qual-configure-analysis SKILL.md skillA

qual-configure-analysis from linxule/interpretive-orchestration is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add linxule/interpretive-orchestration/qual-configure-analysis@git:20261106.fabdbaf

Pins git:20261106.fabdbaf in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
linxule/interpretive-orchestration
Path
plugin/skills/qual-configure-analysis/SKILL.md
Versions recorded
2
Latest version
git:20261106.fabdbaf, committed Nov 6, 2026
First version recorded
Nov 6, 2026
Size
3,134 bytes
Repository stars
21
License
a license file GitHub does not identify

Configure AI model selection, batch processing, and analysis parameters for Stage 2.

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

> Script paths: `${CLAUDE_PLUGIN_ROOT}` below is this plugin's root folder, two levels above this skill's own folder. Claude Code fills it in. If you see it unfilled, still starting with a dollar sign (as in Codex, Copilot CLI or Kimi Code), put that folder's absolute path in its place before you run a command.

# /qual-configure-analysis - Technical Decision Support

Get help choosing AI models, thinking budgets, and processing strategies for YOUR research - without needing programming knowledge.

---

## When to Use This

- **Before Stage 2 begins** - planning your analysis approach
- **When choosing models** - Opus vs Sonnet vs Gemini?
- **Setting up batch processing** - how to handle large datasets efficiently
- **Understanding costs** - budget planning and optimization
- **If you don't code** - need technical setup help

---

## What Happens

**Invokes:** `@research-configurator` agent - your technical advisor

The agent will:
1. Ask about YOUR research (data volume, complexity, goals, budget)
2. Recommend appropriate model configurations
3. Explain trade-offs in research terms (not tech jargon)
4. Estimate costs transparently
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add linxule/interpretive-orchestration/qual-configure-analysis@sha256:dff58b12f217287f

The line at the top of this page pins the label git:20261106.fabdbaf, 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_omy2r4mnxalmruvl.svg)](https://markdownregistry.com/a/art_omy2r4mnxalmruvl)

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

Versions

The registry has recorded 2 versions of this file, all committed on Nov 6, 2026.

versioncommittedcommitsizeaudit
git:20261106.fabdbaf latest2026-11-06 fabdbaf 3,134 BA view · diff
git:20261106.bb3d1392026-11-06 bb3d139 2,820 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 (3134 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

linxule/interpretive-orchestration · 21 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_omy2r4mnxalmruvl
GET https://markdownregistry.com/api/v1/resolve?ref=linxule/interpretive-orchestration/qual-configure-analysis
GET https://markdownregistry.com/api/v1/blob/dff58b12f217287f3c164e4ef489a46201e93bc1b02bae9d59eded2f6972cbdf

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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