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document-gen-resilient-workflow

Multi-engine document generation with cascading PDF fallbacks and robust Unicode handling

56

Quality

63%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Medium

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Fix and improve this skill with Tessl

tessl review fix ./benchmarks/gdpval/skills/document-gen-fallback-enhanced-enhanced-2794b4/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 strong, well-sequenced fallback workflows and explicit verification, but it is verbose due to repeated content and monolithic rather than progressively disclosed. Splitting reference material into separate files and de-duplicating would raise both conciseness and progressive disclosure.

Suggestions

Move the full Unicode replacement table and the sanitization script into a separate reference file (e.g. references/unicode-sanitization.md) and link to it from the body, keeping only a short inline summary.

De-duplicate the conversion commands: the Complete Example and Quick Reference Card repeat Steps 3-5; collapse them into a single canonical walkthrough plus a compact card.

Extract the Error Diagnosis Guide into its own reference file, leaving a brief inline pointer, to reduce the monolithic wall of text.

DimensionReasoningScore

Conciseness

Tone is efficient (no explaining of basic concepts), but the ~500-line body is padded by repetition: the Unicode replacement table appears both inline and as a full table, and the Complete Example plus Quick Reference Card re-walk the entire workflow and conversion commands already shown.

2 / 3

Actionability

Concrete executable guidance throughout: specific pandoc commands with explicit `2>&1` stderr capture, ordered engine fallbacks, and copy-paste-ready Python fpdf2/python-docx fallback snippets.

3 / 3

Workflow Clarity

Clear sequenced process with validation checkpoints: a 7-step Core Technique, a Pre-Flight Checklist, Steps 1-5 with an explicit verification step, and an Error Diagnosis Guide with ordered feedback loops (xelatex -> wkhtmltopdf -> install -> Python).

3 / 3

Progressive Disclosure

Well-organized sections, but the skill is a monolithic ~500-line single file with no bundle/reference files; the full Unicode table, sanitization script, error guide, and worked example are all inline when they could be split into one-level-deep references.

2 / 3

Total

10

/

12

Passed

Description

50%

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 conveys the skill's purpose and key features but lacks an explicit 'when to use' trigger clause and natural trigger terms like PDF or DOCX. It is competent but generic, with mild buzzword padding ('Robust').

Suggestions

Add an explicit 'Use when...' clause naming concrete triggers, e.g. 'Use when PDF/DOCX generation fails with LaTeX or unknown-error failures, or when pandoc engines are missing.'

Include natural user-facing terms (PDF, DOCX, HTML, convert, pandoc, LaTeX) rather than abstract phrases like 'engine fallback chain' or 'Python alternatives'.

Drop the vague qualifier 'Robust' and replace it with a concrete action verb phrase.

DimensionReasoningScore

Specificity

Names the domain ('document generation') plus several feature descriptors ('engine fallback chain', 'error diagnostics', 'Python alternatives'), but these are abstract capabilities rather than crisp concrete actions, and 'Robust' is buzzword fluff.

2 / 3

Completeness

It states what the skill does but has no 'Use when...' clause or equivalent explicit trigger guidance, which per the rubric caps completeness at 2.

2 / 3

Trigger Term Quality

'document generation' is a natural user term, but the description omits common variations users would actually say (PDF, DOCX, convert, LaTeX), so coverage is partial.

2 / 3

Distinctiveness Conflict Risk

'document generation' could overlap with general document skills; the resilient/fallback angle is somewhat distinctive but weak triggers keep it from a clear niche.

2 / 3

Total

8

/

12

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

skill_md_line_count

SKILL.md is long (503 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository
HKUDS/OpenSpace
Reviewed

Table of Contents

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