claude-submission-drafting-acor8826

claude-submission-drafting-acor8826 is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 239 tokens per session (7,488 once invoked), scanned A, original, Apache-2.0.

A multi-step drafting process for persuasive submissions and other arguments aimed at a specific reader. It uses several reviewing roles to examine facts, objections, legal issues, structure, and citations.

In plain words
What is it for?
Use it for submissions, arguments, regulatory responses, board papers, client documents, and other persuasive writing for a defined audience.
Why use it?
It helps turn a brief or draft into a clearer argument while testing the position against likely objections. It is a writing process, not a substitute for checking the law or evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Claude Code.

Good fit Use it for submissions, arguments, regulatory responses, board papers, client documents, and other persuasive writing for a defined audience.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826
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 ThomasMoreAI/legal-skills-open --skill claude-submission-drafting-acor8826
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

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 claude-submission-drafting-acor8826

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826/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 claude-submission-drafting-acor8826

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/claude-submission-drafting-acor8826.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 239 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,488 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 $0.00239 $0.07488
Opus 5.5 $0.00096 $0.02995
Sonnet 5.5 $0.00048 $0.01498
Haiku 4.5 $0.00024 $0.00749

Measured 19d ago against content hash 5b80ed5edf9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claude-submission-drafting-acor8826 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 19d 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.

au/general/skills/claude-submission-drafting-acor8826/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Submission Drafting (multi-agent)

Overview

This skill turns a brief or a draft into a piece that persuades a specific reader the way Chester Porter persuaded a tribunal: by courtesy, undisputed fact, and frank pre-emptive concession, never by force. It is register-general — the reader may be an opponent's solicitor, a regulator, a board, a client, a counterparty, or the reader of an essay. It runs as an orchestrated, multi-agent pass: the Lead Strategist decomposes the task, hardens and confirms the frame, runs legal intelligence (Stage 0) where any load-bearing point turns on law, dispatches the intelligence roster, reconciles, builds the funnel, and self-audits the prose against Porter's doctrines (plus a release-blocking citation gate) before release.

The team is a fixed roster of five persuasion agents (full briefs in references/agent-*.md):

  1. Lead Strategist — "Smiling Funnel-Web" — the orchestrator. Frames the goal, decomposes it, converges, builds the funnel, makes the final call.
  2. Fact Finder — verifies facts, strips hyperbole, sequences the fact base chronologically.
  3. Devil's Advocate — maps every objection the reader could raise, each with its disarming concession.
  4. Diplomat — the register pass: courtesy, charm, humility; aggression rewritten into reasonable queries.
  5. Plain Speaker — the clarity pass: jargon and friction removed so the logic lands first time.

Three further elements are dispatched conditionally, not part of the persuasion roster: the Frame Challenger and Issue Spotter (frame-hardening passes before checkpoint 1 — references/frame-hardening.md), and the legal-intelligence roster borrowed by reference from the australian-legal-research skill (Stage 0 — references/legal-intelligence.md).

Every agent reads references/porter-method.md (Porter's doctrines as nine operational rules) before writing anything — the orchestrator owns strategy; the canon owns method. (This is the analogue of a mechanics reference every agent loads first.)

Read the full file on GitHub · 219 lines

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. 19d ago First seen · 219 lines · 239 tokens per session scan A 5b80ed5edf9b

Subscribe to this mod's changes

claude-submission-drafting-acor8826 is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 239 tokens to every session and 7,488 once invoked, about $0.0010 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 2026-10-09.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens