Content
81%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.
A strong, highly actionable body: executable code, a real validate-fix-retry loop via recalc.py, and valuable Excel-domain standards Claude would not infer on its own. The main cost is token weight from tutorial-level library examples and repetitive illustrations, plus financial-model detail that could be split into a reference file.
Suggestions
Drop the tutorial-level examples (pandas df.head/df.info/df.describe demo, openpyxl hello-world with 'Hello'/'World' and column-width lines) — Claude already knows these APIs; keep only non-obvious usage like read_only/write_only and the data_only loss warning.
Collapse the three wrong/right example pairs for 'use formulas, not hardcoded values' into a single pair; one instance fully conveys the principle.
Move the financial-model standards section (color coding RGB values, number format rules, hard-coded-value source documentation) into a references/ file (e.g. FORMATTING.md) and link to it from SKILL.md, keeping the main file as an overview plus core workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The domain-specific standards (color codes, number formats, recalc workflow, error-output JSON, pitfalls checklist) are high-value, but the body also includes tutorial-style content Claude already knows — a basic pandas demo (df.head/df.info/df.describe), an openpyxl hello-world (sheet['A1'] = 'Hello', column width), and three repetitive wrong/right example pairs illustrating the single 'use formulas, not hardcoded values' principle. This lands on 'mostly efficient but includes some unnecessary explanation that could be tightened' rather than the level-4 'minor instances'. | 3 / 5 |
Actionability | Guidance is fully executable throughout: complete openpyxl snippets for creating and editing files, the exact recalc command `python scripts/recalc.py <excel_file> [timeout_seconds]`, a documented JSON output contract with field-level explanation (status/error_summary/locations), and concrete formatting strings like "$#,##0;($#,##0);-". Code is copy-paste ready and covers the common create/edit/recalc/verify cases. | 5 / 5 |
Workflow Clarity | The 通用工作流 gives a clear numbered sequence (select tool → create/load → modify → save → recalc → verify) with an explicit feedback loop: recalc returns JSON, "如果 status 为 errors_found，检查 error_summary", fix the identified errors, and recalculate again. A dedicated 公式验证清单 adds pre-flight checkpoints for this batch/error-prone operation, matching the top anchor including error-recovery loops. | 5 / 5 |
Progressive Disclosure | Structure is good and bundle references check out — `scripts/recalc.py` and `scripts/office/soffice.py` both exist in the bundle and are clearly signaled with usage commands, and the opening note explains how to resolve relative paths. However, the ~300-line body inlines the financial-model standards (color coding, number formats, source documentation) that would fit a separate reference file, keeping it short of the level-5 'appropriately split' anchor. | 4 / 5 |
Total | 17 / 20 Passed |