PDF Keyword Categorization Test
A focused skill for validating keyword categorization, document sections, and extracted examples from PDF documentation.
The skill is primarily a static documentation summary with reference paths, and shows no evident malware, credential theft, or external write behavior. However, it does not disclose data flows, sensitive-data handling, user confirmation, isolation, or rollback, so points are deducted.
The structure and reference files are broadly consistent, and page categories can be checked against the supplied files. However, one code example is visibly truncated, the deployment category is empty, and no execution or abnormal-input validation was performed, so the static-review cap and uncertainty reduce the score.
The trigger is clear for keyword-categorization testing and the scope is narrow. The artifact supports locating setup, API, and troubleshooting material, but does not define non-fit cases, input/output constraints, or semantic false-trigger boundaries, so points are deducted.
The artifact has basic SKILL.md organization, navigation, an index, reference files, and repository-level MIT license context. It lacks skill-specific installation notes, parameters, versioning, changelog, maintenance ownership, and troubleshooting guidance, so points are deducted.
It provides a usable high-level categorization summary and reference entry points for a three-page PDF. However, the install command uses a placeholder package, the Python example is truncated, and the output is incomplete and not directly executable, so only limited credit is warranted.
Page markers, section files, and reported statistics provide limited static traceability. The metrics and quality scores are generated claims, with no independent execution evidence or cross-source corroboration for this skill's key path, so points are deducted.
- The skill name and description indicate keyword-categorization testing, while the repository-level description claims broader conversion of websites, GitHub repositories, and PDFs; the scopes do not align.
- Do not treat the reported Quality or Valid Code Blocks metrics as independently verified; the long Python example is visibly truncated.
- The pip install thing example is placeholder content and should not be executed as an installation instruction.
- Publisher identity is not verified by the FollowSkills enterprise registry and should be treated as unknown.
- The skill does not clearly document sensitive-data handling, external access, confirmation, or recovery; review real documents manually before use.
What it does & when to use it
Golden_Pdf_Kw is a test-oriented documentation skill in the Skill Seekers repository, designed for keyword categorization tests. It summarizes a three-page document set, including section counts, major topics, quick-reference entries, and extracted code examples. The material covers getting started, installation, API usage, and troubleshooting. It is best suited to validating parsing and categorization output, not to serving as a general-purpose PDF reader or production knowledge base.
It presents the categorization-test documentation structure across Setup, Api, Deployment, and Other; identifies topics such as Getting Started Guide, Troubleshooting, Installation Steps, and API Usage; reports four code blocks, two images or diagrams, three programming languages, and code-quality statistics; and links to section reference files plus references/index.md.
- A documentation-tool developer needs to verify that PDF content is classified into setup, API, installation, and troubleshooting sections.
- A test engineer wants to check whether a keyword classifier recognizes topics such as Getting Started Guide and Troubleshooting.
- A pipeline maintainer needs to validate generated counts for code blocks, language distribution, and quality scores.
- A developer wants a compact reference for the installation command and API examples present in the test documentation.
Pros & cons
- Clearly scoped to keyword-categorization testing.
- Includes section structure, topics, quick references, code examples, and statistics.
- Provides reference-file paths and code-quality data that can be checked.
- The scope is very narrow and covers only a three-page documentation set.
- The SKILL.md does not provide a categorization algorithm, configuration parameters, or test command.
- One Python example is truncated with an ellipsis and cannot be fully reused.
- The source does not document standalone installation, version compatibility, or an automation entry point.
How to install
The source does not document a standalone installation procedure for this skill or specify a client directory where tests/golden/phase2/pdf_kw/ should be placed. The README documents installation of the full Skill Seekers collection with pip install skill-seekers; it does not establish a separate installation method for this skill.
How to use
In an Agent Skills-compatible client, invoke the skill named golden-pdf-kw for a keyword-categorization task, for example: Use golden-pdf-kw to review the documentation categories and extracted examples. The source does not define a more specific trigger mechanism.