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 jusso-dev/awesome-Australian-compliance --skill privacy-act-appsgit clone --depth 1 https://github.com/jusso-dev/awesome-Australian-complianceWrote 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/jusso-dev/awesome-australian-compliance/privacy-act-apps)<a href="https://agentmods.dev/skills/jusso-dev/awesome-australian-compliance/privacy-act-apps"><img src="https://agentmods.dev/badge/skills/jusso-dev/awesome-australian-compliance/privacy-act-apps/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/jusso-dev/awesome-australian-compliance/privacy-act-apps"><img src="https://agentmods.dev/badge/skills/jusso-dev/awesome-australian-compliance/privacy-act-apps.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 | $0.00249 | $0.01819 |
| Opus 5.5 | $0.00100 | $0.00728 |
| Sonnet 5.5 | $0.00050 | $0.00364 |
| Haiku 4.5 | $0.00025 | $0.00182 |
Grade A, and why
privacy-act-apps 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 1mo 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Privacy Act 1988 and the Australian Privacy Principles
The Privacy Act 1988 (Cth) is the Australian Commonwealth's general privacy statute. It contains 13 Australian Privacy Principles (APPs) in Schedule 1, which bind APP entities (most Commonwealth agencies and most private-sector organisations with annual turnover above AUD 3 million, plus specific categories such as health service providers and credit-related entities). The Office of the Australian Information Commissioner (OAIC) is the regulator.
The Notifiable Data Breaches (NDB) scheme in Part IIIC of the Act applies where an eligible data breach occurs.
This skill helps an agent reason about APP obligations, draft privacy artefacts, and respond to suspected breaches.
When to use this skill
- The user is reviewing whether a system or feature complies with one or more APPs.
- The user is writing a Privacy Impact Assessment, a collection notice, a privacy policy, or an NDB notification.
- The user is designing data flows that handle personal information and wants the privacy controls baked in early.
- The user is responding to a suspected breach and needs the NDB scheme criteria.
- The user is integrating a third-party SaaS or cloud service that will receive personal information.
- The codebase contains signals that engage personal information handling: user registration / authentication, contact-form processing, customer support exports, marketing list management, analytics that captures user identifiers.
What this skill knows
- The 13 Australian Privacy Principles, one per file under
apps/. - The Notifiable Data Breaches scheme, in
ndb-scheme.md. - How APP obligations are usually evidenced in software (data flow diagrams, retention policies, access controls, third-party agreements).
- The relationship between Privacy Act obligations and ISM controls (the same encryption, access-control and logging evidence often satisfies both).
In scope: APP entities under the Privacy Act 1988, OAIC guidance, NDB scheme.
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.
- apps/app-01-open-and-transparent-management.md 2.5 KB
- apps/app-02-anonymity-and-pseudonymity.md 2.1 KB
- apps/app-03-collection-of-solicited-information.md 2.9 KB
- apps/app-04-unsolicited-personal-information.md 2.3 KB
- apps/app-05-notification-of-collection.md 2.6 KB
- apps/app-06-use-or-disclosure.md 2.8 KB
- apps/app-07-direct-marketing.md 3.0 KB
- apps/app-08-cross-border-disclosure.md 3.9 KB
- apps/app-09-government-related-identifiers.md 2.6 KB
- apps/app-10-quality.md 2.2 KB
- apps/app-11-security.md 3.6 KB
- apps/app-12-access.md 2.9 KB
- apps/app-13-correction.md 2.7 KB
- apps/README.md 2.9 KB
- examples/ndb-walkthrough-credential-exposure.md 4.9 KB
- examples/pia-outline-customer-portal.md 5.7 KB
- ndb-scheme.md 5.8 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.
- 1mo ago First seen · 135 lines · 0 tokens per session scan A 08ad3fe587aa
privacy-act-apps is a skill published in the GitHub repository jusso-dev/awesome-Australian-compliance (3 stars, last pushed 3mo ago), licensed MIT. It adds 249 tokens to every session and 1,819 once invoked, about $0.0010 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 2026-08-31.
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