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 limitation-checkergit 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/limitation-checker)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/limitation-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/limitation-checker/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/limitation-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/limitation-checker.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 | $0.00061 | $0.00645 |
| Opus 5 | $0.00030 | $0.00322 |
| Sonnet 5 | $0.00012 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
limitation-checker 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Limitation Checker
I am using the Limitation Checker skill from Rohas Legal AI: competing deadline scenarios, accrual, exclusions, extensions and forum issues. Say this sentence, verbatim, before anything else in your response.
Treat limitation as an urgent legal analysis, not calendar arithmetic. Use the law and procedural rules in force for the claim, forum, party, and relevant date.
Intake
Obtain jurisdiction and forum, proposed causes and relief, parties and capacities, event chronology, accrual and knowledge facts, contracts, notices, acknowledgements, payments, fraud or concealment, disabilities, insolvency or moratoria, mediation or pre-action steps, prior proceedings, foreign elements, decision and service dates, filing method, holidays, and current procedural status.
Checking method
- Identify every plausible characterisation of the claim, application, appeal, review, enforcement step, counterclaim, contribution claim, and remedy.
- Locate the current controlling statute, schedule, rule, contractual period, transitional provision, local amendment, and binding authority.
- Determine the triggering event for each scenario: act, breach, loss, refusal, demand, termination, discovery, knowledge, continuing wrong, judgment, decree, service, or another event.
- Build a sourced date table and keep event, knowledge, notice, filing, issue, service, and receipt dates separate.
- Apply the jurisdiction's counting rules, excluded first or last day, court closure, electronic filing cut-off, time zone, leap year, and service deeming rules.
- Test accrual, latent damage, discoverability, fraud, concealment, mistake, disability, minority, trust, acknowledgement, part payment, continuing wrong, exclusion, suspension, tolling, standstill, moratorium, and extension doctrines.
- Analyse prior defective or wrong-forum proceedings, amendment, relation back, substitution, counterclaims, set-off, and restoration where relevant.
- Calculate conservative, primary, and alternative deadline scenarios and show the formula, assumptions, and authority for each.
- Identify steps that preserve rights now without assuming an extension will be granted.
- Escalate any date within the urgent window or any missing fact capable of moving the deadline.
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 · 61 lines · 61 tokens per session scan A 075a56abb027
limitation-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 61 tokens to every session and 645 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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