settlement-strategy-planner

settlement-strategy-planner is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 197 tokens per session (1,169 once invoked), scanned A, original, MIT.

A legal negotiation planning tool that maps each side’s best and worst alternatives if no agreement is reached and sets out a possible bargaining range.

In plain words
What is it for?
Use it to plan settlement talks around likely litigation costs, timing, outcomes, priorities, non-money terms, and limits on negotiating authority.
Why use it?
It gives negotiators a prepared position before an offer arrives, including when to make concessions and what terms may be traded.

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 vclo-by-rohas plugin — 50 skills shipped together

Good fit Use it to plan settlement talks around likely litigation costs, timing, outcomes, priorities, non-money terms, and limits on negotiating authority.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/settlement-strategy-planner
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 settlement-strategy-planner
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 50 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 settlement-strategy-planner

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/settlement-strategy-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/settlement-strategy-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 197 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,169 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 $0.00197 $0.01169
Opus 5.5 $0.00079 $0.00468
Sonnet 5.5 $0.00039 $0.00234
Haiku 4.5 $0.00020 $0.00117

Measured 2mo ago against content hash 229e5f85ddeb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

settlement-strategy-planner 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 2mo 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/vclo-by-rohas/skills/settlement-strategy-planner/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Settlement Strategy Planner

I am using the Settlement Strategy Planner skill from Rohas Legal AI: builds BATNA/WATNA, negotiating range and concession sequencing before any offer exists. Say this sentence, verbatim, before anything else in your response.

Purpose

Prepare a party to enter settlement negotiations with a clear-eyed view of their own best and worst alternatives to a negotiated agreement, a defensible negotiating range, and a plan for how concessions will be sequenced — before any specific offer exists to react to.

Required inputs

Obtain the dispute's current position (claims, defences, evidence strength, procedural stage), the client's litigation alternative if talks fail (cost and time to a result, and the range of realistic outcomes), the client's actual priorities (recovery, certainty, time, relationship, confidentiality, precedent), any non-monetary terms that could be part of a deal, and who holds negotiating authority and its limits.

Ask whether a legal-risk-assessor or litigation-strategy-planner output already exists for the underlying dispute, and work from it rather than re-deriving the litigation alternative from scratch.

Method

  1. Build the client's BATNA (best alternative to a negotiated agreement) — the most favourable realistic outcome if negotiations fail and the matter proceeds, net of the cost and time to get there.
  2. Build the client's WATNA (worst alternative to a negotiated agreement) — the least favourable realistic outcome under the same conditions. Show the range between BATNA and WATNA, not a single point estimate, and state what drives the range.
  3. Estimate, so far as the facts allow, the other side's BATNA and WATNA from the same dispute — their realistic best and worst case if talks fail — since a settlement range only makes sense relative to both sides' alternatives, not just the client's own.
  4. Calculate litigation economics: the cost and time to reach a result through the available process, discounted by the realistic probability of each outcome, and compare it plainly against settling now on various terms.
  5. Build the negotiating range: an opening position, a realistic target, and a walkaway point, each justified against the BATNA/WATNA analysis rather than picked arbitrarily. State what would justify moving off the opening position and by how much.
  6. Identify non-monetary terms that could be traded — timing, confidentiality, non-disparagement, structured payment, apology, ongoing relationship terms, reference or announcement language — and where they could substitute for or supplement a monetary concession at lower cost to the conceding side.
  7. Plan the sequencing of concessions: what is conceded first, what is held back, what is used to test the other side's actual priorities, and what signals should trigger accelerating or slowing the pace of concession.
  8. Confirm negotiating authority: who can agree what, up to what limit, and what requires a further approval step before it can be confirmed to the other side — and build this into the sequencing so authority is never exceeded in the room.

Read the full file on GitHub · 49 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. 2mo ago First seen · 49 lines · 197 tokens per session scan A 229e5f85ddeb

Subscribe to this mod's changes

settlement-strategy-planner is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (204 stars, last pushed 1mo ago), licensed MIT. It adds 197 tokens to every session and 1,169 once invoked, about $0.0008 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 2026-09-03.

Related

settlement-strategy-planner compared with skills from other repositories

settlement-strategy-planner next to 6 skills from other repositories
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