Content
71%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, actionable overview whose token-system half is fully backed by real bundle files, while its slide-system half references a data/ directory and scripts that are not shipped, creating navigation and execution dead-ends. Workflow sequencing is clear but lacks an error-recovery loop, and one code example contradicts the skill's own token rules.
Suggestions
Ship the 8 data/*.csv files (or repoint the Decision System CSVs table to their actual location) — scripts/slide_search_core.py resolves data/ relative to the bundle root where it does not exist, so every search-slides.py command in SKILL.md fails as delivered.
Document the four unlisted scripts in the Scripts table (embed-tokens.cjs, generate-slide.py, html-token-validator.py, slide_search_core.py), especially generate-slide.py which is the largest script in the bundle and otherwise undiscoverable.
Add a validation feedback loop to the Contextual Decision Flow (e.g., 'if slide-token-validator.py reports hardcoded values, replace them with var(--*) tokens and re-validate') and fix the Chart.js example, which hardcodes #FF6B6B in violation of the skill's own Token Compliance section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense tables and copy-paste commands with no padding explaining concepts Claude already knows; minor trims are possible (the full inline Chart.js HTML snippet, the Duarte sparkline aside, and the duplicated "component specs" mention). | 4 / 5 |
Actionability | Provides concrete executable commands with flags (generate-tokens.cjs, three search-slides.py variants), correct/wrong CSS examples, and a specific CSV-driven decision pipeline, but the Chart.js example itself hardcodes hex values contradicting the skill's own Token Compliance section and search commands depend on CSVs absent from the bundle. | 4 / 5 |
Workflow Clarity | The Contextual Decision Flow is a clearly sequenced 5-step pipeline ending in "Validate with slide-token-validator.py", so most checkpoints are present, but no error-recovery feedback loop is specified for when validation fails. | 4 / 5 |
Progressive Disclosure | The body is a well-signaled overview with a References table of 7 real one-level-deep files, but all 8 data/*.csv files the decision system depends on are missing from the bundle (slide_search_core.py resolves them to a nonexistent data/ directory) and 4 of 9 shipped scripts — including the largest, generate-slide.py — are undocumented. | 3 / 5 |
Total | 15 / 20 Passed |