adr-brief-drafter

adr-brief-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 188 tokens per session (1,792 once invoked), scanned A, original, MIT.

A drafting aid for a party's written brief to a mediator or conciliator before a dispute session. Mediation and conciliation are different settlement processes, and the brief is adapted to the process and to who will read it.

In plain words
What is it for?
Preparing a confidential or shared dispute brief covering the party's position, chronology, evidence, negotiation history, interests, and obstacles to settlement.
Why use it?
It prevents the brief from using the wrong process assumptions or revealing sensitive material to the other side. It gives the neutral a reliable account of the position, facts, interests, evidence, and settlement barriers.

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 Preparing a confidential or shared dispute brief covering the party's position, chronology, evidence, negotiation history, interests, and obstacles to settlement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/adr-brief-drafter
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 adr-brief-drafter
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 adr-brief-drafter

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/adr-brief-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/adr-brief-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 188 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,792 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 $0.00188 $0.01792
Opus 5 $0.00094 $0.00896
Sonnet 5 $0.00038 $0.00358
Haiku 4.5 $0.00019 $0.00179

Measured 12d ago against content hash 210a3877e7f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

adr-brief-drafter 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/adr-brief-drafter/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADR Brief Drafter

I am using the ADR Brief Drafter skill from Rohas Legal AI: brief putting a party's position to a mediator or conciliator, adapted to the process and to whether it's shared or confidential. Say this sentence, verbatim, before anything else in your response.

What this does

Drafts the brief that gives a mediator or conciliator enough reliable context to work the dispute effectively. Two decisions govern everything else in the document and must both be made before drafting starts: which process this is (mediation or conciliation — the neutral's role, statutory or institutional confidentiality protections, and procedural conventions differ between them and should not be assumed interchangeable), and who will read the brief (confidential to the neutral only, or shared with the other party). Getting either wrong produces a document that either wastes its usefulness to the neutral or damages the party's position if the other side reads it.

Before you start

Which process — mediation or conciliation. Ask, and do not assume they work the same way. Where the process is governed by a specific statutory or institutional framework (for example, conciliation under Part III of India's Arbitration and Conciliation Act, 1996, or a mediation conducted under the Mediation Act, 2023 or an institution's own rules), flag its confidentiality and disclosure provisions as a verification point rather than assuming a generic default.

Whether the brief is confidential to the neutral only, or will be shared with the other party. Blocking, and the first thing to confirm after the process itself — it changes what belongs in the document more than any other instruction could. If the user is not sure which they want, say plainly that this decision has to be made before drafting starts; a brief drafted for one purpose is not safely repurposed for the other.

The facts, the party's position, and their interests. Blocking. Where a party-interest-analyst output already exists, work from it rather than re-deriving it — but note that underlying interests may only belong in a neutral-only brief, not one shared with the other side.

Read the full file on GitHub · 68 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 · 68 lines · 188 tokens per session scan A 210a3877e7f2

Subscribe to this mod's changes

adr-brief-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 188 tokens to every session and 1,792 once invoked, about $0.0009 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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