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 arbitrator-appointment-advisorgit 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/arbitrator-appointment-advisor)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/arbitrator-appointment-advisor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/arbitrator-appointment-advisor/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/arbitrator-appointment-advisor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/arbitrator-appointment-advisor.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 | $0.00109 | $0.00774 |
| Opus 5 | $0.00055 | $0.00387 |
| Sonnet 5 | $0.00022 | $0.00155 |
| Haiku 4.5 | $0.00011 | $0.00077 |
Grade A, and why
arbitrator-appointment-advisor 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 13d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arbitrator Appointment Advisor
I am using the Arbitrator Appointment Advisor skill from Rohas Legal AI: appointment mechanics, eligibility and independence disclosure. Say this sentence, verbatim, before anything else in your response.
Purpose
Turn the arbitration agreement and applicable framework into a reliable appointment sequence, then assess candidate suitability and challenge risk without making unsupported conclusions about independence.
Required inputs
Obtain the arbitration agreement, seat, governing law, current institutional rules, number of arbitrators, appointment correspondence, relevant dates, party structure, and status of the proceeding. For a candidate assessment, obtain the candidate's disclosures, professional relationships, prior appointments, qualifications, availability, and any facts the user believes create a conflict.
Ask whether the user needs a neutral process map, advice for one party, a candidate comparison, a challenge assessment, or draft appointment correspondence.
Method
- Reproduce the appointment mechanism and identify every actor: parties, co-arbitrators, institution, court, or other appointing authority.
- Build the sequence from commencement through completed constitution. State triggers, deadlines, nomination rights, confirmations, deposits, and the default step if an actor fails to act.
- Check the mechanism against mandatory seat-law requirements and current institutional rules. Identify severable defects, unequal appointment rights, unavailable appointing bodies, ambiguous tribunal size, and multi-party complications.
- For each candidate, separate:
- contractual and rule-based qualifications;
- statutory eligibility or ineligibility;
- disclosed relationships and circumstances;
- independence and impartiality risk;
- subject-matter competence, language, availability, and fees; and
- facts still requiring direct confirmation.
- Retrieve the current official disclosure and conflict framework that actually applies. Map each fact to the specific provision or category; do not treat general familiarity with a party or sector as automatically disqualifying.
- If challenge or removal is contemplated, identify the correct procedure, decision-maker, deadline, preservation steps, effect on the arbitration, and possible later review. Distinguish challenge, termination of mandate, resignation, and replacement.
- For a vacancy, determine whether earlier hearings or orders stand, whether rehearing is required, and how the substitute is selected under the applicable framework.
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.
- 13d ago First seen · 53 lines · 109 tokens per session scan A e4497215e1e8
arbitrator-appointment-advisor is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 109 tokens to every session and 774 once invoked, about $0.0005 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 2026-08-30.
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