Content
68%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, token-efficient overview with a real quick-start snippet and a correctly wired one-level-deep reference to the existing script. The main weakness is the Workflow section: five labeled steps with no executable detail or validation checkpoints (e.g., circular-dependency handling), and the quick-start code has small gaps (undefined `project_dir`, `next_feature` vs `next_features`).
Suggestions
Flesh out the Workflow steps with executable detail and validation checkpoints — e.g., after building the graph, check for circular dependencies and state what to do when one is found before computing the build order.
Make the Quick Start copy-paste ready: show how `project_dir` and the feature list are obtained (the Integration section says input comes from `ac-state-tracker` but never shows the format), and align `analysis.next_feature` with the documented `next_features` output key.
Delete or merge the redundant 'Purpose' section, which restates the H1 subtitle and the frontmatter description verbatim in substance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence: no concept explanations, terse bullet lists, and a single quick-start snippet — matching 'efficient; minor instances that could be trimmed'. Not a 5 because the 'Purpose' section ("Analyzes feature relationships to determine optimal build order...") fully restates both the H1 subtitle and the frontmatter description. | 4 / 5 |
Actionability | The Quick Start is real, mostly executable code (`FeatureAnalyzer(project_dir)`, `await analyzer.analyze()`) plus a concrete output schema — matching 'mostly executable guidance with minor gaps'. Not a 5 because `project_dir` is never defined, the input format (the feature list from `ac-state-tracker`) is never shown, and `print(analysis.next_feature)` is inconsistent with the documented output key `next_features`. | 4 / 5 |
Workflow Clarity | The five Workflow steps ("1. Load: Read feature list ... 5. Report: Output analysis results") give a sequence but each step is a two-word label with no commands or detail, and there are no validation checkpoints (e.g., what to do when circular dependencies are detected) — matching 'steps listed but validation gaps; checkpoints missing or implicit'. Not a 4 because no step is tied to an executable action or error-handling path; the operation is read-only analysis, so the destructive/batch cap does not apply. | 3 / 5 |
Progressive Disclosure | Good structure: the body is an overview, the implementation is correctly delegated to a real, one-level-deep reference ("See `scripts/feature_analyzer.py` for full implementation"), and the Quick Start import points at that same existing file. Not a 5 because the ~90-line body inlines the full output schema and analysis-type catalog that document the script's own API, leaving a minor organization gap. | 4 / 5 |
Total | 15 / 20 Passed |