Content
85%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable and workflow-solid: executable code for every operation, a mandatory recalculation step, and an explicit fix-and-recalculate feedback loop with a verification checklist. Its weaknesses are token redundancy (error codes explained three times) and monolithic structure — financial-modeling conventions are inlined and the referenced recalc.py script is absent from the bundle.
Suggestions
Ship scripts/recalc.py (or correct the 'the provided recalc.py script' claims) — the body mandates the script in workflow step 5, but the file does not exist in the bundle.
Move the financial-model color coding and number formatting standards (~60 lines) to references/formatting.md and link to them, keeping SKILL.md as a lean overview.
Deduplicate the Excel error documentation: '#REF!: Invalid cell references' etc. appear under 'Zero Formula Errors', 'Common Pitfalls', and workflow step 6; state them once and reference that list.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Quotes: 'A user may ask you to create, edit, or analyze the contents of an .xlsx file. You have different tools and workflows available for different tasks.' is filler, and Excel error codes are listed redundantly in three places ('#REF!: Invalid cell references' appears in both 'Zero Formula Errors', 'Common Pitfalls', and workflow step 6). Efficient overall with prescriptive, non-obvious guidance (financial color conventions, number formats). Not 3: there is no concept-explaining padding about Excel or how libraries work. Not 5: the Overview paragraph and the triplicated error lists could be trimmed. | 4 / 5 |
Actionability | Fully executable throughout: 'import pandas as pd; df = pd.read_excel('file.xlsx')', openpyxl create/edit snippets with exact imports and method calls ('sheet.insert_rows(2)'), exact command syntax 'python recalc.py <excel_file> [timeout_seconds]' with example 'python recalc.py output.xlsx 30', and a concrete JSON output shape with annotated fields. Copy-paste ready and covers the common cases (create, edit, analyze, recalculate). Not 4: no gaps — even edge guidance like 'load_workbook('file.xlsx', data_only=True)' with its destructive-save warning is concrete. | 5 / 5 |
Workflow Clarity | 'Common Workflow' is a numbered 1–6 sequence with 'Recalculate formulas (MANDATORY IF USING FORMULAS)' and step 6 forming an explicit feedback loop: 'If `status` is `errors_found`, check `error_summary` ... Fix the identified errors and recalculate again', plus a 'Formula Verification Checklist' for error recovery. This matches the anchor with explicit validation steps, feedback loops, and a checklist. Not 4: validation checkpoints are explicit and the fix-and-retry loop is spelled out, including for batch file operations. | 5 / 5 |
Progressive Disclosure | The skill is a single ~280-line monolith: no references/, scripts/, or assets/ directories exist in the bundle, yet the body says 'Use the provided `recalc.py` script' and 'the `recalc.py` script' — a dangling reference to a file that is not shipped. Content that clearly belongs in separate files is inlined, e.g. ~60 lines of financial-model standards ('Blue text (RGB: 0,0,255): Hardcoded inputs', 'Currency: Use $#,##0 format', 'Zeros: ... "$#,##0;($#,##0);-"'). Not 4: well-headed sections do not compensate for the inlined domain reference material and the missing referenced script. Not 2: navigation is possible via clear headers and there is no multi-level reference nesting. | 3 / 5 |
Total | 17 / 20 Passed |