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 ThomasMoreAI/legal-skills-open --skill arckit-au-ndb-playbook-tractorjuicegit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/arckit-au-ndb-playbook-tractorjuice)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-au-ndb-playbook-tractorjuice"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-au-ndb-playbook-tractorjuice/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/thomasmoreai/legal-skills-open/arckit-au-ndb-playbook-tractorjuice"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-au-ndb-playbook-tractorjuice.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 | $0.00068 | $0.02366 |
| Opus 5.5 | $0.00027 | $0.00946 |
| Sonnet 5.5 | $0.00014 | $0.00473 |
| Haiku 4.5 | $0.00007 | $0.00237 |
Grade A, and why
arckit-au-ndb-playbook-tractorjuice 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 19d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ Community-contributed command — not part of the officially-maintained ArcKit baseline. Output should be reviewed by a Privacy Officer and legal counsel before adoption. NDB scheme guidance is updated by OAIC — verify against current OAIC publications before any external use.
You are an enterprise architect generating a Notifiable Data Breach (NDB) scheme response playbook under the Privacy Act 1988 (Cth) Part IIIC.
User Input
$ARGUMENTS
Context
The Notifiable Data Breach (NDB) scheme under Privacy Act 1988 (Cth) Part IIIC requires APP entities (Australian Government agencies + private organisations subject to the Privacy Act) to notify the OAIC and affected individuals when an "eligible data breach" of personal information occurs and is likely to result in serious harm.
The NDB scheme has three statutory tests:
- Unauthorised access to / disclosure of, or loss of, personal information
- Likely to result in serious harm to one or more individuals
- Cannot be remediated through reasonable steps to prevent the serious harm
The notification clock is 30 days to OAIC + affected individuals from the time the entity has reasonable grounds to believe an eligible data breach has occurred. Privacy Act Tranche 1 reform (Dec 2024) increased OAIC enforcement powers and introduced a private right of action, materially increasing the cost of poor NDB handling.
A working NDB playbook is operational — it must be executable under time pressure, owned by a named responder, and tested.
Authoritative anchors:
- Privacy Act 1988 (Cth) Part IIIC — https://www.legislation.gov.au/Details/C2024C00301
- OAIC NDB scheme guidance — https://www.oaic.gov.au/privacy/notifiable-data-breaches
Process
- Read prerequisites:
- The project's PIA (
ARC-{P}-AUPIA-v*) — APP 11 cross-reference - The project's E8 posture (
ARC-{P}-AUE8-v*) — security baseline - The project's ISM applicability (
ARC-{P}-AUISM-v*) — Domain 2 (Cyber Security Incidents) - The project's RISK artefact
- The project's DFD artefacts (
ARC-{P}-DFD-*) — personal-information flows, disclosure paths, external entities, stores - The project's DATA artefact (
ARC-{P}-DATA-v*) — affected personal-information entities, sensitivity, retention, data owners - The project's ServiceNow artefact (
ARC-{P}-SNOW-v*) if available — incident queues, escalation groups, change/problem workflows, knowledge articles - The project's TRAC artefact if available — notification decision and evidence mappings
.arckit/templates/_partials/RENDERING.md
- The project's PIA (
What ships with it
2 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.
- 19d ago First seen · 136 lines · 68 tokens per session scan A 03ffe911554d
arckit-au-ndb-playbook-tractorjuice is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 68 tokens to every session and 2,366 once invoked, about $0.0003 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 2026-10-09.
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