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/critique-lawyer)<a href="https://agentmods.dev/commands/edenbuilds/arya-ai/critique-lawyer"><img src="https://agentmods.dev/badge/commands/edenbuilds/arya-ai/critique-lawyer/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/critique-lawyer"><img src="https://agentmods.dev/badge/commands/edenbuilds/arya-ai/critique-lawyer.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 | $0.00057 | $0.04816 |
| Opus 5 | $0.00028 | $0.02408 |
| Sonnet 5 | $0.00011 | $0.00963 |
| Haiku 4.5 | $0.00006 | $0.00482 |
Grade A, and why
critique-lawyer 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 11d 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:
- critique-lawyer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command: Universal Legal Argument Critique
Purpose
Critique legal arguments, strategies, and written submissions across ALL legal domains (labour, consumer, civil, writ, criminal, property, IP, corporate). Provides detailed feedback on structure, persuasiveness, legal accuracy, case law mastery, and logical coherence with actionable improvement suggestions.
Usage
/critique-lawyer [paste your argument or describe your strategy]
What This Command Does
1. Domain Auto-Detection
Analyzes your argument to identify legal domain:
- Labour law arguments (domestic enquiry, retrenchment, statutory dues)
- Consumer law arguments (RERA, product defects, service deficiency)
- Civil law arguments (contract breach, specific performance, injunctions)
- Writ petitions (Mandamus, Certiorari, Habeas Corpus, constitutional grounds)
- Criminal defense arguments (bail, acquittal, evidence challenges)
2. Multi-Dimensional Evaluation
Scores argument on 5 dimensions (1-10 scale each):
1. Structure (20% weight):
- IRAC framework compliance (Issue-Rule-Application-Conclusion)
- Logical flow (does each point build on previous?)
- Opening strength (hook, roadmap, theme)
- Closing impact (summary, call to action)
2. Persuasiveness (25% weight):
- Rhetorical effectiveness (ethos, pathos, logos)
- Storytelling quality (narrative arc, humanizing facts)
- Emotional appeal (appropriate vs manipulative)
- Counterargument handling (anticipate and rebut opposing points)
3. Legal Accuracy (30% weight):
- Statutory citations (correct section numbers, act names)
- Case law relevance (landmark vs obscure, binding vs persuasive)
- Legal principle application (does case law support your point?)
- Factual accuracy (do facts match legal claims?)
4. Case Law Mastery (15% weight):
- Citation quality (party names, year, court, judgment reference)
- Ratio decidendi vs obiter dicta (binding principle vs passing remarks)
- Distinguishing adverse precedents (how well did you differentiate?)
- Precedent hierarchy (Supreme Court > High Court > Tribunal)
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.
- 11d ago First seen · 472 lines · 57 tokens per session scan A 3a2d40f2cb43
critique-lawyer is a command published in the GitHub repository edenbuilds/arya-ai (3 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 4,816 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 2026-08-31.
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