Content
73%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 thorough, highly actionable operational playbook with excellent workflow sequencing and machine-enforced validation, supported by real one-level-deep reference files. Its main weakness is conciseness — heavy structural repetition across HARD-GATE blocks and re-described schemas inflate the token budget.
Suggestions
Consolidate the ~10 HARD-GATE blocks: several share identical '绝不能' boilerplate and the same banned-phrase list ('基本面良好/值得关注/估值合理'); merge the overlapping rules into a single gate table to cut repetition.
Define the agent_analysis.json schema once (in assets/data-contracts.md) and reference it instead of re-stating the field table, the full JSON example, and the completion-definition checklist in three separate places.
Trim '设计意图/用户原话' quote padding and redundant decorative emoji headers to reduce token load without losing the operational content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and operational without explaining concepts Claude already knows, but structurally repetitive: ~10 HARD-GATE blocks share overlapping '绝不能' boilerplate and the agent_analysis.json schema is described in three+ places, so it could be noticeably tightened. | 3 / 5 |
Actionability | Mostly executable with copy-paste-ready bash (stage1/stage2/run.py with flags), concrete Python (compute_dcf with assumptions, Playwright autofill, JSON reads), and a full agent_analysis.json example; the qualitative 'judgment' sections are advisory rather than executable, leaving minor gaps. | 4 / 5 |
Workflow Clarity | Clear Task 1→1.5→2→3→4→5 ordering with an explicit dependency gate, machine-enforced validation (review_stage_output.py exit codes, self-review RuntimeError block), iterate-until-critical==0 feedback loop, and per-Task progress bars — matches the score-5 anchor with checkpoints and error-recovery loops. | 5 / 5 |
Progressive Disclosure | Well-signaled one-level-deep references (task1…task5 docs, task2.5, fin-methods/README, data-contracts.md, quality-checklist.md — all verified to exist) with a clear final reference section; minor gap is that the bulk of HARD-GATE/schema detail is inlined in SKILL.md rather than pushed to references. | 4 / 5 |
Total | 16 / 20 Passed |