Content
85%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.
A well-structured, highly actionable skill body with a clear validated workflow. Its main weakness is that it references script and context files that are absent from the bundle, breaking progressive disclosure.
Suggestions
Add the referenced 'scripts/validate_extraction.py', 'scripts/firecrawl_example.py', 'scripts/local_bs4_example.py', and 'project-context.md' to the bundle so the signaled references resolve.
If any referenced file is not meant to ship, remove the reference or mark it as user-provided to avoid dangling pointers.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, uses compact tables, and assumes Claude's intelligence without explaining what scraping or Firecrawl is; only minor phrasing could be trimmed further. | 4 / 5 |
Actionability | It gives exact executable CLIs ('python3 scripts/validate_extraction.py output.json --json', '--sample' previews), specifies exit-code semantics, and points to editable runner templates — copy-paste ready for the common cases. | 5 / 5 |
Workflow Clarity | The 5-step Extraction Pipeline is clearly sequenced with an explicit validate→fix→re-extract feedback loop in step 4, including exit-code behavior, so batch extraction has proper checkpoints. | 5 / 5 |
Progressive Disclosure | Sections are well-organized and references are clearly signaled in the dependency table, but the referenced 'scripts/*.py' and 'project-context.md' files do not exist in the bundle, so the one-level-deep navigation does not resolve. | 3 / 5 |
Total | 17 / 20 Passed |