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.
A well-structured, mostly lean reference body with executable Quick Start code, clear complexity/pipeline taxonomies, and a properly signaled one-level-deep reference to the implementation script. It is held below top marks by minor redundancy, delegated core logic, and inlined detail that could be split out.
Suggestions
Trim the Purpose section, which restates the frontmatter description, to save tokens.
Add a brief validation/verification note (e.g., sanity-check estimated_hours against features_per_session) to strengthen workflow_clarity.
Move the full Assessment Output JSON schema and Complexity Factors lists into a references/ file, leaving a concise summary plus a link in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is sectioned and lean with code blocks and minimal prose; the only minor padding is the Purpose paragraph, which restates the description, keeping it just below the fully lean anchor 5. | 4 / 5 |
Actionability | Quick Start gives executable code ('from scripts.complexity_assessor import ComplexityAssessor', 'await assessor.assess_project()') and a concrete cost formula, with only minor gaps since the bulk logic is delegated to the script. | 4 / 5 |
Workflow Clarity | Pipeline Selection gives clear phase sequences (SIMPLE/STANDARD/COMPLEX) and Quick Start is an unambiguous single action; being a read-only assessment, it needs no validation checkpoints, but the operational steps lack an explicit verify/review checkpoint. | 4 / 5 |
Progressive Disclosure | The body is a well-organized overview that delegates full implementation to the real bundle file scripts/complexity_assessor.py (one level deep, clearly signaled at the end); a fair amount of detail (full JSON output schema, factor lists) is inlined that could arguably live in a reference. | 4 / 5 |
Total | 16 / 20 Passed |