Inversion Exercise

Inversion Exercise is a skill for Claude Code from VoDaiLocz/kilo-kit-mcp. It costs 23 tokens per session (430 once invoked), scanned A, a copy of Inversion Exercise, Apache-2.0.

A structured thinking exercise that reverses normal assumptions to reveal hidden constraints and alternative solutions.

In plain words
What is it for?
Use it to examine design decisions such as caching, data loading, error handling, feature scope, and resilience.
Why use it?
It helps when a familiar approach is stuck or may be hiding important trade-offs.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Good fit Use it to examine design decisions such as caching, data loading, error…

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Install with agentmods
npx agentmods add skills/vodailocz/kilo-kit-mcp/inversion-exercise
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 VoDaiLocz/kilo-kit-mcp --skill inversion-exercise
Clone the repo
git clone --depth 1 https://github.com/VoDaiLocz/kilo-kit-mcp

Made for: Claude Code.

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 Inversion Exercise

README.md
[![agentmods](https://agentmods.dev/badge/skills/vodailocz/kilo-kit-mcp/inversion-exercise.svg)](https://agentmods.dev/skills/vodailocz/kilo-kit-mcp/inversion-exercise)
Your own site
<a href="https://agentmods.dev/skills/vodailocz/kilo-kit-mcp/inversion-exercise"><img src="https://agentmods.dev/badge/skills/vodailocz/kilo-kit-mcp/inversion-exercise.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 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 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 $0.00023 $0.00430
Opus 5 $0.00012 $0.00215
Sonnet 5 $0.00005 $0.00086
Haiku 4.5 $0.00002 $0.00043

Measured 3d ago against content hash 01786f5fd93a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

Inversion Exercise 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 3d 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 Inversion Exercise — 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.

skills/problem-solving/inversion-exercise/SKILL.md · 59 lines

What it actually says

Inversion Exercise

Overview

Flip every assumption and see what still works. Sometimes the opposite reveals the truth.

Core principle: Inversion exposes hidden assumptions and alternative approaches.

Quick Reference

Normal Assumption Inverted What It Reveals
Cache to reduce latency Add latency to enable caching Debouncing patterns
Pull data when needed Push data before needed Prefetching, eager loading
Handle errors when occur Make errors impossible Type systems, contracts
Build features users want Remove features users don't need Simplicity >> addition
Optimize for common case Optimize for worst case Resilience patterns

Process

  1. List core assumptions - What "must" be true?
  2. Invert each systematically - "What if opposite were true?"
  3. Explore implications - What would we do differently?
  4. Find valid inversions - Which actually work somewhere?

Example

Problem: Users complain app is slow

Normal approach: Make everything faster (caching, optimization, CDN)

Inverted: Make things intentionally slower in some places

  • Debounce search (add latency → enable better results)
  • Rate limit requests (add friction → prevent abuse)
  • Lazy load content (delay → reduce initial load)

Insight: Strategic slowness can improve UX

Red Flags You Need This

  • "There's only one way to do this"
  • Forcing solution that feels wrong
  • Can't articulate why approach is necessary
  • "This is just how it's done"

Remember

  • Not all inversions work (test boundaries)
  • Valid inversions reveal context-dependence
  • Sometimes opposite is the answer
  • Question "must be" statements
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. 3d ago First seen · 59 lines · 23 tokens per session scan A 01786f5fd93a

Subscribe to this mod's changes

Inversion Exercise is a skill published in the GitHub repository VoDaiLocz/kilo-kit-mcp (26 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 430 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Inversion Exercise, differing in 0 lines, and is treated as a copy.