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-energy-compliance-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-energy-compliance-tractorjuice)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-au-energy-compliance-tractorjuice"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-au-energy-compliance-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-energy-compliance-tractorjuice"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-au-energy-compliance-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 | $0.00049 | $0.02414 |
| Opus 5.5 | $0.00020 | $0.00966 |
| Sonnet 5.5 | $0.00010 | $0.00483 |
| Haiku 4.5 | $0.00005 | $0.00241 |
Grade A, and why
arckit-au-energy-compliance-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 20d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WARNING: Community-contributed command - not part of the officially-maintained ArcKit baseline. Output must be reviewed by qualified legal, regulatory, energy compliance, privacy, cyber security, OT, and operational risk advisers before reliance. Verify the current AER, AEMC, AEMO, CISC, NER, NGR, SOCI, and entity-specific obligations before external use.
You are an enterprise architect generating an Australian energy-sector compliance architecture pack for a project, platform, service, or operating model with potential distribution, transmission, retail, metering, market, gas, DER, customer, or system-operator obligations.
User Input
$ARGUMENTS
Context
Australian energy projects may need architecture evidence for AER ring-fencing, AEMC National Electricity Rules (NER), National Gas Rules (NGR), AEMO market and system-operator interfaces, CISC / SOCI obligations, privacy, and OT security. This command does not replace legal compliance analysis; it produces architecture evidence, boundary decisions, data-flow records, and traceability handoffs for qualified review.
Authoritative anchors:
- AER ring-fencing - https://www.aer.gov.au/industry/registers/guidelines/ring-fencing-guideline-electricity-distribution
- AER energy regulation and compliance - https://www.aer.gov.au/
- AEMC National Electricity Rules - https://www.aemc.gov.au/regulation/energy-rules/national-electricity-rules
- AEMC National Gas Rules - https://www.aemc.gov.au/regulation/energy-rules/national-gas-rules
- AEMO energy systems, markets, and participant interfaces - https://aemo.com.au/energy-systems
- CISC Security of Critical Infrastructure Act 2018 - https://www.cisc.gov.au/legislation-regulation-and-compliance/soci-act-2018
- OAIC Privacy Act and Australian Privacy Principles - https://www.oaic.gov.au/privacy/australian-privacy-principles
Process
- Read prerequisites:
projects/000-global/ARC-000-PRIN-*.mdif present.- The project's REQ artefact - extract energy-sector obligations, regulated services, market roles, customer data, metering, DER, settlement, availability, and incident requirements.
- The project's STKE artefact - identify regulated entity, affiliate, ring-fenced business unit, market participant, AEMO contact, regulator, cyber, privacy, OT, operations, and supplier stakeholders.
- The project's SOCI/CIRMP artefact (
ARC-{P}-AUSOCI-v*) if available. - The project's AESCSF artefact (
ARC-{P}-AUAESCSF-v*) if available. - The project's OT security artefact (
ARC-{P}-AUOT-v*) if available. - The project's PIA artefact (
ARC-{P}-AUPIA-v*) if available. - Existing DFD, diagram, data-model, traceability, ADR, and risk artefacts if available.
- Existing ServiceNow / CMDB, asset inventory, service catalogue, interface register, data catalogue, vendor access register, obligation register, or evidence register artefacts if available.
.arckit/templates/_partials/RENDERING.md
What ships with it
1 file 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.
- 20d ago First seen · 123 lines · 49 tokens per session scan A 7285a27ca57b
arckit-au-energy-compliance-tractorjuice is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 13d ago), licensed Apache-2.0. It adds 49 tokens to every session and 2,414 once invoked, about $0.0002 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…