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 skills add product-on-purpose/thinking-framework-skills --skill think-assumption-reversalgit clone --depth 1 https://github.com/product-on-purpose/thinking-framework-skillsWrote 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/product-on-purpose/thinking-framework-skills/think-assumption-reversal)<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-assumption-reversal"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-assumption-reversal/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.
<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-assumption-reversal"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-assumption-reversal.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00074 | $0.00758 |
| Opus 5 | $0.00037 | $0.00379 |
| Sonnet 5 | $0.00015 | $0.00152 |
| Haiku 4.5 | $0.00007 | $0.00076 |
Grade A, and why
think-assumption-reversal 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assumption Reversal
Solutions stay trapped inside the assumptions a problem is stated with. Assumption reversal makes those premises explicit, negates or reverses each, and generates ideas from the reversed world. It is not generic inversion ("how would we cause failure?"); it targets the foundational premises the option space rests on and uses their reversal as an idea generator. The output is an assumptions-and-reversals sheet ending in a shortlist. Reversed assumptions are candidates to explore, not recommendations.
When to Use
- An option space feels stuck inside default constraints.
- The obvious solutions all seem to share a hidden premise.
- Early divergent exploration, when breadth matters more than convergence.
When NOT to Use
- When the binding constraints are genuinely fixed (regulatory, physical) and cannot be reversed in reality.
- When you need to converge and choose (use a decision skill).
- As a source of recommendations (it produces candidates, not decisions).
- If it would only reverse trivial, cosmetic assumptions.
Instructions
When asked to run assumption reversal, follow these steps:
- State the problem or solution in one line.
- Surface the foundational assumptions. List the load-bearing premises it rests on (business model, user, channel, sequence, who pays, what is required). Push for the ones so basic they are usually unspoken.
- Reverse each. Negate or invert the assumption ("what if the opposite were true?").
- Generate from the reversal. For each reversed assumption, write the ideas it provokes. Keep the ideas genuinely tied to the reversal.
- Shortlist. Pick the most promising non-obvious ideas to carry forward, and note what would have to be true for each to be viable.
- Emit the sheet per
references/TEMPLATE.md.
Output Format
Use the template in references/TEMPLATE.md. The deliverable is the assumptions, reversals, ideas, and shortlist, not prose.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 62 lines · 74 tokens per session scan A 754e32a38d52
think-assumption-reversal is a skill published in the GitHub repository product-on-purpose/thinking-framework-skills (15 stars, last pushed today), licensed Apache-2.0. It adds 74 tokens to every session and 758 once invoked, about $0.0004 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 2026-08-30.
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