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-pyramid-principlegit 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-pyramid-principle)<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-pyramid-principle"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-pyramid-principle/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-pyramid-principle"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-pyramid-principle.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 | $0.00100 | $0.01450 |
| Opus 5 | $0.00050 | $0.00725 |
| Sonnet 5 | $0.00020 | $0.00290 |
| Haiku 4.5 | $0.00010 | $0.00145 |
Grade A, and why
think-pyramid-principle 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pyramid Principle
Most recommendations are delivered in the order they were discovered - context, then analysis, then, eventually, the point - forcing the reader to hold a pile of facts in mind and guess where they lead. The pyramid principle inverts that: the conclusion (the governing thought, the one thing the reader should do or believe) goes first; beneath it sit a small set of MECE key arguments that together justify it; beneath each sits its supporting evidence. The reader descends only as far as their trust requires and can stop at the top with the recommendation in hand. The output is a structured pyramid (governing thought + ordered key lines + support), not a flowing essay. It composes a clear case; it does not check whether the case is sound.
When to Use
- A conclusion or recommendation already exists and must be communicated to a busy or senior reader who needs the headline first.
- Findings, analysis, or a memo need to be ordered into a tight top-down case instead of a chronological narrative.
- A draft buries its point under context and reasons, and needs restructuring so the answer leads.
- Preparing an executive summary, a decision memo, or the spine of a recommendation deck.
When NOT to Use
- Early exploratory thinking, before a conclusion exists. Answer-first structure forces a premature headline; do the thinking first, then structure the answer.
- To test whether an argument holds. Auditing reasons, co-premises, and objections for soundness is argument analysis (use think-argument-mapping). The pyramid composes a case; it does not check it.
- To decompose a question for analysis. Breaking a problem into MECE sub-questions to investigate is an issue tree (use think-issue-tree), which structures the question for the analyst; the pyramid structures the answer for the reader.
- To make a thin case look authoritative. Confident structure can lend false weight to weak evidence; a tidy pyramid is not a validated argument.
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 · 68 lines · 100 tokens per session scan A c5a70f6b0e22
think-pyramid-principle 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 100 tokens to every session and 1,450 once invoked, about $0.0005 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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