think-morphological-analysis

think-morphological-analysis is a skill for Claude Code from product-on-purpose/thinking-framework-skills. It costs 100 tokens per session (2,367 once invoked), scanned A, original, Apache-2.0.

A structured method for exploring solutions by listing several independent choices, their possible values, and the combinations that remain mutually compatible.

In plain words
What is it for?
Use it for configuration decisions such as product architecture, service bundles, or other problems with multiple interacting design choices.
Why use it?
It helps expose less obvious options and remove combinations that cannot work together before choosing a final design.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the thinking-framework-skills plugin — 68 skills, 10 commands, 1 agent shipped together

Good fit Use it for configuration decisions such as product architecture, service bundles, or other problems with multiple interacting design choices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis
Install

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.

Any agent
npx skills add product-on-purpose/thinking-framework-skills --skill think-morphological-analysis
Clone the repo
git clone --depth 1 https://github.com/product-on-purpose/thinking-framework-skills

Made for: Claude Code.

Or install thinking-framework-skills, the plugin that ships this one along with the rest of its 68 skills, 10 commands, 1 agent.

Wrote 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.

agentmods badge for think-morphological-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis/github.svg)](https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis)
Your own site
<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis/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.

agentmods 80×15 button for think-morphological-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis"><img src="https://agentmods.dev/badge/skills/product-on-purpose/thinking-framework-skills/think-morphological-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,367 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.02367
Opus 5 $0.00050 $0.01184
Sonnet 5 $0.00020 $0.00473
Haiku 4.5 $0.00010 $0.00237

Measured 10d ago against content hash 5747860287ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

think-morphological-analysis 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.

skills/think-morphological-analysis/SKILL.md · 72 lines

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.

Morphological Analysis

Most design and option work jumps straight to a few familiar combinations and never sees the rest of the space. Morphological analysis (the "Zwicky box") refuses that shortcut. It treats a solution as a CONFIGURATION - a single value chosen on each of several semi-independent dimensions - and lays the whole space out so the unobvious corners come into view. The durable move has two halves, and the second is what separates it from a plain options list: (1) decompose the problem into a small set of independent PARAMETERS with their discrete VALUES, giving the full combinatorial cross-product; then (2) run a cross-consistency assessment - pair off every value with every other value across parameters, strike the internally incompatible pairs, and keep only the configurations that survive. The output is a morphological field: a parameter-by-value box plus a consistency-pruned set of internally consistent configurations. It is not a tree, not a ranked list, and not the chosen answer - it generates and prunes-for-consistency; a downstream step scores and chooses.

When to Use

  • The solution genuinely is a configuration - a choice on each of several semi-independent dimensions (a product architecture, a service or pricing bundle, a feature set, a policy package, a research design, a go-to-market shape).
  • The real risk is tunnel vision: the team keeps defaulting to one familiar combination and would not otherwise see the rest of the space, including the corners no forward search would visit.
  • The parameters are real and discoverable, and some value pairs are clearly incompatible - so the cross-consistency pass does real pruning rather than rubber-stamping everything.
  • The goal is breadth-with-structure (cover the space, then narrow to the viable region), with scoring and selection handled as a separate downstream step.

When NOT to Use

Read the full file on GitHub · 72 lines

Files

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.

Changes

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.

  1. 10d ago First seen · 72 lines · 100 tokens per session scan A 5747860287ee

Subscribe to this mod's changes

think-morphological-analysis is a skill published in the GitHub repository product-on-purpose/thinking-framework-skills (15 stars, last pushed 23d ago), licensed Apache-2.0. It adds 100 tokens to every session and 2,367 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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