Content
67%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, mostly lean six-step workflow with a good OCR fallback, but its guidance stops short of executable code for the two hardest steps (OCR extraction and bilingual PDF generation), offering import stubs and descriptions instead. Redundant closing sections (Example Usage, Output Example, the marketing-style final line) add tokens without new information.
Suggestions
Replace the 'Output Example' and 'Example Usage' sections and the closing 'Perfect for visa applications...' line with a single short example invocation — their content duplicates the Instructions and adds no new guidance.
Provide an actual Python template for step 5 (PIL + reportlab two-page PDF layout) instead of describing it, and a working OCR snippet (e.g., a complete Vision or EasyOCR call) rather than bare import statements.
Add an explicit validation step between OCR and translation (e.g., 'If extracted text is empty or garbled, retry with the next OCR method; if all fail, report to the user') to turn the implicit fallback into a real feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core instructions are lean and imperative, but the 'Output Example' section restates the Instructions almost verbatim ('Extract text using available OCR method / Translate to professional English / Generate <filename>_Translated.pdf') and the closing line 'Perfect for visa applications to Australia, USA, Canada, UK, and other countries' is filler. Not 3 because the bulk of the body is tight and every section except the last two earns its tokens; not 5 because of the duplicated output section. | 4 / 5 |
Actionability | Environment commands are executable ('sips -s format png <input> --out <output>', 'pip install pillow reportlab', 'brew install tesseract tesseract-lang'), but the substantive steps are described rather than given as code: the macOS Vision snippet shows only imports ('import Vision / from Foundation import NSURL') with no OCR call, and step 5 says 'Create a Python script using PIL and reportlab' without providing the script. This is the anchor-3 pattern of concrete guidance with key executable details missing; not 4 because the OCR and PDF-generation code — the heart of the skill — is absent. | 3 / 5 |
Workflow Clarity | A clear numbered 1–6 sequence with a fallback checkpoint ('Try multiple OCR methods if one fails') and a rotation heuristic ('test 180 degrees if document appears upside down'). Not 5 because there are no explicit validation steps for OCR output quality or PDF generation success, and no feedback loop if text extraction is incomplete; not 3 because the sequence is well defined with most checkpoints present and the operation is non-destructive. | 4 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are absent) and the body has no dangling references, so the skill is self-contained. Sections are well organized (Instructions, Supported Documents, Technical Implementation, Important Guidelines), and at ~110 lines nothing clearly demands a separate file, though the OCR method details could be split out. Not 5 because the file exceeds the simple-skill threshold and keeps all method/install detail inline. | 4 / 5 |
Total | 15 / 20 Passed |