-end close, GST/VAT filing, year-end close), load the jaz-jobs skill.
When to Use This Skill
- Setting up prepaid expenses, deferred revenue, or accrued liabilities
- Modeling loan repayment schedules with amortization tables
- Implementing IFRS 16 lease accounting (right-of-use assets + lease liabilities)
- Recording hire purchase agreements (ownership transfers, depreciate over useful life)
- Recording depreciation using methods Jaz doesn't natively support (declining balance, 150DB)
- Managing fixed deposit placements with interest accrual schedules (IFRS 9)
- Disposing of fixed assets — sale, scrap, or write-off with gain/loss calculation (IAS 16)
- FX revaluation of non-AR/AP monetary items at period-end (IAS 21)
- Calculating expected credit loss provisions on aged receivables (IFRS 9)
- Accruing employee leave and bonus obligations (IAS 19)
- Recognizing provisions at PV with discount unwinding (IAS 37)
- Declaring and paying dividends
- Recording and reconciling intercompany transactions across entities
- Capitalizing costs in WIP and transferring to fixed assets
- Any scenario that groups related transactions in a capsule over multiple periods
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/accrued-expenses.md 12 KB
- references/asset-disposal.md 15 KB
- references/bad-debt-provision.md 12 KB
- references/bank-loan.md 13 KB
- references/building-blocks.md 18 KB
- references/capital-wip.md 15 KB
- references/declining-balance.md 12 KB
- references/deferred-revenue.md 11 KB
- references/dividend.md 11 KB
- references/employee-accruals.md 11 KB
- references/fixed-deposit.md 11 KB
- references/fx-revaluation.md 9.4 KB
- references/hire-purchase.md 7.3 KB
- references/ifrs16-lease.md 13 KB
- references/intercompany.md 12 KB
- references/prepaid-amortization.md 9.8 KB
- references/provisions.md 12 KB
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.
- today Changed ded602437d9f
- yesterday Changed a52077b722aa
- 3d ago Changed becea450073a
- 4d ago Changed fa31eacd1dde
- 6d ago Changed 6aee4c47a1e5
- 7d ago Changed 07cfbedb5eae
- 11d ago First seen · 360 lines · 120 tokens per session scan A fb53022d4e19
jaz-recipes is a skill published in the GitHub repository teamtinvio/jaz-ai (7 stars, last pushed today), licensed MIT. It adds 120 tokens to every session and 7,222 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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