compare-datasets skillA
compare-datasets is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Compare metrics, findings, and patterns across two or more connected datasets. Helps identify cross-dataset patterns (e.g., "conversion funnel behavior is similar across both product lines") and dataset-specific anomalies. Use this skill whenever the user wants to compare datasets, mentions phrases like "compare datasets", "is this pattern the same across", "how does X differ between datasets", "cross-dataset comparison", "analyze across product lines", "compare metrics between", or asks whether.
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: Compare Datasets
## Purpose
Compare metrics, findings, and patterns across two or more connected datasets.
Helps identify cross-dataset patterns (e.g., "conversion funnel behavior is
similar across both product lines") and dataset-specific anomalies.
## When to Use
- User says `/compare-datasets` or "compare across datasets"
- After analyzing multiple datasets, to find commonalities
- When the user asks "is this pattern unique to this dataset?"
## Invocation
`/compare-datasets` — compare active dataset with all others
`/compare-datasets {id1} {id2}` — compare two specific datasets
`/compare-datasets metric={name}` — compare a specific metric across datasets
## Instructions
### Step 0: Feasibility Check
Before running the full 6-step workflow, verify the comparison is possible:
1. **Check minimum requirements:**
- At least 2 datasets must be connected (check `.knowledge/datasets/`)
- If only 1 dataset: "Only one dataset connected. Use `/connect-data` to add another."
2. **For data-intensive comparisons (e.g., retention, conversion funnels):**
- Verify temporal span: Each dataset needs sufficient history (e.g., 3-6 months for retention)
…Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/compare-datasets@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/compare-datasets@sha256:23c4dcba083480bfPin 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_vq7hnaco3edxw76b)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 11,514 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 12,689 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 (11514 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_vq7hnaco3edxw76b GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/compare-datasets GET https://markdownregistry.com/api/v1/blob/23c4dcba083480bfed7e0d0755e7ec769ae2bf8963e93d0c701f866835b27447
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