Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a comprehensive description of how to query an FPF knowledge base with good output format examples and multiple search patterns. However, it suffers from redundancy across sections (the same redis-caching example appears in multiple places), lacks concrete implementation details for how to actually search and parse files, and misses error handling/validation for edge cases like missing files or malformed data.
Suggestions
Add concrete implementation details for searching: specify file format (YAML frontmatter?), how to parse hypothesis files, and what tools/commands to use for searching (e.g., grep, file reading patterns)
Consolidate redundant examples — the redis-caching hypothesis appears in Output Format, Examples, and R_eff Display sections; show it once in Output Format and reference it elsewhere
Add error handling guidance: what to display when no results match, when a hypothesis file is malformed, or when referenced evidence files are missing
Consider splitting the detailed output format templates and dependency tree legend into a reference file to keep the main skill focused on the search workflow
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but has significant redundancy — the output format section, examples section, and search methods section all show overlapping information (e.g., redis-caching details appear multiple times). The R_eff display and dependency tree sections repeat what's already shown in the output format. | 2 / 3 |
Actionability | The skill provides clear output format examples and search patterns, but the actual implementation is vague — it says 'search .fpf/knowledge/' without specifying how (grep? glob? read YAML frontmatter?). The '/fpf:query' commands suggest a slash-command interface but no implementation details are given for how to actually perform the search or parse hypothesis files. | 2 / 3 |
Workflow Clarity | The 3-step action sequence is clear at a high level (search, display details, present in table), but lacks validation checkpoints — what happens if no results are found? What if a hypothesis file is malformed? The conditional logic (if layer >= L1, if has dependencies) is mentioned but not structured as a clear decision tree. | 2 / 3 |
Progressive Disclosure | The content is reasonably well-organized with clear sections, but it's quite long (~150 lines) with no references to external files despite the bundle having none. The output format, R_eff display, dependency tree display, and examples sections could be consolidated or split into reference files to reduce the main skill's length. | 2 / 3 |
Total | 8 / 12 Passed |