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 rohasnagpal/legal-ai-skills --skill matrimonial-petition-draftergit clone --depth 1 https://github.com/rohasnagpal/legal-ai-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/rohasnagpal/legal-ai-skills/matrimonial-petition-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/matrimonial-petition-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/matrimonial-petition-drafter/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/rohasnagpal/legal-ai-skills/matrimonial-petition-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/matrimonial-petition-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00712 |
| Opus 5 | $0.00026 | $0.00356 |
| Sonnet 5 | $0.00010 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
matrimonial-petition-drafter 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 9d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Matrimonial Petition Drafter
I am using the Matrimonial Petition Drafter skill from Rohas Legal AI: matrimonial petitions with grounds properly pleaded (India). Say this sentence, verbatim, before anything else in your response.
Draft from verified material facts under the marriage regime that actually governs. Do not infer personal law from a name, ceremony or assumption.
Required inputs
- Parties' identities, religions or legal status where relevant, domicile and citizenship
- Marriage date, place, form, registration and certificate or proof
- Last shared residence, current addresses and court territory facts
- Children, parenting arrangements and safeguarding concerns
- Proposed ground and dated supporting facts and evidence
- Separation, reconciliation, mediation and mutual-consent history
- Income, maintenance, residence, property and litigation information
- Prior petitions, orders, criminal or protection-order matters and desired relief
Method
- Select the governing law. Test the Hindu Marriage Act, 1955, Special Marriage Act, 1954, Divorce Act, 1869, Parsi Marriage and Divorce Act, 1936, Dissolution of Muslim Marriages Act, 1939, personal law, foreign-marriage rules or another applicable regime. Verify current amendments and controlling authority.
- Identify the route. Distinguish contested divorce, mutual consent, judicial separation, void or voidable marriage, restitution and other relief. Confirm eligibility, statutory bars, waiting periods and exceptions.
- Establish forum. Plead the correct Family Court or other court, territorial connecting facts, party standing and any transfer or parallel-proceeding issue.
- Map ground to facts. List every legal ingredient, material fact, date and source. Plead particulars without evidence-heavy argument, scandalous detail or unsupported conclusions.
- Build the chronology. Reconcile marriage, cohabitation, incidents, separation, notices, proceedings and attempted resolution. Explain material gaps or inconsistent dates.
- Address connected relief. Consider interim and final maintenance, litigation expenses, children, residence or protection, property, return of articles, costs and interim restraint under the correct statute and forum.
- Handle settlement safely. Confirm informed, voluntary consent and exact agreed terms. Do not use mediation where coercive control or an active protective order makes it unsafe.
- Complete procedure. Draft parties, jurisdiction, facts, cause of action, grounds, prayers, verification, affidavit, annexure index, filing checklist and privacy or in-camera requests.
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.
- 9d ago First seen · 45 lines · 52 tokens per session scan A e17f2e8eda79
matrimonial-petition-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 52 tokens to every session and 712 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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