data-inspect skillA
data-inspect is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Show the active dataset's schema — tables, columns, row counts, and relationships. Optionally drill into a specific table. Use this skill whenever the user invokes `/data` or `/data {table}`, or asks questions like "what tables do I have?", "show me the schema", "what's in this dataset?", "what columns are in the users table?", "show me table structure", "list tables", "describe the data", "what's in my database?", or any request to inspect, browse, or understand the structure of the active data.
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: Data Inspect
## Purpose
Show the active dataset's schema — tables, columns, row counts, and relationships. Optionally drill into a specific table.
## When to Use
Invoke as `/data` to see the full schema summary, or `/data {table}` to see column details for a specific table.
## Instructions
### Start here
**Before doing ANYTHING else:**
1. Read `.knowledge/active.yaml` to determine the active dataset name
2. If no active dataset exists, jump to Mode 3 (No Active Dataset)
3. Otherwise, read `.knowledge/datasets/{active}/schema.md` for schema information
**Why this matters:** Users often have multiple datasets connected. You MUST use the active one from the config file, never guess or use a different dataset.
---
### Mode 1: `/data` (full schema overview)
**When:** User invokes `/data` or asks "what tables do I have?" / "show me the schema"
**Steps:**
1. ✅ Confirm you've already read `.knowledge/active.yaml` and `schema.md` (see above)
2. Extract from schema.md:
- Dataset display name
- Connection type and location
- Table list with: name, row count, column count, primary key
3. Display in this condensed format:
```
Active Dataset: {display_name}
…Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/data-inspect@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/data-inspect@sha256:633c675a0470f952Pin 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_gzwc7ogoiolqal4o)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 6,685 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 6,756 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 (6685 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_gzwc7ogoiolqal4o GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/data-inspect GET https://markdownregistry.com/api/v1/blob/633c675a0470f9527ae397e87d2464d1617a3b64290155ef0ccf136efb7bfeff
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