tracking-gaps skillA
tracking-gaps is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Assess whether the data needed for an analysis actually exists, identify what's missing, and produce prioritized instrumentation requests for engineering when gaps are found. Use this skill whenever you're about to start an analysis, when a user asks about data availability, when you need to check if certain events or properties are tracked, when the Data Explorer agent finds incomplete data, when you're designing an analysis and need to verify data exists, when initial queries return nulls or m.
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: Tracking Gap Identification ## Purpose Assess whether the data needed for an analysis actually exists, identify what's missing, and produce prioritized instrumentation requests for engineering when gaps are found. ## When to Use Apply this skill after the Data Explorer agent inventories available data, when an analysis requires data that might not exist, or when initial query results suggest incomplete tracking. Run before committing to an analysis approach. ## Instructions ### Gap Detection Process Define requirements (Step 1) before inventorying what exists; starting from "what we have" is how gaps get missed. #### Step 1: Define Data Requirements Before checking what data exists, list every data point the analysis NEEDS. This ensures you don't miss gaps. For each analytical question, create a structured requirements table: ```markdown | Requirement | Needed For | Granularity | Time Range | |-------------|-----------|-------------|------------| | [event/field] | [which analysis step] | [per user/session/event] | [last 30d, 90d, etc.] | ``` #### Step 2: Inventory Available Data Map each requirement to what actually exists: ```markdown …
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How to install
mdr add ai-analyst-lab/ai-analyst/tracking-gaps@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/tracking-gaps@sha256:4d749c8c9c0d07ebPin 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_62quyh3jiqr6bpvh)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 10,782 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 10,756 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 (10782 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_62quyh3jiqr6bpvh GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/tracking-gaps GET https://markdownregistry.com/api/v1/blob/4d749c8c9c0d07ebfe92a9cd5b8943871599d3f1a80306cb96bdc3a40d52ed7c
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