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.
git clone --depth 1 https://github.com/edenbuilds/arya-aiWrote 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/commands/edenbuilds/arya-ai/practice-labour-case)<a href="https://agentmods.dev/commands/edenbuilds/arya-ai/practice-labour-case"><img src="https://agentmods.dev/badge/commands/edenbuilds/arya-ai/practice-labour-case/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/commands/edenbuilds/arya-ai/practice-labour-case"><img src="https://agentmods.dev/badge/commands/edenbuilds/arya-ai/practice-labour-case.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 | $0.00054 | $0.06295 |
| Opus 5 | $0.00027 | $0.03148 |
| Sonnet 5 | $0.00011 | $0.01259 |
| Haiku 4.5 | $0.00005 | $0.00630 |
Grade A, and why
practice-labour-case 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- practice-labour-case — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 590 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slash Command: /practice-labour-case - Mock Labour Court Practice for Lawyers
⚠️ DEPRECATED COMMAND
This command has been replaced by the universal /practice-lawyer command which supports mock court practice across ALL areas of law (labour, consumer, civil, writ, criminal), not just labour law.
Use instead:
/practice-lawyer <case-scenario> [difficulty]Why switch?
- ✅ Works across ALL court types (Labour Court, Consumer Forum, Civil Court, High Court, Criminal Court)
- ✅ AI judge adapts behavior to court type (different formality levels, procedures)
- ✅ AI opposing counsel uses domain-appropriate strategies
- ✅ Same quality simulation, broader practice opportunities
- ✅ Single command for all your litigation practice needs
Example:
/practice-lawyer I represent a worker terminated for misconduct after defective domestic enquiry. Practice cross-examining the enquiry officer. Difficulty: Medium(System auto-detects this is labour law and simulates Labour Court proceedings)
This command will continue to work for backward compatibility, but is no longer actively maintained. New features will only be added to the universal commands.
Purpose
Simulate realistic labour court proceedings for lawyers to practice arguments, cross-examination, objection handling, and judicial reasoning. Provides AI-powered opposing counsel, judge responses, and case law challenges for comprehensive litigation skills development in wrongful termination, retrenchment, and industrial disputes cases.
Usage
/practice-labour-case <case-scenario> [difficulty: easy/medium/hard]
What This Command Does
When you invoke /practice-labour-case, I will create:
- Complete Case Simulation:
- Realistic fact pattern (wrongful termination, retrenchment, domestic enquiry defect)
- Worker's statement (examination-in-chief affidavit)
- Employer's defense (written statement)
- Documentary evidence (appointment letter, salary slips, termination letter - described)
- Procedural history (conciliation failed, labour court reference filed)
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.
- 5d ago First seen · 590 lines · 0 tokens per session scan A 2c39ab318339
practice-labour-case is a command published in the GitHub repository edenbuilds/arya-ai (3 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 6,295 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
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