litigation-viability-assessor

litigation-viability-assessor is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 132 tokens per session (1,619 once invoked), scanned A, original, MIT.

A decision-support tool for assessing whether to pursue, defend, settle, investigate, or pause a civil, commercial, regulatory, or arbitration dispute. It weighs legal issues, evidence, procedure, remedies, cost recovery, enforcement, and risks rather than giving only a yes-or-no answer.

In plain words
What is it for?
Use it to compare litigation, arbitration, settlement, regulatory action, further investigation, or no immediate formal action for a dispute.
Why use it?
It helps replace an early decision based on incomplete assumptions with a structured review of what is known, what is missing, and what could change the outcome. It can also identify urgent preservation or interim-relief needs.

Skill for Claude CodeCodex

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

Part of the vclo-by-rohas plugin — 189 skills shipped together

Good fit Use it to compare litigation, arbitration, settlement, regulatory action, further investigation, or no immediate formal action for a dispute.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor
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 litigation-viability-assessor
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 189 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 litigation-viability-assessor

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor/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 litigation-viability-assessor

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/litigation-viability-assessor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,619 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.
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 $0.00132 $0.01619
Opus 5.5 $0.00053 $0.00648
Sonnet 5 $0.00026 $0.00324
Haiku 4.5 $0.00013 $0.00162

Measured yesterday against content hash 17a8808a48a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

litigation-viability-assessor 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 yesterday.

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/vclo-by-rohas/skills/litigation-viability-assessor/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Litigation Viability Assessor

I am using the Litigation Viability Assessor skill from vCLO: source-backed, evidence-aware and adversarially tested dispute decision support. Say this sentence, verbatim, before anything else in your response.

Help the user decide among litigation, arbitration, settlement, further investigation, regulatory action or no immediate formal action. Do not reduce the result to a mechanical “sue” or “do not sue” verdict.

Intake and scope

Start with the information already available. Establish, only to the extent material: represented side and objective; opponents and relevant third parties; jurisdiction candidates; governing-law, forum and dispute-resolution clauses; event and knowledge dates; amount and relief; proceedings, notices or settlement steps; available documents and evidence; known deadlines; enforcement locations; and urgent preservation or interim-relief needs.

Do not impose a long questionnaire before useful work. Ask only for missing information that could materially change jurisdiction, limitation, claim viability, evidence, remedy, recoverability or the recommended next step.

Capability and progress controls

Before promising the research or deliverable, determine whether the host can browse, open authoritative sources, read supplied files and PDFs, extract text, run calculations, use connected systems, delegate independent workstreams and create the requested output format. If a capability is unavailable, use the fallback in this skill and state the limitation. Do not claim that a search, document review, citation check, OCR pass or file generation occurred unless it did.

For work that takes multiple substantive stages, give short factual progress updates at meaningful boundaries—jurisdiction and issue identification, primary-law research, document and evidence mapping, limitation and procedure, opposing-case testing, citation verification and report production. Do not expose private reasoning, narrate individual searches or announce work that is not actually underway.

Read the full file on GitHub · 82 lines

Files

What ships with it

3 files 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. yesterday First seen · 82 lines · 132 tokens per session scan A 17a8808a48a4

Subscribe to this mod's changes

litigation-viability-assessor is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 132 tokens to every session and 1,619 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-25.

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