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xlsx

Create, edit, analyze, or convert Excel spreadsheets (.xlsx, .xlsm, .xltx) where the workbook file is the primary deliverable. Use for formulas, formatting, financial models, multi-sheet workbooks, and tabular cleanup exported to Excel. Also applies to .csv/.tsv when the user wants spreadsheet output. Do NOT use for Word documents, HTML reports, standalone Python scripts, database pipelines, or Google Sheets API work.

79

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-5

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

The content is a tightly edited operational reference: lean with no padding, highly actionable with concrete commands and code, a clear validated recalc workflow with feedback loops, and appropriate disclosure via real bundled scripts. It avoids the common pitfalls of over-explanation and missing validation.

DimensionReasoningScore

Conciseness

The body contains no concept-explanation padding (no "what is Excel" or "openpyxl is a library" prose) and is dense with operational rules and gotchas; every token earns its place and Claude's competence is assumed, matching the lean anchor-5 example.

5 / 5

Actionability

It provides copy-paste-ready commands (`python scripts/recalc.py output.xlsx [timeout_seconds]`), concrete code (`sheet['B10'] = '=SUM(B2:B9)'`), exact number formats (`$#,##0;($#,##0);-`), colors, and `_xlfn.` prefixes covering the common cases, matching anchor 5.

5 / 5

Workflow Clarity

A checklist ("Requirements for every output"), explicit validation (recalc JSON `status`/`errors_found`), and a feedback loop ("Fix what it names and run it again") with a checkpoint ("Write 2–3 formulas first and check") give a clear validated sequence; the destructive in-place rewrite has validation, so the 3-cap does not apply.

5 / 5

Progressive Disclosure

The SKILL.md is a compact, well-sectioned overview that defers complex executable logic to clearly signaled one-level-deep scripts (scripts/recalc.py, scripts/office/soffice.py — both present in the bundle), with no nested references and easy navigation, matching anchor 5.

5 / 5

Total

20

/

20

Passed

Description

100%Weight 40%Scale 1-5

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 exemplary: it states concrete capabilities, gives explicit trigger guidance with synonyms and file extensions, answers both what and when, and includes explicit out-of-scope boundaries to avoid mis-triggering. No meaningful gaps.

DimensionReasoningScore

Specificity

"Create, edit, analyze, or convert Excel spreadsheets" plus "formulas, formatting, financial models, multi-sheet workbooks, and tabular cleanup" lists multiple concrete actions with comprehensive coverage, matching the anchor-5 example rather than the minor-gaps anchor 4.

5 / 5

Completeness

It explicitly states both what (create/edit/analyze/convert spreadsheets and the listed task types) and when ("Use for…", "Also applies to .csv/.tsv when the user wants spreadsheet output"), with concrete trigger phrases; the explicit "Use for" clause means the missing-trigger cap of 3 does not apply.

5 / 5

Trigger Term Quality

Natural user terms ("Excel spreadsheets", "formulas", "financial models", "tabular cleanup") appear alongside synonyms and a full set of file extensions (.xlsx, .xlsm, .xltx, .csv, .tsv), giving comprehensive coverage as required for a 5.

5 / 5

Distinctiveness Conflict Risk

The niche is clear (workbook file as primary deliverable) and an explicit "Do NOT use for Word documents, HTML reports, standalone Python scripts, database pipelines, or Google Sheets API work" boundary minimizes conflict risk, matching the clear-niche anchor 5.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
K-Dense-AI/claude-scientific-writer
Reviewed

Table of Contents

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