arckit-au-energy-compliance-tractorjuice

arckit-au-energy-compliance-tractorjuice is a skill for Claude Code from ThomasMoreAI/legal-skills-open. It costs 49 tokens per session (2,414 once invoked), scanned A, original, Apache-2.0.

An enterprise-architecture workflow for documenting compliance needs in Australian energy projects. It covers electricity, gas, retail, metering, market, customer and system-operator contexts, with links to the relevant regulatory boundaries and evidence.

In plain words
What is it for?
Use it to create architecture packs, data-flow records, control boundaries and traceability evidence for an energy platform, service or operating model.
Why use it?
Energy projects may need to satisfy several regulators, market rules, privacy duties and cybersecurity requirements at the same time. The workflow makes those boundaries and review points visible without replacing legal advice.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to create architecture packs, data-flow records, control boundaries and traceability evidence for an energy platform, service or operating model.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/arckit-au-energy-compliance-tractorjuice
Install

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.

Any agent
npx skills add ThomasMoreAI/legal-skills-open --skill arckit-au-energy-compliance-tractorjuice
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code.

Wrote 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.

agentmods badge for arckit-au-energy-compliance-tractorjuice

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-au-energy-compliance-tractorjuice/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-au-energy-compliance-tractorjuice)
Your own site
<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.

agentmods 80×15 button for arckit-au-energy-compliance-tractorjuice

Your own site · 80×15
<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>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,414 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 20d ago against content hash 7285a27ca57b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

au/energy/skills/arckit-au-energy-compliance-tractorjuice/SKILL.md · 123 lines

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:

Process

  1. Read prerequisites:
    • projects/000-global/ARC-000-PRIN-*.md if 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

Read the full file on GitHub · 123 lines

Files

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.

Changes

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.

  1. 20d ago First seen · 123 lines · 49 tokens per session scan A 7285a27ca57b

Subscribe to this mod's changes

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.

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