Agent skill

Litigation Viability Assessor

by rohasnagpal in rohasnagpal/legal-ai-skills

Assesses whether and how to pursue, defend, settle or further investigate a civil, commercial, regulatory or arbitral dispute.

MITAuto-check passedLegal & Compliance

Install Litigation Viability Assessor

skills CLI
$ npx skills add rohasnagpal/legal-ai-skills --skill litigation-viability-assessor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rohasnagpal/legal-ai-skills litigation-viability-assessor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/legal-ai-skills/skills/litigation-viability-assessor .claude/skills/litigation-viability-assessor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
litigation-viability-assessor
GitHub stars
180
Token cost
~2.2k tokens
SKILL.md length
1,030 words
Files
4 (incl. references)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Assesses whether and how to pursue, defend, settle or further investigate a civil, commercial, regulatory or arbitral dispute.

  • Works in 10 steps: Build a source-linked chronology with… → Determine governing law, forum,… → Identify credible claims, defences and… → …
  • Lawyers and clients is this case worth pursuing?
  • SKILL.md covers Intake and scope, Capability and progress controls, Jurisdiction and research gate and Assessment method, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Litigation Viability Assessor is an agent skill from rohasnagpal/legal-ai-skills. Assesses whether and how to pursue, defend, settle or further investigate a civil, commercial, regulatory or arbitral dispute. Produces a source-backed litigation viability assessment covering jurisdiction, claims, defences, counterclaims, limitation, procedure, evidence, remedies, recoverability, enforcement, adverse arguments and practical next steps. Use for lawyers' and clients' “is this case worth pursuing?”, “should we defend or settle?”, pre-action case assessment, litigation funding or lawyer-briefing…

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/assessment-framework.md` and `references/report-specification.md`).

It sits in Legal & Compliance, covering Legal research. The repository describes itself as: Set Up an AI-Powered Full-Service Law Firm in 90 Seconds. The licence is MIT.

When your agent uses it

  • Lawyers and clients is this case worth pursuing?
  • Should we defend
  • Pre-action case assessment
  • Litigation funding

Example prompts

  • “and clients”
  • “is this case worth pursuing?”
  • “should we defend or settle?”
  • “/litigation-viability-assessor”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Build a source-linked chronology with chronology-builder; separate user statements, documentary facts, allegations, disputed facts…
  2. Determine governing law, forum, arbitration and conflicts questions with forum-jurisdiction-analyst and, where relevant…
  3. Identify credible claims, defences and counterclaims with issue-spotter. For each, state the verified legal elements, supporting and…
  4. Map the record to those elements using evidence-organizer. Review authenticity, admissibility, preservation and potentially adverse…
  5. Test limitation, notice, pre-action, exhaustion, mediation, filing, service and interim-relief issues using limitation-checker and the…
  6. Assess remedies and supported quantum with damages-quantifier; distinguish legal availability, factual proof and realistic recovery.
  7. Analyse enforceability and practicality: opponent solvency, identifiable assets, asset location, insurance, judgment or award enforcement…
  8. Test the strongest reasonable opposing case, procedural objections and counterclaims with adversarial-reviewer.
  9. Compare litigation, arbitration, settlement, regulatory and evidence-gathering routes. Use settlement-evaluator only when an actual offer…
  10. Apply authority-validator, citation-integrity-checker, assumption-flagger and consistency-checker proportionately before consolidation.

What it can do on your machine

Read from SKILL.md and the folder at commit ad5df19. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Litigation Viability Assessor loads about 2.2k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 210 tokens; SKILL.md has 1,030 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~210
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rohasnagpal/legal-ai-skills at commit ad5df19, republished under its MIT licence (© rohasnagpal). 1,030 words, ~2,243 tokens.

Download SKILL.mdSave it as .claude/skills/litigation-viability-assessor/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
litigation-viability-assessor
description
Assesses whether and how to pursue, defend, settle or further investigate a civil, commercial, regulatory or arbitral dispute. Produces a source-backed litigation viability assessment covering jurisdiction, claims, defences, counterclaims, limitation, procedure, evidence, remedies, recoverability, enforcement, adverse arguments and practical next steps. Use for lawyers' and clients' “is this case worth pursuing?”, “should we defend or settle?”, pre-action case assessment, litigation funding or lawyer-briefing requests. When a person asks “should I sue?” about their own dispute, should-i-sue is the front door and uses this skill for the analysis. Not for promising an outcome, replacing a full litigation strategy after the route is chosen, or deciding substantive law without jurisdiction verification.

Litigation Viability Assessor

Check first: if the user is a person asking about their own dispute in words such as "Should I sue?", "do I have a case" or "is it worth suing", stop here and read and follow should-i-sue instead. It is the front door for that question and uses this skill for the analysis.

I am using the Litigation Viability Assessor skill from Rohas Legal AI: 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.

If subagents are unavailable, perform the same necessary workstreams sequentially and keep their findings distinct until consolidation.

Jurisdiction and research gate

Do not apply substantive law until the governing law and forum have been identified as far as the record permits. Where local law is material, load the relevant India, US or UK Counsel instructions and follow the central legal-research protocol and that jurisdiction’s authoritative-source guide.

Verify current and historically applicable legislation, cases, procedural rules, limitation rules and regulator material from primary sources where available. Record every material source actually used, its authority level, URL, access date, proposition and verification status. Search for authority that weakens the user’s position as well as authority that supports it.

If live research is unavailable, continue with factual organisation, document review, issue spotting, evidence mapping and questions for counsel, but label legal propositions requiring research UNVERIFIED — LIVE LEGAL RESEARCH UNAVAILABLE. Do not cite law from memory as verified.

Assessment method

Use the assessment framework. Coordinate only the workstreams the matter requires:

  1. Build a source-linked chronology with chronology-builder; separate user statements, documentary facts, allegations, disputed facts, assumptions and inference.
  2. Determine governing law, forum, arbitration and conflicts questions with forum-jurisdiction-analyst and, where relevant, arbitration-clause-reviewer.
  3. Identify credible claims, defences and counterclaims with issue-spotter. For each, state the verified legal elements, supporting and contrary facts, available and missing evidence, likely objections, remedies and dependencies.
  4. Map the record to those elements using evidence-organizer. Review authenticity, admissibility, preservation and potentially adverse material where material.
  5. Test limitation, notice, pre-action, exhaustion, mediation, filing, service and interim-relief issues using limitation-checker and the applicable current procedural sources. Present alternative date calculations where a trigger or rule is disputed.
  6. Assess remedies and supported quantum with damages-quantifier; distinguish legal availability, factual proof and realistic recovery.
  7. Analyse enforceability and practicality: opponent solvency, identifiable assets, asset location, insurance, judgment or award enforcement, cross-border steps, cost, duration, complexity, reputation and commercial relationships. Do not assert assets, insurance or solvency without evidence.
  8. Test the strongest reasonable opposing case, procedural objections and counterclaims with adversarial-reviewer.
  9. Compare litigation, arbitration, settlement, regulatory and evidence-gathering routes. Use settlement-evaluator only when an actual offer is being evaluated and recovery-strategy-planner when enforcement or collectability is material.
  10. Apply authority-validator, citation-integrity-checker, assumption-flagger and consistency-checker proportionately before consolidation.

If a route has already been chosen and the user needs a complete case plan, hand off to litigation-strategy-planner or the relevant arbitration workflow rather than duplicating it.

Show full SKILL.md (295 more words)Show less

Assessment language

Rate evidence by issue as Strong, Moderate, Weak, Missing or Potentially Adverse, with a short reason and source locator. Do not convert these labels into a numerical win probability or composite score.

Explain what the available material supports, the principal weakness, the strongest opposing argument, what could materially change the assessment and which decision belongs to the client or qualified lawyer. Never state that a party will win or that litigation is easy.

Use prominent flags only when supported: URGENT LIMITATION ISSUE, JURISDICTION UNCERTAIN, ARBITRATION CLAUSE, MANDATORY PRE-ACTION STEP, CRITICAL EVIDENCE MISSING, POTENTIAL COUNTERCLAIM, INSOLVENCY / RECOVERY RISK, URGENT INJUNCTION ISSUE, UNVERIFIED LAW, SOURCE CONFLICT or CROSS-BORDER ENFORCEMENT ISSUE.

Deliverable

First provide a concise preliminary assessment: jurisdiction, dispute, credible claims or issues, strongest supporting factors, main weaknesses, strongest opposing arguments, urgent issues, critical missing evidence and priority next steps.

Then prepare the full report using the report specification and quality gate. When the user requests a file or the matter warrants a reusable work product, use the bundled Litigation Viability Report template and route final production through legal-document-producer for HTML, DOCX or PDF. Generate only formats supported by an available tool and never claim production that did not occur.

Guardrails

  • Do not invent facts, authorities, quotations, dates, documents, source access, costs, asset positions or procedural steps.
  • Do not treat the user’s allegation as proof or omit potentially adverse evidence.
  • Do not list remote or speculative causes of action merely to appear comprehensive.
  • Do not state a limitation deadline as final unless the rule and material dates are verified; identify the earliest plausible deadline where uncertainty creates urgency.
  • Do not equate legal merits with commercial viability or enforceability.
  • Do not file, serve, contact a party, send the report or commence a proceeding without separate authority.

© rohasnagpal, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/legal-ai-skills/skills/litigation-viability-assessor of rohasnagpal/legal-ai-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/assessment-framework.md
  • references/report-specification.md

Open the folder on GitHubat commit ad5df19

Compare with similar skills

Litigation Viability Assessor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Litigation Viability Assessor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Litigation Viability Assessor this skillrohasnagpal/legal-ai-skills180—~2.2kAutomated safety check: PassMIT
Tw Legal RAGaa0101181514/tw-legal-rag328—~580Automated safety check: PassCustom licence
Design Award SearchSeanJ1ang/design-judge-skills712—~3kAutomated safety check: PassApache-2.0
China Lawyer AnalystCSlawyer1985/china-lawyer-analyst196—~3.3kAutomated safety check: PassNone
Billing And Litigation BudgetTHUYRan/Legal-Skills-Chinese874—~5kAutomated safety check: PassNone
Legal Issue ResearchGolden2002/legal-research-skill156—~6.8kAutomated safety check: PassMIT

Similar skills

  • Tw Legal RAG

    aa0101181514/tw-legal-rag

    Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.

    328 GitHub stars~580 tokensUpdated today
    Legal & ComplianceAuto-check passed
  • Design Award Search

    SeanJ1ang/design-judge-skills

    Find and verify award-winning designs in the same or adjacent functional category through eight explicit relevance dimensions: problem and user, core function, sensing technology, intervention…

    712 GitHub stars~3k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • China Lawyer Analyst

    CSlawyer1985/china-lawyer-analyst

    通过中国法律视角分析事件,运用成文法解释、指导案例参照、请求权基础分析等方法, 理解权利义务、评估责任风险、识别法律依据并推荐合规策略。

    196 GitHub stars~3.3k tokensUpdated 8 mo ago
    Legal & ComplianceAuto-check passed
  • Billing And Litigation Budget

    THUYRan/Legal-Skills-Chinese

    A skill your agent uses when the user needs to track or manage attorney hours, expert fees, and investigation costs; control litigation spend; or prepare timesheets or expense statements for clients.

    874 GitHub stars~5k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Legal Issue Research

    Golden2002/legal-research-skill

    中国法律全领域系统性检索专家. An agent skill from Golden2002/legal-research-skill.

    156 GitHub stars~6.8k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Tax Law Research

    Serein-81/financial_rag

    Searches current Chinese tax laws, rates and policy changes with Tavily web search, prioritizing government sources and flagging outdated or conflicting results.

    148 GitHub stars~997 tokensUpdated 4 mo ago
    Legal & ComplianceAuto-check: notes

More from rohasnagpal/legal-ai-skills

All 11 skills in this repo
  • Learn Law With Rohas

    rohasnagpal/legal-ai-skills

    Acts as an interactive legal tutor for learning a law, legal subject, doctrine, judgment, procedure, or legal concept.

    180 GitHub stars~2.5k tokensUpdated today
    Auto-check passed
  • Clause Comparator

    rohasnagpal/legal-ai-skills

    Compares the same clause or provision across draft rounds, precedents, public agreements or a portfolio and reports what differs in wording and effect.

    180 GitHub stars~2.7k tokensUpdated today
    Auto-check passed
  • Contract Drafter

    rohasnagpal/legal-ai-skills

    Drafts a complete contract from a term sheet, negotiated heads or plain instructions — parties, recitals, definitions, operative clauses, schedules and boilerplate — in a specified posture and…

    180 GitHub stars~3.6k tokensUpdated today
    Auto-check passed
  • Legal Document Producer

    rohasnagpal/legal-ai-skills

    Produces polished legal deliverables from completed or supplied content by applying an authorised template, styles, numbering, headers, footers, signature blocks, schedules and exhibits; creates or…

    180 GitHub stars~1.4k tokensUpdated today
    Auto-check passed
  • M And A Diligence Checker

    rohasnagpal/legal-ai-skills

    Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked…

    178 GitHub stars~1.5k tokensUpdated yesterday
    Auto-check passed
  • Negotiation Position Planner

    rohasnagpal/legal-ai-skills

    Builds an opening position, fallback, minimum acceptable position, walk-away line and concession logic for contract negotiations.

    178 GitHub stars~2.3k tokensUpdated yesterday
    Auto-check passed

Questions about Litigation Viability Assessor

What does Litigation Viability Assessor do?

Assesses whether and how to pursue, defend, settle or further investigate a civil, commercial, regulatory or arbitral dispute. Litigation Viability Assessor is an agent skill from rohasnagpal/legal-ai-skills. Assesses whether and how to pursue, defend, settle or further investigate a civil, commercial, regulatory or arbitral dispute.

When should I use Litigation Viability Assessor?

Litigation Viability Assessor fits situations like: lawyers and clients is this case worth pursuing?; should we defend; pre-action case assessment; litigation funding.

How do I install Litigation Viability Assessor in Claude Code?

Run `npx skills add rohasnagpal/legal-ai-skills --skill litigation-viability-assessor -a claude-code`. Or copy the skill folder (plugins/legal-ai-skills/skills/litigation-viability-assessor in rohasnagpal/legal-ai-skills) into .claude/skills/litigation-viability-assessor in your project. Claude Code loads it when a task matches its description.

How do I install Litigation Viability Assessor in Codex?

Run `npx skills add rohasnagpal/legal-ai-skills --skill litigation-viability-assessor -a codex`. Or copy the skill folder (plugins/legal-ai-skills/skills/litigation-viability-assessor in rohasnagpal/legal-ai-skills) into .agents/skills/litigation-viability-assessor in your project. Codex loads it when a task matches its description.

Can I use Litigation Viability Assessor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rohasnagpal/legal-ai-skills --skill litigation-viability-assessor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/litigation-viability-assessor, .gemini/skills/litigation-viability-assessor, .github/skills/litigation-viability-assessor and .opencode/skills/litigation-viability-assessor in your project.

What does Litigation Viability Assessor need to run?

SKILL.md names no scripts, command-line tools or credentials: Litigation Viability Assessor is instructions for the agent only.

Does Litigation Viability Assessor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Litigation Viability Assessor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Litigation Viability Assessor use?

Litigation Viability Assessor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Litigation Viability Assessor use?

About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Litigation Viability Assessor?

Skills that share tags, products or a category with Litigation Viability Assessor: Tw Legal RAG (aa0101181514/tw-legal-rag, 328 stars), Design Award Search (SeanJ1ang/design-judge-skills, 712 stars), China Lawyer Analyst (CSlawyer1985/china-lawyer-analyst, 196 stars) and Billing And Litigation Budget (THUYRan/Legal-Skills-Chinese, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Litigation Viability Assessor?

rohasnagpal (a GitHub user) maintains it in rohasnagpal/legal-ai-skills, which has 180 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 10, 2026.

Source: rohasnagpal/legal-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.