data-map skillA
data-map is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Produce a comprehensive cross-table data health map for the active dataset — the full payoff answer to open-ended "tell me about this data" questions. Run all tables, not just one: table inventory with row counts, PK uniqueness, date range per table, date alignment across tables, column completeness, foreign-key join-rate matrix, relationship diagram, and a thread-to-pull opening hypothesis. Use this skill whenever the user asks a **dataset-wide open question** — "tell me about this data", "tell.
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 Map
## Purpose
Answer the broadest possible question — "tell me about this data" — with the broadest substantive answer: cross-table health, relationships, date alignment, and an opening analytical thread. This is first-contact dataset exploration, not a schema dump and not a steering question.
## When to Fire
**Fires on dataset-wide open questions:**
- "tell me about this data / the data / this dataset / the dataset"
- "what's in here / what's in this data / what's in the data"
- "give me an overview / give me the map / map out the data"
- "what do I have / what do we have here"
- "what does this data look like / show me what we've got"
- Any open question that references the dataset as a whole
**Does NOT fire when:**
- The question names a specific table → use `data-quality-check`
- User invoked `/explore` or is mid-exploration within an already-mapped dataset → use `explore`
- User invoked `/data` or `/data {table}` → use `data-inspect` (schema-only)
- User invoked `/run-pipeline` or a specific analysis → run the pipeline
**Fires regardless of:**
…Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/data-map@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/data-map@sha256:41ada7a05bbf2651Pin 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_qhvoi7jnkrdt5r3s)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 12,970 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 12,951 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 (12970 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_qhvoi7jnkrdt5r3s GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/data-map GET https://markdownregistry.com/api/v1/blob/41ada7a05bbf26517523928116203f25940e9b9ae554a50654d36c3b8ea53f98
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