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 check-australian-privacy-principles-l0ckagit 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/check-australian-privacy-principles-l0cka)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/check-australian-privacy-principles-l0cka"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/check-australian-privacy-principles-l0cka/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/check-australian-privacy-principles-l0cka"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/check-australian-privacy-principles-l0cka.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 | $0.00104 | $0.01162 |
| Opus 5.5 | $0.00042 | $0.00465 |
| Sonnet 5.5 | $0.00021 | $0.00232 |
| Haiku 4.5 | $0.00010 | $0.00116 |
Grade A, and why
check-australian-privacy-principles-l0cka 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 22d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check Australian Privacy Principles
Verify every fact-triggered APP framework layer before applying an APP. Never assume that the text, application perimeter, instruments, codes, future changes or guidance remains unchanged.
Read references/app-verification-method.md before starting.
Workflow
-
Fix dates and facts.
- Record the legal as-at date and decision horizon, including deployment, contract, retention and review dates actually known.
- Identify the relevant entity, conduct, location, information, exemption, code and instrument facts. Do not invent a future horizon.
-
Establish official versions.
- Invoke
$check-commonwealth-legislationfor the Privacy Act, Schedule 1 and every material application provision at the as-at date. - Invoke
$trace-commonwealth-legislative-changethrough the horizon when a version boundary, amendment or commencement may intervene. - Check current Privacy Regulations and the OAIC registered-code inventory. Treat OAIC APP text and Guidelines as regulator material, not legislation.
- Invoke
-
Build provenance-bound inventories.
- Inspect complete Schedule 1 boundaries and enumerate every displayed APP without a hard-coded count or list.
- Capture the official canonical and final URL, effective period, retrieval timestamp, raw document SHA-256 and the complete text needed for fingerprinting. Do not reproduce full statutory text in the work product.
- Fingerprint the application perimeter, applicable regulations and codes, and versioned guidance as separate layers using the reference schema.
-
Compare deterministically.
python3 <skill-root>/scripts/compare_app_inventory.py validate <inventory.json> python3 <skill-root>/scripts/compare_app_inventory.py compare \ <earlier.json> <later.json> --horizon <YYYY-MM-DD>validatereturns onlyINVENTORY SCHEMA VALID. The script cannot prove that supplied content is official and never independently returnsAPP FRAMEWORK VERIFIED. The helper is optional, read-only and offline. Without command execution, perform the same comparison manually and record that the scripted check was not run. -
Apply fail-closed statuses.
- Use
APP FRAMEWORK VERIFIEDonly after legislation checks establish the official source, applicable period, complete Schedule and every fact-triggered layer. - Use
APP FRAMEWORK CHANGE DETECTED – LEGAL CONTENT REVIEW REQUIREDfor an APP text, application-perimeter, regulation or applicable-code change. - Use
APP TEXT UNCHANGED – APPLICATION LAW REVIEW REQUIREDfor a mapped future change or unresolved application layer. - Use
GUIDANCE REFRESH REQUIREDfor a guidance-only change, separately from statutory status. - Use
APP FRAMEWORK NOT VERIFIED – DO NOT RELYwhenever any required source, version, Schedule boundary, layer or comparison is unresolved.
- Use
What ships with it
4 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.
- 22d ago First seen · 111 lines · 104 tokens per session scan A 9feb81a6ca53
check-australian-privacy-principles-l0cka is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,162 once invoked, about $0.0004 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 2026-10-06.
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