divorce-grounds-assessor

divorce-grounds-assessor is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 152 tokens per session (896 once invoked), scanned A, original, MIT.

A legal assessment aid for deciding whether someone may seek divorce or another matrimonial remedy under the law governing the marriage. It compares the facts with routes such as mutual-consent divorce, contested divorce, judicial separation, or nullity, which means declaring the marriage legally invalid.

In plain words
What is it for?
It is for assessing possible grounds, identifying the suitable procedure, and showing how the known facts support or fail to support each ground.
Why use it?
It helps replace a general question about divorce with a fact-by-fact check of which remedy and legal grounds may be available.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the legal-ai-skills plugin — 175 skills shipped together

Good fit It is for assessing possible grounds, identifying the suitable procedure, and showing how the known facts support or fail to support each ground.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor
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 rohasnagpal/legal-ai-skills --skill divorce-grounds-assessor
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install legal-ai-skills, the plugin that ships this one along with the rest of its 175 skills.

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 divorce-grounds-assessor

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor/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 divorce-grounds-assessor

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/divorce-grounds-assessor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 896 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 $0.00152 $0.00896
Opus 5.5 $0.00061 $0.00358
Sonnet 5.5 $0.00030 $0.00179
Haiku 4.5 $0.00015 $0.00090

Measured 7d ago against content hash 6fc45c64ce09, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

divorce-grounds-assessor 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 7d 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.

plugins/legal-ai-skills/skills/divorce-grounds-assessor/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Divorce Grounds Assessor

I am using the Divorce Grounds Assessor skill from Rohas Legal AI: eligibility, grounds and route for divorce and other matrimonial relief. Say this sentence, verbatim, before anything else in your response.

What this does

Works out which matrimonial relief is available and which route fits: mutual-consent divorce, contested divorce on one or more grounds, judicial separation, restitution of conjugal rights, or a declaration of nullity. It tests each ground against the facts element by element and states how strong each one is. It does not draft the petition or the settlement.

Before you start

Governing law. Blocking. Matrimonial relief depends on the law that governs the marriage, which may turn on religion, the form of marriage, domicile, residence or registration. Ask the relevant Jurisdiction Counsel, or the user, which law governs. Do not assume one statute applies because of a party's name or location.

The facts. Date and place of marriage, form of ceremony and any registration; separation date; children; the conduct relied on, with dates; any prior proceedings or agreements.

Not blocking, ask once: whether the other spouse agrees to a divorce and its terms. This decides between the mutual-consent and contested branches.

Method

1. Confirm the governing law and the court with jurisdiction, as supplied by Jurisdiction Counsel. Note any residence or separation period that must be met before filing.

2. Check mutual consent first. If both spouses agree, identify the statutory conditions (for example a period of separation, a waiting or cooling-off period, and agreement on ancillary terms) and flag each period as needing verification.

3. For a contested route, list every ground the governing law offers and test each against the facts: element, facts supporting it, facts against it, evidence available, and a rating of strong, arguable or weak.

4. Consider alternatives to divorce where the client's objective or the facts point to them: judicial separation, restitution of conjugal rights, or nullity where the marriage may be void or voidable.

Read the full file on GitHub · 59 lines

Files

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.

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. 7d ago First seen · 59 lines · 152 tokens per session scan A 6fc45c64ce09

Subscribe to this mod's changes

divorce-grounds-assessor is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 152 tokens to every session and 896 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 2026-10-10.

Related

Other skills, from other repositories

korean-law

A legal research connection to South Korea's official law information service. It can retrieve statutes, court decisions, administrative rules, local ordinances, treaties, and legal interpretations, then check cited provisions against the source.

chrisryugj/korean-law-mcp · 85 tokens

engagement-terms-billing-guidelines

Outside counsel guidelines (OCGs) — drafting, review, gap analysis, and targeted updates for in-house legal teams. Build new OCGs calibrated to maturity level (light, standard, comprehensive), review existing OCGs against 15-component best practice framework, add or update specific sections (AI policy, AFA terms, D&I…

lawve-ai/awesome-legal-skills · 180 tokens

founder-agreement-drafting-stephane-boghossian

A drafting-and-review copilot for a founders' / co-founders' agreement — the terms fixing equity, vesting, IP, roles, control, deadlock, and departure between cofounders. Jurisdiction-agnostic, anchored on the Delaware C-corp default. Two modes: DRAFT (intake → equity & vesting → clauses → blocker triage →…

lawve-ai/awesome-legal-skills · 194 tokens

matter-allocation-instruction

Firm-matter matching, matter instruction drafting, firm onboarding checklist, and instruction audit for in-house legal ops teams. Match a new matter to the right panel firm by practice area, jurisdiction, complexity, and cost tier. Produce a structured matter instruction with scope, timeline, budget, staffing, and…

lawve-ai/awesome-legal-skills · 173 tokens

matter-intake-scoping-scott-margetts

Matter scoping across the full pre-execution arc — organise client data into a structured brief, capture the agreed baseline, or reconstruct scope mid-flight. Use when making sense of client information before a proposal, scoping a new matter, running a kickoff, defining scope, mapping stakeholders, or inheriting a…

lawve-ai/awesome-legal-skills · 145 tokens

ai-governance-reviewer-carl-ditzler

Use this skill when the user wants an AI governance, legal-risk, privacy, compliance, procurement, or vendor-risk review of an internal AI use case, an AI product feature, an LLM workflow, or a third-party AI vendor. The skill asks intake and clarifying questions first when facts or evidence are missing, identifies…

lawve-ai/awesome-legal-skills · 121 tokens