dr-anomalies-report
Detect data anomalies and generate a comprehensive data-quality Excel WORKBOOK from Finance OS tables, computed over the table's ALL-TIME history (use the anomalies skill for a chat-only answer scoped to the latest fiscal year — the two baselines differ by design, so counts won't match). The MCP tools return baseline aggregates only; this skill derives findings, severity buckets, and the Data Quality Score client-side, then writes a multi-sheet workbook. Self-contained — pass --table-id to target a table directly, or it discovers the financials table on its own; no profile or setup step required.
Quality
Validation
87%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 14 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' must be a string, got object | Fail |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 14 / 16 Failed | |
- Repository
- Datarails/dr-claude-code-plugins-re
- Commit
0a038a3
- Reviewed
Table of Contents
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