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spreadsheet

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

74

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Medium

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 body is well-structured and actionable with concrete commands, a sequenced workflow including validation, and a clean one-level reference to real example scripts. The only meaningful gap is some redundancy in the dependency-install fallback blocks.

Suggestions

Collapse the repeated 'uv pip install ...' / 'if uv unavailable: python3 -m pip install ...' blocks into a single install snippet with one fallback note to reduce redundancy.

Add an explicit validate→fix→retry loop (e.g., re-render and re-check after edits) to push workflow clarity to the top anchor.

Tighten the Dependencies section by grouping the optional matplotlib and system-tool installs under a single clearly labeled optional block.

DimensionReasoningScore

Conciseness

The body is mostly lean with no padding about what spreadsheets are, but the repeated uv-then-fallback pip install blocks for openpyxl/pandas and matplotlib could be trimmed. Not a clean 5 because of these minor redundant install instructions.

4 / 5

Actionability

Provides executable commands (soffice, pdftoppm, uv pip install), a concrete formula example (`=H6*(1+$B$3)`), and points to four real runnable reference scripts, covering the common cases copy-paste ready.

5 / 5

Workflow Clarity

A clear 5-step numbered workflow includes an explicit validate step and a render-before-modify checkpoint, but lacks the full validate→fix→retry feedback loop of the top anchor. Validation is present so the destructive/batch cap does not apply.

4 / 5

Progressive Disclosure

SKILL.md is an overview that clearly signals a one-level-deep reference (`references/examples/openpyxl/`) containing four real runnable scripts, with bulk detail appropriately split out and easy to navigate.

5 / 5

Total

18

/

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 specific, third-person, and clearly signals both capability and trigger conditions with concrete file extensions and library names. It matches the top anchor on all four dimensions with no over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("creating, editing, analyzing, or formatting") and names the tooling (openpyxl, pandas), matching the comprehensive multi-action anchor.

5 / 5

Completeness

Explicitly answers both what (create/edit/analyze/format spreadsheets via named libraries) and when via a clear "Use when..." clause with concrete triggers.

5 / 5

Trigger Term Quality

Covers natural terms ("spreadsheets", "formulas, references, and formatting") plus file extensions (`.xlsx`, `.csv`, `.tsv`), giving comprehensive synonym and extension coverage.

5 / 5

Distinctiveness Conflict Risk

Clear spreadsheet niche with tool-specific triggers and file extensions, giving minimal overlap risk with other skills.

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

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

Warning

Total

15

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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