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 body is a lean, highly actionable specification: exact counts, length limits, output paths, section contracts, and visual constraints leave little ambiguity about what to produce. The source list is correctly offloaded to a well-signaled one-level reference. The only soft spot is the workflow, which sequences well and handles unread sources but lacks an explicit validation/retry checkpoint on the final report before delivery.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section (Trigger, Sources, Selection Rules, Workflow, HTML Output Contract, Persistence) is lean and assumes Claude's competence — no concept explanations, no padding; the framing line "high-signal AI daily report, not a raw hot-list dump" is the only rationale and it earns its place. | 5 / 5 |
Actionability | Fully executable instruction-only guidance: "Pick exactly 10 items", "<=100 Chinese characters plus the link", the exact output path `.local/ai-hotspots/reports/ai-daily-YYYY-MM-DD.html`, enumerated required report sections, a fixed category taxonomy, and the persistence target `.local/LEARNING_MATERIAL_CANDIDATES.md`. | 5 / 5 |
Workflow Clarity | The six-step workflow is clearly sequenced with some checkpoints (dedupe across sources, classify, "If access fails, mark the source or item as unread"), but there is no explicit validate-then-fix feedback loop on the report itself, matching "most checkpoints present; minor validation gaps" rather than anchor 5. | 4 / 5 |
Progressive Disclosure | The source table is appropriately split into `references/source-list.md` (verified to exist), referenced exactly once and clearly signaled ("Read `references/source-list.md` for the default source set and source roles"), one level deep with no nested references — matching the anchor-5 pattern. | 5 / 5 |
Total | 19 / 20 Passed |