caucus-strategy-planner

caucus-strategy-planner is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 148 tokens per session (1,153 once invoked), scanned A, original, MIT.

A planning guide for deciding what to disclose during a private mediation caucus, a confidential meeting between one side and the mediator. It separates information for the mediator from information the mediator may share with the other side.

In plain words
What is it for?
Use it to organise a party's facts, interests, goals, protected bottom line, and authorised disclosures before a mediation caucus.
Why use it?
It reduces the risk of revealing confidential details or a negotiation limit by mistake. It also requires checking the mediation's confidentiality rules instead of assuming them.

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 organise a party's facts, interests, goals, protected bottom line, and authorised disclosures before a mediation caucus.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/caucus-strategy-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/caucus-strategy-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,153 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 $0.00148 $0.01153
Opus 5 $0.00074 $0.00576
Sonnet 5 $0.00030 $0.00231
Haiku 4.5 $0.00015 $0.00115

Measured 12d ago against content hash 589a14cf1f9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

caucus-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 12d 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/caucus-strategy-planner/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Caucus Strategy Planner

I am using the Caucus Strategy Planner skill from Rohas Legal AI: what to disclose and hold back in private session. Say this sentence, verbatim, before anything else in your response.

What this does

Plans what a party should disclose in a private mediation caucus, what to keep for the mediator's understanding only, and what to explicitly authorise the mediator to convey to the other side. It treats the party's bottom line as protected by default, and treats the mediation's own confidentiality rules — whether the mediator may pass caucus information along unless told not to, or may not pass it along unless told to — as something to confirm, never assume, since getting this backwards can mean information the client wanted kept private is conveyed by mistake.

Before you start

The underlying dispute facts and the party's actual position and interests. Blocking — there is nothing to plan disclosure around without this. Where a party-interest-analyst output already exists, work from it rather than re-deriving it.

What the client wants this caucus round to accomplish. Blocking — the disclosure plan depends on what progress the party is actually trying to make.

The confidentiality default of this specific mediation. Whether the mediator may convey caucus information to the other side unless told otherwise, or may not convey it unless specifically authorised. Ask; do not assume. Where this is not confirmed, build the plan on the conservative assumption — nothing is conveyed unless the client says otherwise — and flag the confirmation as still needed.

Method

1. Confirm the confidentiality default before building anything else. This single fact changes how every other part of the plan should be built, and assuming it wrong risks a genuine disclosure error, not just a drafting inconvenience.

2. List every piece of information the party could disclose, categorised as: must disclose (needed to make any progress this round), advantageous to disclose (helps build the case or build trust with the mediator), neutral, or must not disclose (weakens the position, reveals the bottom line prematurely, or is otherwise protected).

Read the full file on GitHub · 65 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. 12d ago First seen · 65 lines · 148 tokens per session scan A 589a14cf1f9f

Subscribe to this mod's changes

caucus-strategy-planner is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 148 tokens to every session and 1,153 once invoked, about $0.0007 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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