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grouped-statistics

对多 Sheet 的 Excel 文件进行行数统计、数据合并与前向填充。

56

Quality

62%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/sn-da-excel-workflow/capability/excel-data-statistics/grouped-statistics/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill delivers concise, mostly-copy-paste Python for multi-sheet Excel processing, but relies on file-specific magic numbers and lacks validation checkpoints beyond a basic existence check. Parameterizing the extraction logic and adding verify/fix feedback would meaningfully strengthen it.

Suggestions

Replace hardcoded iloc row ranges with parameterized/header-detection logic (e.g. locate the header row dynamically) so the code generalizes across input files.

Add a validation checkpoint after the merge/write step (e.g. assert expected columns exist, verify the saved workbook opens) with a fix-and-retry feedback loop.

Define or pass in file_path and sheet_names explicitly, or document their expected source, since they are referenced but never initialized in the steps.

DimensionReasoningScore

Conciseness

The body is lean, executable pandas/openpyxl code with brief purposeful inline comments and no padding with concepts Claude already knows, matching the 'lean and efficient; every token earns its place' anchor.

3 / 3

Actionability

Concrete runnable code is provided, but hardcoded magic row ranges (iloc[21:63], iloc[5:47]) and undefined inputs (file_path, sheet_names) are tied to one specific file and won't generalize, matching the 'some concrete guidance but incomplete; missing key details' anchor.

2 / 3

Workflow Clarity

Step1/Step2/Step3 give a clear sequence, but validation is limited to a single os.path.exists check in Step3 with no feedback loop for the Excel write or merge, matching the 'steps listed but validation gaps' anchor.

2 / 3

Progressive Disclosure

Content is organized into clear numbered steps in a single inline file with no bundle files present, but all material (including the lengthy styling code) lives inline with no signaled reference structure, matching the 'some structure but content that should be separate is inline' anchor.

2 / 3

Total

9

/

12

Passed

Description

60%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concise and names specific capabilities, but it omits any 'when to use' trigger guidance and has limited keyword coverage. Adding a 'Use when...' clause with natural trigger terms would lift completeness and trigger-term quality.

Suggestions

Add a 'Use when...' clause naming natural triggers, e.g. 'Use when working with multi-sheet .xlsx files, merging sheets, or filling merged-cell gaps.'

Include common keyword variations such as .xlsx, spreadsheets, 工作表, and pivot/merge so users naturally phrase matching requests.

Clarify the distinctive niche (multi-sheet aggregation + forward-fill of merged cells) to reduce overlap with generic Excel skills.

DimensionReasoningScore

Specificity

The description lists three concrete actions — '行数统计' (row counting), '数据合并' (data merging), and '前向填充' (forward-fill) — matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

It states what the skill does but provides no 'Use when...' trigger or equivalent 'when' guidance, which per the judging guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

'多 Sheet 的 Excel 文件' is a relevant natural term, but coverage is thin with no common variations such as .xlsx, spreadsheets, or 工作表, matching the 'some relevant keywords but missing common variations' anchor.

2 / 3

Distinctiveness Conflict Risk

The multi-sheet row-counting/merge/fill niche is somewhat specific but could still overlap with general Excel-analysis skills, matching the 'somewhat specific but could overlap' anchor.

2 / 3

Total

9

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
OpenSenseNova/SenseNova-Skills
Reviewed

Table of Contents

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