Content
73%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-sequenced, actionable skill body with explicit validation and feedback loops for a batch HTML-generation task. Its main weakness is conciseness: a large block of generic governance boilerplate and some detail-heavy inline rules that could be offloaded to the reference file.
Suggestions
Remove or collapse the templated governance sections (When to Use, When Not to Use, Required Inputs, Output Contract, Failure Handling, User Checkpoints, Input Validation, Quick Validation) into a few concise lines, since most of this is general practice Claude already follows.
Move the detailed 'Content Richness Requirements', 'Information Extraction Priority', and 'Paper Input Enhancement Rules' into references/input-patterns.md, keeping only the top-level principles in SKILL.md to reduce inline bulk.
Add one complete worked example invocation (a real input file path, the resulting CONFIG values, and the expected output) so the run path is fully copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core workflow sections are reasonably tight, but roughly 80 lines of templated governance boilerplate (When to Use, When Not to Use, Required Inputs table, Output Contract, Failure Handling, User Checkpoints, Input Validation, Quick Validation) state general practices Claude already knows and could be trimmed, matching the score-3 anchor of mostly-efficient with some unnecessary explanation. | 3 / 5 |
Actionability | Provides a concrete runnable command ("python scripts/generate_mindmap_html.py") and specific named CONFIG keys (input_path, auto_bold_levels, plain_text_root_max_children, etc.), but lacks a complete worked example invocation with a real input, leaving minor gaps consistent with the score-4 anchor. | 4 / 5 |
Workflow Clarity | A clear numbered 1-5 sequence ends in an explicit "Validate Results" step with self-checks and feedback loops ("If nodes are too long, go back to compress input text, then re-run"), matching the score-5 anchor including error-recovery loops for this batch generation task. | 5 / 5 |
Progressive Disclosure | A "Resources" section clearly signals one-level-deep references to scripts/generate_mindmap_html.py and references/input-patterns.md that are real bundle files, but some detailed inline guidance (Content Richness, Paper Input Enhancement Rules) could live in a reference and slightly bloats the overview, fitting the score-4 anchor of good structure with minor gaps. | 4 / 5 |
Total | 16 / 20 Passed |