Content
75%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 operational guide with concrete commands, a real scaffold script, a clear multi-step workflow, and sensible quality gates. Its main weaknesses are a few high-level steps and the lack of an explicit error-recovery feedback loop.
Suggestions
Add an explicit verification feedback loop (e.g., "If a key claim cannot be triangulated across ≥2 sources, mark it unverified and re-search before finalizing report.md").
Move the Windows-specific vendored paths and runtime config into a separate reference file so SKILL.md stays platform-agnostic and leaner.
Tighten high-level steps like "Search (broad → narrow)" with one concrete example query-progression so the guidance is fully executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and information-rich, assumes Claude's intelligence, and avoids explaining concepts Claude already knows, though the hardcoded Windows paths and the vendoring/runtime section contain minor padding that could be trimmed. | 4 / 5 |
Actionability | Provides concrete, executable commands (the scaffold invocation, web.run search/open/click/find, mcp__tavily__tavily_search, playwright) and a real init script, but a few steps like "Search (broad → narrow)" and "Draft + iterate" remain high-level. | 4 / 5 |
Workflow Clarity | Mode A is a clear 5-step sequence (scaffold → search → browse/extract → draft/iterate → verify) with checkpoints like triangulation and uncertainty flagging, but it lacks an explicit validate→fix→retry feedback loop. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections with the only bundle file (scripts/init_webthinker_run.py) appropriately externalized and signaled, though the inlined vendoring/runtime detail could arguably live in a separate reference. | 4 / 5 |
Total | 16 / 20 Passed |