Content
92%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 well-structured orchestrator: executable commands, gated multi-stage workflow with feedback loops, and clean one-level-deep progressive disclosure to verified reference playbooks, with only minor verbosity in the Word/Chinese sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely efficient using routing tables, gate commands, and hard rules that assume Claude's competence; minor verbosity from repeated Word-guard command blocks and the Chinese-language example phrases keeps it just below 5. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready bash commands with concrete script paths and flags (e.g. 'python scripts/progress_check.py paper_rewriting_output --gate intake') covering the common cases. | 5 / 5 |
Workflow Clarity | Twelve explicitly sequenced stages each with a named gate and feedback loops ('If FAILED: return to ...', 're-run until gate passes'), plus a final hard gate with explicit completion criteria — clear checkpoints throughout. | 5 / 5 |
Progressive Disclosure | The body is a lean overview that routes to one-level-deep references/*.md playbooks via clearly signaled navigation tables, and every referenced playbook and script exists in the bundle. | 5 / 5 |
Total | 19 / 20 Passed |