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-decision-option-reviewgit 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-decision-option-review)<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-decision-option-review"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-decision-option-review/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-decision-option-review"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-decision-option-review.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 | $0.00069 | $0.00796 |
| Opus 5 | $0.00034 | $0.00398 |
| Sonnet 5 | $0.00014 | $0.00159 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
think-decision-option-review 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Option Review
When several real options compete, intuition compares them on shifting, unstated criteria that nobody can inspect. This skill makes the comparison explicit: list the options, define and weight the criteria that actually matter, score each option, surface the tradeoffs, and recommend. The output is a criteria-weighted option matrix. It is a lightweight multi-criteria review, not academic MCDA, and it deliberately shows the tradeoffs rather than hiding behind a single total: weighted scores can manufacture false precision, so soft scores are flagged and the recommendation states what would flip it.
When to Use
- Choosing among several real, distinct options.
- Objectives conflict and the tradeoffs are currently implicit.
- The decision needs to be explained or defended to others.
When NOT to Use
- Trivial or obvious choices, or one-way doors needing deeper analysis than a matrix.
- To generate options (use an ideation skill); this compares options that already exist.
- When the criteria genuinely cannot be articulated.
- As a way to make a single weighted total settle a close call (false precision).
Instructions
When asked to review options, follow these steps:
- List the options being compared (the real, distinct ones).
- Define the criteria that actually matter for this decision, and weight them (high / medium / low is enough). State why each criterion is in.
- Score each option against each criterion. Use a small scale and say what a high score means. Flag any score you are not confident in.
- Surface the tradeoffs. For each leading option, state plainly what it gives up. Note factors that resist scoring rather than dropping them.
- Recommend one option, with a confidence note and the conditions under which the recommendation would flip.
- Emit the matrix per
references/TEMPLATE.md.
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 · 63 lines · 69 tokens per session scan A f52477985ea5
think-decision-option-review 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 69 tokens to every session and 796 once invoked, about $0.0003 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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