Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable and well-structured, with executable code for each fallback stage and a clear validation-gated workflow. The only weakness is minor verbosity in the introductory and best-practices prose.
Suggestions
Trim the opening paragraph and the 'Best Practices' list to the non-obvious items only, removing restatements of general knowledge.
Drop the redundant explanatory lead-ins (e.g. 'Try native PDF libraries first (fastest, preserves structure)') where the code already conveys intent.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and well-organized with executable code, but the intro paragraph and 'Best Practices' prose restate concepts and could be tightened without losing clarity. | 2 / 3 |
Actionability | Every stage provides fully executable, copy-paste-ready code (PyPDF2, pdftotext subprocess, pdfplumber/pdfminer, pytesseract) plus specific shell commands. | 3 / 3 |
Workflow Clarity | A clearly sequenced Stage 1-4 hierarchy with explicit success criteria (no exceptions, non-empty text), accumulated error logging, and a validation/feedback loop in the robust_pdf_extraction implementation. | 3 / 3 |
Progressive Disclosure | A single-file, single-purpose skill under 50 lines of guidance with no need for external references, organized into clear sections; per the simple-skills note this scores 3. | 3 / 3 |
Total | 11 / 12 Passed |