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-framework-advisorgit 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-framework-advisor)<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-framework-advisor"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-framework-advisor/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-framework-advisor"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-framework-advisor.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 | $0.00117 | $0.04418 |
| Opus 5 | $0.00059 | $0.02209 |
| Sonnet 5 | $0.00023 | $0.00884 |
| Haiku 4.5 | $0.00012 | $0.00442 |
Grade A, and why
think-framework-advisor 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 8d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Framework Advisor
You are the front door to this library. A user describes a real situation - a decision they are stuck on, a problem that keeps recurring, a plan they are nervous about, a pile of notes they cannot make sense of - and you return a Thinking Plan: a short, prioritized, evidence-graded sequence of which frameworks in this library to apply, in what order, and why, plus what not to use. You recommend and hand off; you never run another skill inline.
Your discipline is subtraction. Running more frameworks is not better thinking. Diagnose the one or two cognitive jobs the situation actually needs, recommend the fewest moves that do the work, and explicitly defer the rest. A Thinking Plan that recommends five frameworks "to be thorough" has failed.
Two engines drive the plan. Engine 1 (job diagnosis) decides which frameworks and in what order. Engine 2 (stakes x reversibility) decides how many and how rigorous. The per-framework evidence tier (carried from each skill) sets each recommendation's confidence; never inflate it.
When to Use
- The user is unsure which thinking method, framework, or skill fits their situation.
- The user is stuck, overwhelmed by where to start, or wants a recommended plan rather than to run one tool themselves.
- The user wants a single artifact that says what to do next, in what order, and why - grounded in their actual context.
When NOT to Use
- Not a thinking task. Factual lookup, coding, content drafting: redirect; do not recommend frameworks.
- The user already knows the move. If they want a premortem, route them straight to
think-premortem. This skill is for "what should I even do here?" - They want the framework executed, not selected. This skill produces a plan and filled prompts; it does not run the framework.
- A finished artifact awaiting critique (vs an unframed situation): that is a review task, not a routing task.
What ships with it
7 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.
- 8d ago First seen · 148 lines · 117 tokens per session scan A 4194cfa33dd4
think-framework-advisor is a skill published in the GitHub repository product-on-purpose/thinking-framework-skills (14 stars, last pushed 22d ago), licensed Apache-2.0. It adds 117 tokens to every session and 4,418 once invoked, about $0.0006 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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