Content
63%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 well-structured, highly actionable multi-agent earnings-analysis workflow with concrete commands, templates, and a real validation/exit feedback loop. Its main weaknesses are verbosity (meta adapter notes and philosophy prose) and a monolithic single-file structure with no progressive disclosure despite the length.
Suggestions
Move the four per-agent deep-dive specs (段永平/巴菲特/芒格/李录) and/or the report templates into reference files under references/ and link to them one level deep, keeping SKILL.md as an overview.
Trim or relocate the 'Codex adapter note' and '设计理念' sections to reduce token overhead unrelated to the core workflow.
Make the Team Lead synthesis checkpoints mechanical (e.g. an explicit checklist for consensus/contradiction resolution) to lift workflow clarity from mostly-checkpoints to full validation rigor.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~460-line body is mostly efficient domain-specific guidance (per-agent analysis points, signal-light systems, templates) but includes padding that could be trimmed: the 'Codex adapter note', the '设计理念' philosophy prose, and the sibling-skill relationship table. Matches anchor 3 (mostly efficient, some unnecessary explanation); not 4 because several sections are genuine overhead rather than minor trimmable instances. | 3 / 5 |
Actionability | Provides concrete, mostly-executable guidance: specific bash commands (financial_rigor.py cross-validate / verify-valuation / three-scenario, report_audit.py extract/verdict), exact report templates, signal-light rubrics, and per-agent output formats. Matches anchor 4 (concrete commands with minor gaps); the placeholders ({值1}, {公司名}) need filling and some guidance (e.g. 管理层语气分析) is qualitative, so not 5. | 4 / 5 |
Workflow Clarity | Clear three-phase sequence (研究/合成/发布) with numbered steps, progress tracking, and an explicit validation/exit gate ('数据抽检/准出流程') with a 打回→修正→重审 feedback loop plus cross-validation during research. Matches anchor 4 (clear sequence, most checkpoints present); not 5 because the inter-agent synthesis checkpoints (consensus/contradiction resolution by Team Lead) are qualitative rather than mechanical validation steps. | 4 / 5 |
Progressive Disclosure | The skill ships as a single ~460-line SKILL.md with no references/scripts/assets bundle; everything is inline under good section headings, but content that could live in separate reference files (the four per-agent deep-dives, report templates) is all inlined with no one-level-deep file references. Matches anchor 3 (some structure, content that should be separate is inline, no clearly signaled references); the simple-skill exception does not apply since it far exceeds 50 lines. | 3 / 5 |
Total | 14 / 20 Passed |