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pdf-verification

Verify PDF page counts and file integrity programmatically using PyPDF2 after generation

60

Quality

68%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./benchmarks/gdpval/skills/pdf-verification/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 clear, validated workflows, but it is token-inefficient due to repeated code and misses an opportunity to externalize the duplicated verification script.

Suggestions

Consolidate the four near-duplicate verification code blocks into one canonical, parameterized example to reduce token redundancy.

Move the canonical verification script into a scripts/verify_pdf.py file and reference it from SKILL.md, improving both conciseness and progressive disclosure.

Trim the 'Best Practices' and 'Common Issues Caught' sections to the non-obvious points only, since most reflect standard verification behavior Claude already applies.

DimensionReasoningScore

Conciseness

It avoids explaining concepts Claude already knows, but the same PdfReader verification pattern is duplicated across four code blocks, so it could be tightened into one canonical example.

2 / 3

Actionability

Provides fully executable python -c scripts, a concrete pip install command, and copy-paste-ready examples with real filenames, matching the fully-executable anchor.

3 / 3

Workflow Clarity

Numbered steps are sequenced with explicit validation (verify_pdf returns bool, sys.exit status codes) and a feedback loop ('regenerate before proceeding'); as a verification skill it satisfies the destructive/batch validation requirement rather than being capped at 2.

3 / 3

Progressive Disclosure

No bundle files exist and the content is well-sectioned, but at ~150 lines the four redundant verification scripts are inlined rather than split into a referenceable scripts/ file, matching the content-that-should-be-separate-is-inline anchor.

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 concrete and tool-specific, but its trigger guidance is narrow and lacks the natural 'Use when...' phrasing and term variations that would maximize discoverability and distinctiveness.

Suggestions

Add an explicit 'Use when...' clause naming natural user triggers, e.g. 'Use when generating PDFs, when specific page counts are required, or when the user asks to verify a PDF.'

Broaden trigger term coverage to include common phrasings like 'PDFs', '.pdf', and 'check PDF page count'.

Use third-person declarative voice ('Verifies PDF page counts...') for consistency with the good examples.

DimensionReasoningScore

Specificity

Names multiple concrete actions ('verify PDF page counts and file integrity') plus a specific tool ('using PyPDF2'), matching the multiple-specific-actions anchor rather than the partial score-2 anchor.

3 / 3

Completeness

Clearly states what it does, but the only 'when' is the narrow contextual phrase 'after generation' rather than an explicit 'Use when...' user-trigger clause, which the guideline caps at 2.

2 / 3

Trigger Term Quality

Includes relevant terms ('PDF', 'page counts', 'file integrity') but lacks common variations a user would naturally say ('PDFs', '.pdf', 'check'), matching the some-keywords-but-missing-variations anchor.

2 / 3

Distinctiveness Conflict Risk

The post-generation verification niche is fairly specific, but 'verify PDF... using PyPDF2' could still overlap with general PDF creation/editing skills, matching the somewhat-specific-but-overlapping anchor.

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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