arbitrator-appointment-advisor

arbitrator-appointment-advisor is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 109 tokens per session (774 once invoked), scanned A, original, MIT.

A guide for working out how an arbitration tribunal is formed and whether arbitrator candidates meet the required qualifications and independence standards. An arbitral tribunal is the person or panel that decides an arbitration dispute.

In plain words
What is it for?
Use it to map an arbitrator appointment process, compare candidates, review disclosures, assess challenge risks, or draft appointment correspondence.
Why use it?
It turns contract and legal rules into a clear appointment sequence and highlights possible conflicts, challenges, vacancies, or replacement steps.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the rohas-legal-ai plugin — 149 skills shipped together

Good fit Use it to map an arbitrator appointment process, compare candidates, review disclosures, assess challenge risks, or draft appointment correspondence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/arbitrator-appointment-advisor
Install

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.

Any agent
npx skills add rohasnagpal/legal-ai-skills --skill arbitrator-appointment-advisor
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 skills.

Wrote 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.

agentmods badge for arbitrator-appointment-advisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/arbitrator-appointment-advisor/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/arbitrator-appointment-advisor)
Your own site
<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.

agentmods 80×15 button for arbitrator-appointment-advisor

Your own site · 80×15
<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>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 774 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 13d ago against content hash e4497215e1e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

plugins/rohas-legal-ai/skills/arbitrator-appointment-advisor/SKILL.md · 53 lines

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

  1. Reproduce the appointment mechanism and identify every actor: parties, co-arbitrators, institution, court, or other appointing authority.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. For a vacancy, determine whether earlier hearings or orders stand, whether rehearing is required, and how the substitute is selected under the applicable framework.

Read the full file on GitHub · 53 lines

Files

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.

Changes

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.

  1. 13d ago First seen · 53 lines · 109 tokens per session scan A e4497215e1e8

Subscribe to this mod's changes

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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