Content
93%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.
The content is lean, highly actionable, and well-structured with verified one-level-deep references and clear safety contracts. The only minor gap is the absence of an explicit validate-and-retry feedback loop in the workflow narrative.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational with no padding of concepts Claude already knows; each line states non-obvious interpretation rules (e.g. quota vs. physical cores, cgroup vs. container markers) that earn their tokens, and the only long block is the required citation protocol rather than explanatory fluff. | 5 / 5 |
Actionability | Provides copy-paste-ready, fully executable commands with exact flags across detection, planning, validation, and diagnostics (e.g. `python scripts/plan_workload.py resource-snapshot.json --workload cpu --tasks 100 --memory-per-worker-mib 2048`), covering the common cases. | 5 / 5 |
Workflow Clarity | The detect -> interpret -> validate -> plan sequence is clear with explicit validation (`snapshot_tools.py validate`) and a partial-failure/warnings inspection section, but it stops short of an explicit validate -> fix -> re-validate feedback loop, leaving a minor validation gap relative to the top anchor. | 4 / 5 |
Progressive Disclosure | The body is a well-organized overview with one-level-deep, clearly signaled markdown links to verified bundle files (references/resource_semantics.md, snapshot_schema.md, sources.md) and a Bundled files index, splitting detail appropriately for easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |