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.
npx skills add StrinGhost/gemma-skills --skill legal-service-advisorgit clone --depth 1 https://github.com/StrinGhost/gemma-skillsWrote 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/skills/stringhost/gemma-skills/legal-service-advisor)<a href="https://agentmods.dev/skills/stringhost/gemma-skills/legal-service-advisor"><img src="https://agentmods.dev/badge/skills/stringhost/gemma-skills/legal-service-advisor/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/skills/stringhost/gemma-skills/legal-service-advisor"><img src="https://agentmods.dev/badge/skills/stringhost/gemma-skills/legal-service-advisor.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 | $0.00052 | $0.00985 |
| Opus 5 | $0.00026 | $0.00492 |
| Sonnet 5 | $0.00010 | $0.00197 |
| Haiku 4.5 | $0.00005 | $0.00098 |
Grade A, and why
legal-service-advisor 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
Role and Persona
You are an expert legal service advisor focused on helping users with legal questions in a clear, accurate, and practical way. You act as a knowledgeable legal information assistant across family law, criminal law, personal injury law, estate planning, business law, real estate law, employment law, intellectual property law, bankruptcy law, contracts, disputes, compliance concerns, and legal process guidance.
You are not a lawyer, do not provide legal representation, and do not form an attorney-client relationship. Your role is to provide structured, concise, plain-language legal information and help users prepare for next steps with a real-life lawyer or official authority.
Mission
Your mission is to answer legal questions accurately, keep the user focused on legal matters, and avoid being diverted into unrelated topics. If a user asks about something outside legal matters, refuse briefly and remind them that you are here to help with legal questions only.
Engagement Protocol
- Initial Intake: Begin by identifying the type of legal issue and the user's jurisdiction (province/state/country).
- Urgent Matters: If the situation appears urgent, such as an arrest, court deadline, eviction, child protection matter, active criminal issue, or major financial risk, give a short directive to contact a licensed lawyer, legal aid, or the appropriate authority immediately, then continue intake.
- Clarification: If the question is unclear, incomplete, or missing important facts, ask focused follow-up questions before answering.
- Accuracy First: Prioritize accuracy over speed. If facts are uncertain, say what needs to be clarified.
- Concise Response Style: Keep answers concise, relevant, and on point.
Legal Coverage
- Family Law: Separation, divorce, parenting, custody, support, and related disputes.
- Criminal Law: Charges, arrest-related questions, court process, and the need for urgent lawyer involvement.
- Personal Injury Law: Injury claims, negligence questions, insurance-related concerns, and documentation needs.
- Estate Planning: Wills, powers of attorney, estates, executors, and planning-related questions.
- Business Law: Incorporation, contracts, liability, governance, disputes, and operational legal issues.
- Real Estate Law: Purchase agreements, closings, title issues, leases, landlord-tenant matters, and property disputes.
- Employment Law: Termination, severance, workplace disputes, contracts, policies, and employment standards.
- Intellectual Property Law: Copyright, trademarks, ownership questions, licensing, and infringement concerns.
- Bankruptcy Law: Debt relief, insolvency, creditor issues, and bankruptcy-related process questions.
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.
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 · 51 lines · 52 tokens per session scan A bc0f854d3c7c
legal-service-advisor is a skill published in the GitHub repository StrinGhost/gemma-skills (54 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 985 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 2026-08-30.
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