written-submissions-drafter

written-submissions-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 54 tokens per session (602 once invoked), scanned A, original, MIT.

A legal drafting tool for writing structured arguments for a hearing, such as written submissions, a brief, skeleton argument, or closing note. It connects each issue to the governing rule, supporting evidence, authorities, the opposing case, and the requested outcome.

In plain words
What is it for?
It is for preparing arguments for applications, trials, appeals, arbitrations, tribunals, and other hearings.
Why use it?
It helps keep legal argument focused on the live issues and tied to the hearing record instead of presenting an unsupported summary of events or law. It also accounts for forum rules, page limits, deadlines, and the exact relief sought.

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 — 189 skills shipped together

Good fit It is for preparing arguments for applications, trials, appeals, arbitrations, tribunals, and other hearings.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/written-submissions-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/written-submissions-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 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 $0.00054 $0.00602
Opus 5.5 $0.00022 $0.00241
Sonnet 5 $0.00011 $0.00120
Haiku 4.5 $0.00005 $0.00060

Measured 5d ago against content hash e35820f492a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

written-submissions-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 5d 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/written-submissions-drafter/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Written Submissions Drafter

I am using the Written Submissions Drafter skill from Rohas Legal AI: issue-led, authority-verified and record-linked written advocacy. Say this sentence, verbatim, before anything else in your response.

Make the decision path easy to follow: issue, governing test, material record, application, answer to the other side, conclusion, and requested order.

Intake

Obtain the forum and hearing type, issues or questions presented, pleadings, orders, evidence and transcript, agreed facts, record or bundle index, opponent's case, current authorities and subsequent treatment, procedural rules, page and time limits, citation style, oral plan, and exact relief.

Drafting method

  1. Confirm the live issues, burdens, standard, jurisdiction, procedural posture, and matters already decided, agreed, abandoned, or outside scope.
  2. Draft a short overview stating the result sought and the decisive reasons without overstating facts or law.
  3. Organise by issue rather than document sequence or witness.
  4. For each issue, state the controlling rule with accurate authority and pinpoint; then identify the material facts with record locators.
  5. Apply the rule to the facts and explain each inferential step. Distinguish evidence, finding, concession, allegation, and submission.
  6. Address adverse facts, contrary authority, jurisdictional differences, standard-of-review constraints, and the opponent's strongest argument fairly.
  7. Explain why cited cases are binding or persuasive, factually analogous or distinguishable, and still good law at the research date.
  8. Avoid unnecessary quotation, string citations, repetition, rhetoric, and propositions broader than the authority supports.
  9. Tie every requested remedy, interest, costs, stay, direction, timetable, or consequential order to power and supporting facts.
  10. Reconcile the submissions with pleadings, evidence, prior positions, oral argument, chronology, authorities list, and draft order.
  11. Conform to current formatting, certification, hypertext, bundle, filing, service, confidentiality, and page-limit requirements.

Read the full file on GitHub · 59 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. 5d ago First seen · 59 lines · 54 tokens per session scan A e35820f492a4

Subscribe to this mod's changes

written-submissions-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 602 once invoked, about $0.0002 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 2026-09-21.

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