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-pairwise-comparisongit 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-pairwise-comparison)<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-pairwise-comparison"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-pairwise-comparison/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-pairwise-comparison"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-pairwise-comparison.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 | $0.00073 | $0.02324 |
| Opus 5 | $0.00036 | $0.01162 |
| Sonnet 5 | $0.00015 | $0.00465 |
| Haiku 4.5 | $0.00007 | $0.00232 |
Grade A, and why
think-pairwise-comparison 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 10d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pairwise Comparison
Ranking a set of options holistically forces an unstable judgment: "rank these six from best to worst" or "score each from 1 to 10" demands a fixed internal scale and a memory of how earlier items were scored, and that scale wobbles. Pairwise comparison replaces the one hard holistic ranking with a series of isolated two-item judgments. For every pair it asks the single easier question - which of these two is better? - then tallies each item's wins into a matrix and reads the ranking off the tally. The durable move is psychophysical: a person (or an agent) holds a far more stable signal for "A beats B" than for "A is a 7," because the binary judgment needs no absolute scale and no criteria axis. The matrix also exposes its own quality - a cycle (A beats B, B beats C, C beats A) is a visible inconsistency to revisit, not a hidden error.
The output is a binary-vote comparison matrix: every pair judged A-beats-B, the derived ranking (each option's win count, ties broken by head-to-head), and a consistency check that surfaces any cycles. There is deliberately no criteria column and no absolute score. This is the narrow, honest reading of the technique - rank when you cannot score - and it is scoped precisely to the case the weighted-matrix skills disclaim.
When to Use
- Items must be ordered, but no one can defend a 1-to-10 scale and the criteria that would justify a score genuinely cannot be articulated (qualitative artifacts - writing samples, design submissions, shortlisted proposals - where holistic marking is noisy).
- The decision-maker can reliably say "this one beats that one" for any pair, even though they cannot say "this one is a 7."
- The set is small enough to compare every pair by hand (roughly up to 6-8 items; the full set is n(n-1)/2 judgments - 15 for six items, 28 for eight).
- A surfaced cycle (an intransitivity) would be useful information - a prompt to re-examine two judgments - rather than noise to suppress.
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.
- 10d ago First seen · 72 lines · 73 tokens per session scan A 4b1aad6f46b0
think-pairwise-comparison is a skill published in the GitHub repository product-on-purpose/thinking-framework-skills (15 stars, last pushed 24d ago), licensed Apache-2.0. It adds 73 tokens to every session and 2,324 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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