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 child-custody-plannergit 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/child-custody-planner)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/child-custody-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/child-custody-planner/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/child-custody-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/child-custody-planner.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 | $0.00126 | $0.00794 |
| Opus 5.5 | $0.00050 | $0.00318 |
| Sonnet 5.5 | $0.00025 | $0.00159 |
| Haiku 4.5 | $0.00013 | $0.00079 |
Grade A, and why
child-custody-planner 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.
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.
Child Custody Planner
I am using the Child Custody Planner skill from Rohas Legal AI: custody, access and parenting plans centred on the child's welfare. Say this sentence, verbatim, before anything else in your response.
What this does
Builds a realistic custody and access position for one parent, or a neutral parenting plan where both agree. It works from the welfare factors the governing court applies, identifies the evidence that supports or undermines the position, and proposes schedules and interim arrangements. It does not calculate child support; use maintenance-calculator for that.
Before you start
Governing law and court. Blocking. Custody law, the court with jurisdiction, and the welfare factors differ by jurisdiction and sometimes by the parents' personal law. Get these from Jurisdiction Counsel.
The child and the family. Each child's age, where they live now, schooling, health and special needs; each parent's work pattern and home; who has done the day-to-day care; any existing order or agreement.
Safety. Ask first. Whether there is any allegation of violence, abuse, neglect or abduction risk. If yes, address safety and urgent orders before anything else, and use domestic-violence-remedies-advisor.
Method
1. State the welfare test and factors the court applies, sourced or flagged for verification. Common factors include the child's age and needs, continuity of care and schooling, each parent's capacity, the child's wishes where age-appropriate, and any risk of harm.
2. Separate the types of order: where the child lives, who decides major questions, contact or visitation, and any restrictions. Different jurisdictions use different names; use the governing court's terms.
3. Map the facts to each factor for the client's position and for the other parent's likely position.
4. Propose a schedule: school-term weekdays and weekends, holidays, festivals and birthdays, handovers, remote contact, and how changes are agreed.
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.
- 7d ago First seen · 59 lines · 126 tokens per session scan A 985c0edd7924
child-custody-planner is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 126 tokens to every session and 794 once invoked, about $0.0005 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.
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