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 jaz-kitgit 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/jaz-kit)<a href="https://agentmods.dev/skills/teamtinvio/jaz-ai/jaz-kit"><img src="https://agentmods.dev/badge/skills/teamtinvio/jaz-ai/jaz-kit/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/jaz-kit"><img src="https://agentmods.dev/badge/skills/teamtinvio/jaz-ai/jaz-kit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 33 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00091 | $0.01383 |
| Opus 5 | $0.00046 | $0.00691 |
| Sonnet 5 | $0.00018 | $0.00277 |
| Haiku 4.5 | $0.00009 | $0.00138 |
Grade A, and why
jaz-kit 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jaz Kit
The operator layer for people who run books in Jaz. Where the other skills know how to do accounting, this one knows whose books these are, what was decided last time, and where the close left off.
The problem it solves
A close is not one conversation. Month-end runs eighteen steps over one to three days, and an accountant serving eight clients runs it eight times with eight different sets of bank accounts, materiality thresholds, and recurring accruals. Without somewhere to keep that, every session re-asks what it should already know, and every interruption loses the thread.
Jaz Kit gives each organization a folder: what the organization is, how it likes things done, what has been decided, and exactly where the current close stands.
The workspace
~/Documents/Jaz Kit/ override with JAZ_KIT_HOME
KIT.md who you are, index of organizations
_shared/policies/ skills/ firm-wide, applies to every organization
orgs/<slug>/
ORG.md the close config + session journal
.env JAZ_API_KEY — this company's key (gitignored)
policies/ rules/ skills/ how this organization works
scripts/ work/ automations · scratch (swept on exit, after asking)
closes/<period>/
CLOSE.md resumable state for this close
workpapers/ permanent audit file
The company's key lives in its own folder. A jk- key is org-scoped — it reaches exactly one company's books — so the folder you open decides which ledger you touch; there is no profile to switch and no --org to get wrong. The .env is gitignored and its value is never printed. (On a default Mac, ~/Documents syncs to iCloud, so the key syncs too — bounded and revocable, and set JAZ_KIT_HOME outside ~/Documents to avoid it. See references/workspace.md.)
Operations
Every flow is specified in references/flows.md — that file is the procedure, and Claude Code's /jk-* commands are thin pointers into it. In agents without slash commands, the trigger phrases below reach the same flows.
What ships with it
5 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.
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 7e7dd7e402d0
- 2d ago Changed d956267a5630
- 3d ago Changed 4b2600cee3db
- 5d ago Changed 383615f72f27
- 6d ago Changed e8a768197d41
- 10d ago First seen · 84 lines · 91 tokens per session scan A 6299a9c21421
jaz-kit is a skill published in the GitHub repository teamtinvio/jaz-ai (7 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 1,383 once invoked, about $0.0005 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.
Other skills, from other repositories
finance-expert
Expert-level financial systems, FinTech, banking, payments, and financial technology. Use when the user mentions fintech, banking, payments, trading, or accounting, or when the task involves Financial Systems, FinTech Stack, Key Challenges, or Data Handling.
correction-memory
A local memory system that stores tax-accountant corrections to transaction classifications. It matches future transactions to earlier vendor or description patterns.
nightly-batch
Batch-process all client companies overnight. Fetches unprocessed transactions from freee API, runs the full classification pipeline, and generates a summary for morning review.
tax-classifier
A system for assigning Japanese business transactions to accounting categories, called 勘定科目, and consumption-tax treatments. It checks exclusions, past corrections, keywords, and then uses AI when needed.
csv-importer
A tool for importing transaction CSV files—spreadsheet files separated by commas—from Japanese accounting software and classifying every imported row.
monthly-closer
A monthly accounting report generator that summarizes transactions by account category and compares them with the previous month.