Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Highly actionable content with a clear, validated workflow and concrete code, but it is monolithic with no progressive disclosure and carries some redundancy across the recalculation sections.
Suggestions
Consolidate the recalc.py explanations into a single section to remove redundancy across Common Workflow, Recalculating formulas, and the Verification Checklist.
Extract the financial-model color-coding and number-formatting standards into a reference file (e.g. financial-modeling.md) and link to it from SKILL.md to improve progressive disclosure.
Tighten the WRONG/CORRECT formula comparison into a more compact do/don't table to reduce token overhead while preserving the lesson.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete code and no explaining of basic concepts, but recalc.py usage is repeated across three sections and the wrong/correct-formula blocks plus inline financial-model color/number standards add padding that could be tightened or split out. | 2 / 3 |
Actionability | Provides fully executable pandas and openpyxl snippets, exact recalc commands, and precise formats (RGB values, '$#,##0', '0.0%') that are copy-paste ready. | 3 / 3 |
Workflow Clarity | The numbered Common Workflow includes an explicit mandatory recalculation step and a validate/fix/re-recalculate feedback loop, reinforced by a Formula Verification Checklist, matching the score-3 anchor. | 3 / 3 |
Progressive Disclosure | The ~280-line body is a single monolithic file with no bundle references, and content that could be separate (financial-modeling standards, recalc details) is inline; organization is clear but the skill exceeds the simple-skill exemption. | 2 / 3 |
Total | 10 / 12 Passed |