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 maintenance-calculatorgit 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/maintenance-calculator)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/maintenance-calculator"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/maintenance-calculator/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/maintenance-calculator"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/maintenance-calculator.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 | $0.00047 | $0.00669 |
| Opus 5 | $0.00023 | $0.00334 |
| Sonnet 5 | $0.00009 | $0.00134 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
maintenance-calculator 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintenance Calculator
I am using the Maintenance Calculator skill from Rohas Legal AI: works through a maintenance claim on supplied income and needs. Say this sentence, verbatim, before anything else in your response.
Calculate traceable scenarios under the correct legal route. Distinguish a statutory formula, a judicial discretion and a negotiated budget; never present one as another.
Required inputs
- Jurisdiction, claimant, respondent, relationship and legal route
- Existing orders, agreements, applications and effective dates
- Gross and net income by source, tax, recurring benefits and irregular receipts
- Assets, liabilities, housing, business interests and earning-capacity evidence
- Itemised adult and child needs with supporting periods and documents
- Parenting schedule, supervision, education and other documented child-specific costs
- Other legal dependants, direct payments, benefits and tax consequences
- Requested start date, duration, indexation and arrears position
Use a common monthly or annual period and currency. Mark every unverified figure.
Method
- Choose the governing route. Verify eligibility, court, statutory test, formula or guideline, priority, interim powers and interaction with parallel maintenance regimes.
- Normalise resources. Reconcile payslips, returns, accounts and bank records. Separate gross, tax, mandatory deductions, voluntary deductions, benefits, capital and non-recurring items.
- Test earning capacity carefully. Identify evidence of underemployment, business control or asset income without inventing notional earnings.
- Build needs schedules. Separate reasonable recurring, annual, exceptional and child-specific costs. Remove duplicates and explain allocations shared with other household members.
- Map direct support. Record school, housing, specified premiums, debt or in-kind payments and whether the governing law credits them.
- Calculate scenarios. Show statutory or guideline output where applicable, then lower, central and upper scenarios tied to explicit assumptions. Test both households' post-payment cash flow.
- Handle timing. Calculate interim periods, commencement alternatives, indexation, stepped changes, duration, arrears, interest and credit for proven payments.
- Stress test. Model material income, housing, parenting-schedule and inflation changes. Identify review or variation triggers.
- Build the evidence plan. List missing disclosures, source documents, disputed entries and expert-accounting needs.
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 · 48 lines · 47 tokens per session scan A 66ed1c9fb0c9
maintenance-calculator is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 47 tokens to every session and 669 once invoked, about $0.0002 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.
Other skills, from other repositories
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
gesellschaftsrechtliche-satzungen-agb
Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.
memstack-business-gdpr
Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…