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excel-heredoc-fallback

Create Excel files with openpyxl by falling back to shell-based Python heredoc when sandbox execution fails

60

Quality

75%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./benchmarks/gdpval/skills/excel-heredoc-fallback/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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 highly actionable with executable code and a clear five-step workflow including verification. Its main weaknesses are redundant repeated code examples and a missing error-recovery loop in the main flow.

Suggestions

De-duplicate the repeated Workbook-creation code by showing the full heredoc once and referencing it, to reduce token cost.

Add an explicit feedback loop in the workflow for when the heredoc itself fails (e.g. pip install openpyxl, then retry).

Move the Advanced Formatting Examples into a separate reference file and link to it from SKILL.md to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The body is mostly code-forward and efficient, but repeats the same basic openpyxl Workbook-creation pattern across Step 1, Step 3, Advanced Formatting, and the Example Complete Workflow, which could be tightened.

3 / 5

Actionability

Provides fully executable, copy-paste-ready heredoc code covering common cases (styling, formulas, merged cells, multiple sheets) plus a concrete troubleshooting table mapping issues to fixes.

5 / 5

Workflow Clarity

The five steps are clearly sequenced (try sandbox, detect failure, fall back, run shell, verify) with an explicit verification checkpoint in Step 5, but the main flow lacks an explicit error-recovery feedback loop if the heredoc itself fails.

4 / 5

Progressive Disclosure

No bundle files exist, so all content lives inline in SKILL.md, but it is well-organized with clear section headers; the Advanced Formatting reference material could arguably be split out, hence not a 5.

4 / 5

Total

16

/

20

Passed

Description

62%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 clearly states what the skill does and gives an explicit trigger condition, with a distinct fallback niche. It is held back by limited keyword coverage and a single-action scope that omits natural synonyms like 'spreadsheets' or '.xlsx'.

Suggestions

Add natural trigger terms users would actually say, e.g. 'Excel files, spreadsheets, .xlsx files' to improve keyword coverage.

Broaden the capability list beyond the single fallback action, e.g. 'create, style, and format Excel files' to raise specificity.

Consider a 'Use when...' clause that enumerates multiple trigger situations (sandbox fails, missing openpyxl, permission errors) rather than one condition.

DimensionReasoningScore

Specificity

Names the domain ('Excel files with openpyxl') and a concrete mechanism ('falling back to shell-based Python heredoc'), but only describes a single fallback action path rather than a comprehensive set of capabilities.

3 / 5

Completeness

Provides a clear 'what' (create Excel files via shell heredoc fallback) and an explicit 'when' trigger ('when sandbox execution fails'), though the trigger is narrow and could enumerate more situations.

4 / 5

Trigger Term Quality

Includes relevant keywords like 'Excel files' and 'openpyxl', but misses common natural synonyms users would say (e.g. 'spreadsheets', '.xlsx') and leans on technical terms ('sandbox execution', 'Python heredoc') that users rarely voice.

3 / 5

Distinctiveness Conflict Risk

The sandbox-fallback niche is fairly distinct from a generic Excel skill, with only minor overlap risk against broader openpyxl/Excel creation skills.

4 / 5

Total

14

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
HKUDS/OpenSpace
Reviewed

Table of Contents

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