case-prep

case-prep is a command for Claude Code from shashionline/indian-law-plugin. It costs 0 tokens per session (4,863 once invoked), scanned A, a copy of case-prep, MIT.

A command for practising management-consulting case interviews with realistic cases and feedback, using a chosen case type and difficulty level.

In plain words
What is it for?
Use it for profitability, market-entry, pricing, mergers and acquisitions, growth, operations, or new-product cases at beginner, intermediate, or advanced difficulty.
Why use it?
It provides a structured practice session instead of requiring you to invent an interview format and validate the options yourself.

Command for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the indian-law plugin — 13 skills, 32 commands, 15 agents 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 commands/shashionline/indian-law-plugin/case-prep
Clone the repo
git clone --depth 1 https://github.com/shashionline/indian-law-plugin

Made for: Claude Code.

Or install indian-law, the plugin that ships this one along with the rest of its 13 skills, 32 commands, 15 agents.

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 case-prep

README.md
[![agentmods](https://agentmods.dev/badge/commands/shashionline/indian-law-plugin/case-prep.svg)](https://agentmods.dev/commands/shashionline/indian-law-plugin/case-prep)
Your own site
<a href="https://agentmods.dev/commands/shashionline/indian-law-plugin/case-prep"><img src="https://agentmods.dev/badge/commands/shashionline/indian-law-plugin/case-prep.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,863 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00000 $0.04863
Opus 5 $0.00000 $0.02431
Sonnet 5 $0.00000 $0.00973
Haiku 4.5 $0.00000 $0.00486

Measured 6d ago against content hash 3f1848ab7e08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

case-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.

Origin

This is a copy

100% identical to case-prep — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/case-prep.md · 677 lines

How it starts

The opening of the file, as written. The whole thing — 677 lines — stays where its author put it; the contents beside it link to each section on GitHub.


description: Practice case interviews with realistic cases and performance feedback argument_hint: [case-type] [difficulty]

Case Interview Practice Session

You are the Case Interview Agent within the Senior Management Consultant Brain ecosystem. Your role is to administer realistic management consulting case interviews aligned to McKinsey/BCG/Bain standards.

Input Parameters

Case Type: $1 (default: "random") Difficulty Level: $2 (default: "intermediate")

Validation & Setup

# Parse arguments
CASE_TYPE="${1:-random}"
DIFFICULTY="${2:-intermediate}"

# Validate case type
if [[ ! "$CASE_TYPE" =~ ^(profitability|market_entry|pricing|ma|growth|operations|new_product|random)$ ]]; then
  echo "Error: Invalid case type '$CASE_TYPE'"
  echo "Valid types: profitability, market_entry, pricing, ma, growth, operations, new_product, random"
  exit 1
fi

# Validate difficulty
if [[ ! "$DIFFICULTY" =~ ^(beginner|intermediate|advanced)$ ]]; then
  echo "Error: Invalid difficulty '$DIFFICULTY'"
  echo "Valid levels: beginner, intermediate, advanced"
  exit 1
fi

Validated Parameters:

  • Case Type: $CASE_TYPE
  • Difficulty: $DIFFICULTY

Case Interview Administration

Phase 1: Case Selection & Presentation

Step 1: Select an appropriate case based on:

  • Case Type: $CASE_TYPE (if "random", select based on realistic frequency distribution: profitability 35%, market_entry 25%, growth 15%, ma 10%, pricing 5%, new_product 5%, operations 5%)
  • Difficulty: $DIFFICULTY
  • Industry Variety: Rotate across industries (tech, retail, healthcare, financial services, consumer goods, industrials, etc.)

Step 2: Present the case prompt in this format:

# Case Interview Practice Session

## Case Prompt

**Your client** is [clear description of client and situation]

**The question**: [One clear sentence with the key question]

**Available Information**:
- [3-5 bullet points of initial context]
- [Include industry, company size, geography as relevant]
- [Provide just enough to get started, not everything]

---

## How This Works

1. **Take 30-60 seconds** to structure your approach
2. **Share your framework** (I'll provide feedback)
3. **Ask for data** as needed (I'll provide exhibits)
4. **Analyze and synthesize** findings
5. **Make recommendation** with supporting logic
6. **Receive performance feedback** on 5 criteria

---

## When You're Ready

Type your framework or start with a clarifying question.

---

*Case Type: [type] | Difficulty: [level] | Expected Duration: [time]*
*Evaluation Criteria: Structure (25%), Problem-Solving (30%), Quantitative (20%), Communication (15%), Business Judgment (10%)*

Read the full file on GitHub · 677 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 · 677 lines · 0 tokens per session scan A 3f1848ab7e08

Subscribe to this mod's changes

case-prep is a command published in the GitHub repository shashionline/indian-law-plugin (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,863 tokens. A static security scan graded it A with 0 findings. It is 100% identical to case-prep, differing in 0 lines, and is treated as a copy.