verify-federal-judgment-l0cka

verify-federal-judgment-l0cka is a skill for Codex from ThomasMoreAI/legal-skills-open. It costs 145 tokens per session (1,219 once invoked), scanned A, original, Apache-2.0.

A source-checking workflow for confirming that a Federal Court of Australia or Federal Circuit and Family Court decision exists at the courts’ official websites. It matches case citations and names to the published decision.

In plain words
What is it for?
It helps verify federal court citations, use the correct official publisher, and record whether the result came from a browser-guided or manual search.
Why use it?
It reduces errors caused by wrong citations, incomplete searches, or treating a website access problem as evidence that a judgment does not exist.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps verify federal court citations, use the correct official publisher, and record whether the result came from a browser-guided or manual search.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/verify-federal-judgment-l0cka
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 verify-federal-judgment-l0cka
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Codex.

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 verify-federal-judgment-l0cka

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/verify-federal-judgment-l0cka/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/verify-federal-judgment-l0cka)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/verify-federal-judgment-l0cka"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/verify-federal-judgment-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.

agentmods 80×15 button for verify-federal-judgment-l0cka

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/verify-federal-judgment-l0cka"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/verify-federal-judgment-l0cka.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,219 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 $0.00145 $0.01219
Opus 5.5 $0.00058 $0.00488
Sonnet 5.5 $0.00029 $0.00244
Haiku 4.5 $0.00015 $0.00122

Measured 22d ago against content hash 5c78ef33a596, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

verify-federal-judgment-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.

au/litigation/skills/verify-federal-judgment-l0cka/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify Federal Judgment

Two official publishers control this skill. The Federal Circuit and Family Court publishes its judgments at fcfcoa.gov.au and answers direct requests. The Federal Court publishes through Federal Law Search on fedcourt.gov.au, which challenges automated clients — that path is human-operated browser only, and this skill never solves or bypasses the challenge. Produce a provenance record, not a bare assertion that a case "exists".

Read ../../references/case-law-verification-method.md before verifying. It defines the outcome semantics, access rules and restriction handling.

Workflow

  1. Fix the scope.
    • Accept FCA, FCAFC, FedCFamC1A, FedCFamC1F, FedCFamC2F, FedCFamC2G citations, the historical FCCA, FamCA and FamCAFC identifiers, FCR reported citations, and federal case names.
    • Return OUTSIDE SCOPE for the High Court, State or Territory courts, treatment analysis or advice.
  2. Choose the publisher path.
    • FedCFamC…, FCCA, FamCA, FamCAFC → search fcfcoa.gov.au directly. One targeted lookup per citation; never crawl listings.
    • FCA, FCAFC, FCR → Federal Law Search on fedcourt.gov.au.
      • With a human-operated browser tool available, guide the lookup through the judgments search at fedcourt.gov.au/digital-law-library/judgments/search, entering the citation without brackets in the Case Name/MNC field (for example 2023 FCA 555). The results page reports Display results X - Y of Z with the case name, reported citation and decision date. Never automate around the bot challenge; the search backend challenges non-browser clients as well.
      • Without a browser, return UNVERIFIABLE and give that search page URL and the exact search terms for a manual check. State plainly that unverifiable is not evidence of fabrication.
  3. Confirm identity.
    • Match the case name, citation, court and decision date as published.
    • For an FCR citation, resolve to the medium-neutral citation through the court's search before concluding anything.
    • Treat a supplied case name that differs materially from the published name as a qualification, and say which differs.
  4. Check restrictions before reproducing anything.
    • Family-law decisions are published under statutory anonymisation (Family Law Act 1975 (Cth) pt XIVB, s 114Q; formerly s 121 before 6 May 2024); treat the pseudonym as the official case name and never attempt to identify parties.
    • Preserve any suppression or non-publication notation found.
  5. Report using the result contract.

Read the full file on GitHub · 98 lines

Files

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.

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. 22d ago First seen · 98 lines · 145 tokens per session scan A 5c78ef33a596

Subscribe to this mod's changes

verify-federal-judgment-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 145 tokens to every session and 1,219 once invoked, about $0.0006 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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