dr-anomalies
Detect data anomalies in one Datarails Finance OS table and answer IN CHAT — severity-ranked outliers, duplicates, missing/null rates, rare values — scoped to the latest complete fiscal year. Writes no file (use the anomalies-report skill for an Excel workbook; use the profile skill for unscoped whole-history statistics). The MCP profiling and aggregation tools return baseline aggregates only (raw rows come from the separate get_data_by_* calls); this skill computes the findings client-side.
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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