Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a high-quality, dense research spec: executable tooling, exact cross-validation thresholds, a sequenced three-step workflow with feedback loops, and good section organization plus a quick index. Its only structural weakness is that it is a monolithic single file relying on external repo tools rather than a split, progressive-disclosure bundle.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and token-efficient — compact tables for data sources, thresholds, and a quick index, plus copy-ready commands — with no padding explaining concepts Claude already knows; the only prose (the Codex adapter note) is actionable adapter instruction that earns its tokens, matching the 'lean, every token earns its place' anchor. | 3 / 3 |
Actionability | It provides fully executable commands ('python3 tools/twstock_data.py quote 2330'), concrete URL templates, an exact error formula, and explicit threshold bands (≤1% / 1%-5% / >5%) with prescribed actions, reaching the copy-paste-ready level 3 rather than the pseudocode or partial level 2. | 3 / 3 |
Workflow Clarity | The '执行规范' section sequences 第一步/第二步/第三步 with a built-in cross-validation feedback loop (>5% discrepancy forces re-checking the original filing) and the price-adjustment rules add explicit checkpoints, matching the 'clear sequence with explicit validation steps and error-recovery loops' anchor. | 3 / 3 |
Progressive Disclosure | Sections are well-organized with a 快速索引 navigation table and one-level-deep, clearly-signaled references to external repo files (tools/*.py, AGENTS.md), but the skill is a single monolithic file over 50 lines with no bundle reference files to split into, so the 'content appropriately split across files' bar for level 3 is not met. | 2 / 3 |
Total | 11 / 12 Passed |