think-research-framework SKILL.md skillA

think-research-framework from product-on-purpose/thinking-framework-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add product-on-purpose/thinking-framework-skills/think-research-framework@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
product-on-purpose/thinking-framework-skills
Path
skills/think-research-framework/SKILL.md
Versions recorded
2
Latest version
v0.1.0, committed Oct 16, 2026
First version recorded
Jun 6, 2026
Size
3,298 bytes
Repository stars
25
License
Apache-2.0

Researches a thinking framework end to end and produces a schema-valid proposed registry entry plus a learning dossier, grading the evidence on the seven-tier model and assessing overlap against the shipped catalog. Use when you need an honest evidence grade and a build-or-fold verdict for a candidate method before turning it into a skill, when reproducing the evidence-and-overlap vetting on a method the catalog already judged, or when you need a ranked shortlist of new candidate methods in a…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 -->
# Research Framework

This meta-skill is the entry point to the framework-research engine. It is not a thinking method and ships no registry entry of its own; it delegates the bounded research role to the `think-research-framework` subagent so the work runs in its own context with web search.

## When to use

- You have a candidate thinking method and need an honest evidence grade, an overlap call against the shipped catalog, a learning dossier, and a proposed registry entry before deciding whether to build it.
- You want to reproduce the evidence-and-overlap vetting on a method the catalog already judged.
- You want a ranked shortlist of new candidate methods in a given family.

## When NOT to use

- You already know the verdict and just want to author the skill. Go straight to the skill-authoring flow.
- The request is a product or domain question rather than a thinking-method evaluation. That belongs in the sibling pm-skills library.
- You want a framework executed on your own problem. That is what the individual `think-` skills (and the advisor's plan) are for.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/thinking-framework-skills/think-research-framework@sha256:da7f8b01a1501510

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gampo4e3t5jos2au.svg)](https://markdownregistry.com/a/art_gampo4e3t5jos2au)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 6, 2026 and Oct 16, 2026, about one every 131 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-16 ef8890e 3,298 BA view · diff
v0.1.02026-06-06 650e430 3,099 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3298 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

product-on-purpose/thinking-framework-skills · 25 stars · license Apache-2.0 · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gampo4e3t5jos2au
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/thinking-framework-skills/think-research-framework
GET https://markdownregistry.com/api/v1/blob/da7f8b01a15015104e4a595602a762ac214f79024abd5afa3895f7c2eb4170bd

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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