Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with executable code at every tier and an explicit validation/retry feedback loop. Its only meaningful weakness is conciseness: the per-tier examples and the implementation pattern overlap, adding redundant tokens without adding guidance.
Suggestions
Consolidate the per-tier code blocks with the 'Implementation Pattern' function to remove duplicated library usage and reduce token cost.
Trim restating comments and narrative lines like 'Start with command-line tools that often handle edge cases better' since the commands already convey the intent.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean with minimal concept-explanation padding, but it duplicates the tier libraries across both the per-tier sections and the 'Implementation Pattern', and includes narration and comments that restate the code, so it could be tightened. | 2 / 3 |
Actionability | Provides concrete executable shell commands, complete import-and-call Python snippets for multiple libraries, and a copy-paste-ready extract_pdf_resilient function with content thresholds. | 3 / 3 |
Workflow Clarity | The Tier 1→2→3 sequence is clearly ordered with explicit validation checkpoints ('Check if output contains meaningful content'), a validate_extraction function, and an error-recovery feedback loop via the decision table. | 3 / 3 |
Progressive Disclosure | No bundle files exist and none are needed; the body is self-contained and organized into clearly headed sections (Purpose, When to Use, Fallback Sequence, Decision Criteria, Best Practices), meeting the well-organized-sections bar for skills without external references. | 3 / 3 |
Total | 11 / 12 Passed |