meeting-prep

meeting-prep is a skill for Claude Code from protomated/protomated-plugins-official. It costs 55 tokens per session (1,751 once invoked), scanned A, original, Apache-2.0.

A one-page preparation brief generated from local legal matter files and recent email before a client meeting, deposition, mediation, settlement conference, or court appearance.

In plain words
What is it for?
It helps attorneys review the matter's facts, deadlines, meeting details, and objectives in a short, structured summary.
Why use it?
It removes the need to search through scattered matter information immediately before a meeting.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the solo-attorney-starter-kit plugin — 6 skills shipped together

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.

agentmods
npx agentmods add skills/protomated/protomated-plugins-official/meeting-prep
Any agent
npx skills add protomated/protomated-plugins-official --skill meeting-prep
Clone the repo
git clone --depth 1 https://github.com/protomated/protomated-plugins-official

Made for: Claude Code.

Or install solo-attorney-starter-kit, the plugin that ships this one along with the rest of its 6 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 meeting-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/protomated/protomated-plugins-official/meeting-prep.svg)](https://agentmods.dev/skills/protomated/protomated-plugins-official/meeting-prep)
Your own site
<a href="https://agentmods.dev/skills/protomated/protomated-plugins-official/meeting-prep"><img src="https://agentmods.dev/badge/skills/protomated/protomated-plugins-official/meeting-prep.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,751 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00055 $0.01751
Opus 5 $0.00028 $0.00875
Sonnet 5 $0.00011 $0.00350
Haiku 4.5 $0.00006 $0.00175

Measured 6d ago against content hash a27a4c0f7cc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

meeting-prep 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 6d 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.

solo-attorney-starter-kit/skills/meeting-prep/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/meeting-prep — Meeting Prep Brief Generator

⚠️ AI-ASSISTED DRAFT — ATTORNEY REVIEW REQUIRED This output was generated by an AI assistant. It has not been reviewed by a licensed attorney. Verify all facts and dates before relying on this brief. This is not legal advice.

Generate a one-page pre-meeting brief by pulling context from local matter files and recent email. Designed to be scanned in two minutes before you walk into the room.

Invocation

/meeting-prep [matter folder path]
/meeting-prep [client name and meeting description]

Workflow

Step 1 — Identify the meeting

Ask or infer from the argument:

  • Who is the meeting with? (client, opposing counsel, mediator, judge, deponent)
  • What type of meeting? (client check-in, deposition, mediation, settlement conference, court hearing, intake)
  • When? (date and time)
  • Where / what format? (in-person, phone, video)

If not provided, ask before proceeding.

Step 2 — Read the matter folder

Use the Filesystem connector to locate the matter folder. Read:

  • intake-summary.md — parties, facts, claims, key deadlines (primary source)
  • Recent notes or hearing summaries
  • Any documents relevant to today's meeting (depo outline, mediation statement, motion)
  • Prior meeting notes (look for files named meeting-* or notes-*)

Step 3 — Scan recent Gmail for context

Use the Gmail connector to scan recent emails for this matter:

  • Search: [client name] OR [matter keywords] (last 14 days)
  • Look for: recent correspondence with opposing counsel, any new developments, client questions pending, court or opposing counsel communications

Note any items that have come up since the last substantive communication.

Step 4 — Identify meeting type and tailor the brief

Generate the appropriate brief format based on meeting type:


Client Meeting Brief
# Client Meeting Brief — [Client Name]
**Date:** [Date] | **Time:** [Time] | **Format:** [In-person / Phone / Video]
**Prepared:** [Today's date] — AI-assisted, attorney review required

---

## Matter Status in One Sentence
[Where the case stands right now in plain language]

## Since We Last Spoke
[Key developments since the last client communication — filings, offers, court dates, opposing counsel activity]

## Today's Agenda (suggested)
1. [Primary topic — what the client needs to hear or decide]
2. [Secondary topic]
3. [Open items / pending client actions]

## Decisions Needed from Client
- [Any decision the client must make — settlement authority, document production consent, etc.]

## Action Items Pending from Client
- [List any documents, information, or responses the client still owes]

## Things NOT to Discuss
[Any topics that should be avoided — pending privileged work, items under negotiation, anything the client asked to be handled carefully]

## Key Facts to Have Ready
- Incident date: [date]
- Statute of limitations: [date]
- Next court date / deadline: [date and description]

## Open Questions
- [Anything you need to ask or confirm during the meeting]

Read the full file on GitHub · 254 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. 6d ago First seen · 254 lines · 55 tokens per session scan A a27a4c0f7cc3

Subscribe to this mod's changes

meeting-prep is a skill published in the GitHub repository protomated/protomated-plugins-official (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,751 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

html-ppt-zhangzara-stencil-tablet

A workplace-safety compliance review for a manufacturing regulator — findings, the evidence chain, and the corrective mandate. Built as a decision-grade policy briefing deck for regulator, plant leadership.

nexu-io/open-design · 49 tokens

treatment-plans

Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and…

K-Dense-AI/scientific-agent-skills · 62 tokens

handbook-updates

Diff a proposed handbook change against the current version, flag ripple effects and state supplement impacts. Use when user says "update the handbook", "add this to the handbook", "handbook change", or has a policy ready for insertion.

anthropics/claude-for-legal · 52 tokens

software-copyright-materials

Generate guided Chinese software copyright application materials from a real project. Use this skill when the user asks for 软件著作权, 软著申请资料, 软著代码材料, 操作手册, 申请表信息, or wants Word/TXT materials for software copyright registration. The workflow analyzes the imported project, extracts real source code, creates Markdown drafts…

Fokkyp/SoftwareCopyright-Skill · 97 tokens

iflytek-contract-intelligence-review

Use when user asks to review contracts, detect contract risks, or perform compliance checks. 合同智能审核 - 对合同扫描件、图片合同、双语合同进行完整审核。 覆盖 OCR 识别、条款分析、风险检测、合规校对、翻译摘要全流程。 适用于法务审核、采购合同审查、供应链合规检查等场景。 关键词:合同审核、风险检测、条款分析、合规校对、contract review、risk detection。.

iflytek/iFly-Skills · 116 tokens

legal-writer

Legal document drafting -- contracts, memos, briefs, complaints, demand letters, opinions, discovery, settlements, ToS, privacy policies. Full pipeline: document structure, per-section writing, Bluebook citation, case law lookup (CourtListener API), regulation lookup (eCFR API), DOCX output, and TDD-style verification…

kortix-ai/suna · 161 tokens