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incremental-excel-build

Build complex Excel files through staged, verifiable steps with intermediate CSV outputs for debugging

60

Quality

68%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./benchmarks/gdpval/skills/incremental-excel-build/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The body is highly actionable with a clearly sequenced, checkpointed multi-stage workflow and executable code, but it is somewhat verbose and keeps all detail inline without splitting reusable material into referenced files.

Suggestions

Move the lengthy openpyxl formatting/styling block into a referenced script or reference file (e.g., scripts/format_excel.py) and point to it, tightening the main body.

Factor the shared per-stage boilerplate (load intermediate CSV, transform, save, print) into a single helper pattern to reduce repetition across stages.

Consider extracting the full code for each stage into bundled scripts referenced from SKILL.md, leaving the body as an overview with stage contracts and verification checkpoints.

DimensionReasoningScore

Conciseness

The four-stage code is mostly efficient and assumes competence, but the near-duplicate stage structure and the lengthy openpyxl formatting block could be tightened, so it is not maximally lean.

2 / 3

Actionability

Each stage ships complete, executable, copy-paste-ready Python with a runner script orchestrating them, matching the fully-executable-guidance anchor.

3 / 3

Workflow Clarity

A clear four-stage sequence has explicit verification checkpoints after every stage and a runner with error feedback (sys.exit on failure), providing the validation loop the rubric rewards.

3 / 3

Progressive Disclosure

No bundle files exist and the content is well-sectioned, but it is a monolithic single-file presentation where reusable detail (e.g., the openpyxl formatting block) is inline rather than split into referenced files.

2 / 3

Total

10

/

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 specific about capabilities and mechanism but lacks an explicit 'Use when...' trigger clause, leaving the invocation condition only implied and capping completeness and distinctiveness.

Suggestions

Add an explicit 'Use when...' clause naming natural triggers (e.g., 'Use when building Excel files with calculations, forecasts, or multi-step transformations that need debugging').

Include common user-facing trigger terms like 'spreadsheets', '.xlsx', 'forecasts', and 'calculations' to improve trigger-term coverage.

Tighten distinctiveness by contrasting with one-off Excel creation (e.g., 'for multi-stage builds rather than simple exports').

DimensionReasoningScore

Specificity

Names the domain ('complex Excel files') and multiple concrete mechanisms ('staged, verifiable steps', 'intermediate CSV outputs for debugging'), matching the multiple-specific-actions anchor.

3 / 3

Completeness

Clearly states what the skill does, but offers no 'Use when...' or equivalent explicit trigger guidance, so the 'when' is only implied; guidelines cap completeness at 2.

2 / 3

Trigger Term Quality

Includes relevant natural terms like 'Excel files' and 'CSV' but misses common variations users say ('spreadsheets', 'xlsx', 'forecasts') and lacks explicit trigger phrasing.

2 / 3

Distinctiveness Conflict Risk

The incremental-build niche is somewhat distinct from generic Excel skills, but without explicit triggers it could still overlap with general spreadsheet/data-generation skills.

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
HKUDS/OpenSpace
Reviewed

Table of Contents

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