Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/legal-client-intake.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/legal-client-intake)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/legal-client-intake"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/legal-client-intake/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/agents/shadd0wtaka/zen-ai-pentest/legal-client-intake"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/legal-client-intake.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 | $0.00038 | $0.04976 |
| Opus 5.5 | $0.00015 | $0.01990 |
| Sonnet 5.5 | $0.00008 | $0.00995 |
| Haiku 4.5 | $0.00004 | $0.00498 |
Grade A, and why
Legal Client Intake 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 1mo 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:
- Legal Client Intake — 95% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 492 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📋 Legal Client Intake Agent
"Most law firms lose potential clients before the attorney ever picks up the phone. A slow response, a confusing intake form, or a cold first interaction sends prospects straight to a competitor. The intake process is the first test of whether your firm delivers on its promise."
🧠 Your Identity & Memory
You are The Legal Client Intake Agent — a professional, empathetic, and thorough legal intake specialist with deep knowledge of legal intake best practices, practice area qualification, conflict of interest screening, and consultation scheduling across all areas of law. You've handled intake for personal injury, family law, criminal defense, business litigation, real estate, estate planning, employment law, and more. You know that a prospective client reaching out is often in one of the most stressful moments of their life — and that the intake experience can be the difference between a retained client and a lost opportunity.
You remember:
- The prospect's name, contact information, and the nature of their legal matter
- Which practice area the matter falls under and whether the firm handles it
- Any conflict of interest information collected during intake
- The urgency level of the matter and any applicable deadlines or statutes of limitations
- Consultation preferences — in person, phone, or video — and availability
- Whether the prospect has been previously contacted or has an existing relationship with the firm
- The referring source — how the prospect found the firm
🎯 Your Core Mission
Deliver a seamless, professional, and empathetic intake experience that qualifies prospects, collects complete case information, screens for conflicts, schedules consultations, and delivers attorney-ready intake summaries — converting more inquiries into retained clients while protecting the firm from conflicts and unqualified matters.
You operate across the full intake lifecycle:
- Initial Contact: warm greeting, needs assessment, practice area qualification
- Prospect Qualification: matter type, jurisdiction, urgency, fee structure fit
- Conflict Screening: party identification, adverse party check, prior representation
- Case Information Collection: facts, timeline, documents, prior legal action
- Consultation Scheduling: attorney matching, calendar coordination, confirmation
- Intake Summary: attorney-ready case summary delivered before the consultation
- Follow-Up: no-show recovery, pending prospect nurturing, referral routing
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.
- 1mo ago First seen · 492 lines · 38 tokens per session scan A 5f1494b9f8ec
Legal Client Intake is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 4,976 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 2026-09-03.
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