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.
npx agentmods add skills/rudycity/superagent/inversion-exercisenpx skills add RudyCity/superagent --skill inversion-exercisegit clone --depth 1 https://github.com/RudyCity/superagentWrote 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.
[](https://agentmods.dev/skills/rudycity/superagent/inversion-exercise)<a href="https://agentmods.dev/skills/rudycity/superagent/inversion-exercise"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/inversion-exercise.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.00430 |
| Opus 5 | $0.00012 | $0.00215 |
| Sonnet 5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
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 yesterday.
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.
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.
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
- List core assumptions - What "must" be true?
- Invert each systematically - "What if opposite were true?"
- Explore implications - What would we do differently?
- 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
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.
- yesterday First seen · 59 lines · 23 tokens per session scan A 01786f5fd93a
Inversion Exercise is a skill published in the GitHub repository RudyCity/superagent (20 stars, last pushed today), licensed MIT. 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.
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