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merge2pdf

将多个 PDF 文件合并为一个 PDF。当用户提到 PDF 合并、合并 PDF 文件、PDF 拼接时使用。

68

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

A compact, well-structured, actionable skill body for a single-task operation. The main weaknesses are a redundant duplicate code example and the absence of any verification step for what is effectively a batch merge operation.

Suggestions

Remove the redundant "使用示例" section (or the "调用方式" example) since both show the identical merge2pdf call with the same two parameters — keep one copy-paste-ready example.

Add a short verification note for the batch merge, e.g. confirm the output PDF exists and its page count equals the sum of the input files, to satisfy the batch-operation feedback-loop expectation and lift workflow_clarity.

Trim the administrative "所属分类" / "原始函数" lines if they are not needed at runtime, to further tighten token efficiency.

DimensionReasoningScore

Conciseness

The body is lean and avoids explaining concepts Claude already knows, but the "调用方式" and "使用示例" code blocks are near-identical calls to merge2pdf with the same two parameters — content that could be tightened (anchor 2). It is not padded enough to be a 1 and not fully token-optimal enough for a 3.

2 / 3

Actionability

It provides fully executable, copy-paste-ready Python ("from office.skills.pdf import merge2pdf; merge2pdf(input_file_list=[...], output_file=...)") plus a parameter table with types and the return value (anchor 3). It is not pseudocode and is not missing key details.

3 / 3

Workflow Clarity

The single action is unambiguous (which would favor 3 for a simple skill), but merging a list of input files is a batch operation and the body includes no validation/verification step, capping it at anchor 2 per the batch-operations feedback-loop guidance.

2 / 3

Progressive Disclosure

This is a sub-50-line simple skill with well-organized sections and a single clearly signaled external reference (the 视频教程 URL), with no nested or multi-level references — matching the simple-skills allowance for a 3 (anchor 3 / scoring_notes.simple_skills).

3 / 3

Total

10

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12

Passed

Description

90%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A concise, well-constructed description that pairs a clear single-action capability with an explicit natural-language trigger clause. The only weakness is specificity breadth — it describes just one action (merge) rather than enumerating several.

DimensionReasoningScore

Specificity

The phrase "将多个 PDF 文件合并为一个 PDF" names the PDF domain and one concrete action (merge), matching anchor 2 ('names domain and some actions, but not comprehensive'). It is not vague (not a 1) but lists only a single action rather than 'multiple specific concrete actions' (not a 3).

2 / 3

Completeness

It states what ("将多个 PDF 文件合并为一个 PDF") and gives an explicit 'Use when' equivalent ("当用户提到 PDF 合并、合并 PDF 文件、PDF 拼接时使用"), clearly answering both what AND when with explicit triggers (anchor 3).

3 / 3

Trigger Term Quality

The triggers "PDF 合并、合并 PDF 文件、PDF 拼接" are natural phrasings a user would actually say when they need this skill, giving good coverage. It is above anchor 2 ('some relevant keywords but missing common variations') because the terms are genuinely natural and multiple.

3 / 3

Distinctiveness Conflict Risk

Merging PDFs is a clear niche with distinct triggers (合并/拼接) unlikely to fire for non-merge PDF skills (anchor 3). It is well above the generic anchor 1 and more specific than the overlapping anchor 2.

3 / 3

Total

11

/

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
CoderWanFeng/python-office
Reviewed

Table of Contents

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