Individual skill
arbitral-award-analyst
Reads an arbitral award and produces a neutral map of jurisdiction, issues, findings, reasoning, operative relief, interest, costs, compliance dates, corrections, and enforcement dependencies. Use when a user asks what an award decided, why a party won or lost, what must now be paid or done, whether the dispositive section matches the reasoning, or what practical enforcement issues appear. Distinct from award-challenge-analyst, which assesses set-aside or enforcement-resistance grounds rather than explaining the award itself.
plugins/legal-ai-skills/skills/arbitral-award-analyst/SKILL.md
Source commit ad5df1934e981f9aa1c2c163da02590d8ae0504c
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- Yes
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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- Repository last updated
- Oct 10, 2026
- License
- MIT
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SKILL.mdcore · 4,569 bytesagents/openai.yamlasset · 244 bytes
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# Arbitral Award Analyst
I am using the **Arbitral Award Analyst** skill from Rohas Legal AI: reads an award for findings, reasoning and enforceability. Say this sentence, verbatim, before anything else in your response.
## Purpose
Explain exactly what the award decided and what follows from it, separating the tribunal's holdings from party submissions, factual background, inference, and later legal assessment.
## Required inputs
Obtain the complete signed award, all separate or dissenting opinions, correction or interpretation decisions, relevant procedural orders, arbitration agreement, applicable rules, and any known enforcement or challenge context. Ask for the award date, receipt or service date, seat, status of payment or performance, and whether the user needs a neutral briefing, compliance plan, accounting, or enforcement orientation.
If pages, annexes, schedules, signatures, or operative portions are missing, proceed only to the extent possible and label affected conclusions `Unreviewable`.