Content
61%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 reference document with verified executable Quick Start code and appropriate offloading of implementation detail to the bundle script. Its weaknesses are padded generic sections (Complexity Factors), a cost formula with undefined constants, and the absence of an explicit usage workflow tying assessment output to pipeline selection.
Suggestions
Delete the 'Complexity Factors' section and the redundant 'Purpose' section; their generic bullet lists (e.g. 'Implementation difficulty', 'Unfamiliar technologies') restate knowledge Claude already has.
Give the cost-estimation constants real values or state where they are defined in complexity_assessor.py, so the formula is actually computable.
Add a short usage workflow (assess_project -> interpret metrics -> select pipeline -> optionally assess_feature for hot spots) so the sequence from assessment to action is explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly tables and code with little prose padding, but the 'Purpose' section restates the description and the 'Complexity Factors' section lists generic nouns ("Implementation difficulty", "Unfamiliar technologies", "Complex algorithms") that add no information Claude does not already have. This matches anchor 3 ('mostly efficient but includes some unnecessary explanation or could be tightened') rather than anchor 4, where only minor instances of over-explanation would remain. | 3 / 5 |
Actionability | The Quick Start is executable and verified against the real script API (ComplexityAssessor(project_dir), await assessor.assess_project()), and the Assessment Output JSON shows concrete field names. The cost formula is the one gap: it references undefined constants (avg_tokens_per_feature, session_overhead, complexity_multiplier) with no values or source. Mostly executable guidance with minor gaps matches anchor 4 rather than anchor 3, since the primary path is fully runnable. | 4 / 5 |
Workflow Clarity | Pipeline phase sequences are clearly listed, but there is no end-to-end usage workflow: no guidance on when to use assess_feature vs assess_project, how to interpret the metrics to select a pipeline, or how to handle edge cases, and no validation checkpoints anywhere. Steps listed with implicit or missing checkpoints matches anchor 3, not anchor 4 ('most checkpoints present'). | 3 / 5 |
Progressive Disclosure | The 15KB implementation correctly lives in scripts/complexity_assessor.py and is referenced one level deep ("See `scripts/complexity_assessor.py` for full implementation"), with the Quick Start import path matching the real bundle file. This is good structure with appropriately placed content, but the single reference is a plain pointer at the bottom rather than clearly signaled per-section links, keeping it at anchor 4 instead of the well-signaled navigation of anchor 5. | 4 / 5 |
Total | 14 / 20 Passed |