question-router skillA
question-router is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Classify every analytical request (anything about data, metrics, trends, segments, funnels, revenue, retention, experiments, or "why did X change") into complexity levels L1-L5 and route it before any analytical workflow starts, including follow-ups mid-analysis and chart requests. Simple lookups get a direct answer; investigations get the depth they need. Run this first even when the question looks simple..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Skill: Question Router ## Purpose Classify incoming user questions into complexity levels (L1-L5) and route them to the appropriate response path. ## When to Use - At the start of every user interaction that looks like an analytical request - Before launching the full 18-step pipeline - When the user asks a follow-up question mid-analysis ## Classification Levels ### L1: Factual Lookup **Pattern:** User wants a specific number or fact from the data. **Examples:** - "How many users signed up in March?" - "What's the average order value?" - "How many products are in the electronics category?" **Response path:** Query the data directly. Return the answer with source citation (table, column, filter). No agents needed. ### L2: Simple Comparison **Pattern:** User wants to compare two things or see a breakdown. **Examples:** - "Compare conversion rates by device" - "Show me revenue by category" - "What's the split of users by acquisition channel?" **Response path:** Query + quick chart. Use `chart_helpers` directly. Apply Visualization Patterns skill. No full pipeline. ### L3: Guided Analysis **Pattern:** User has a specific analytical question requiring multiple steps. …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/question-router@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/question-router@sha256:78e9d6bd6c2dc763Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_yldfuh736rhdwxwm)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 16,640 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 20,855 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16640 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
ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yldfuh736rhdwxwm GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/question-router GET https://markdownregistry.com/api/v1/blob/78e9d6bd6c2dc76325fe7f14f2e27928f9c13f1b1673582b645f182960d552e7
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