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.
The body is a strongly actionable, well-sequenced research workflow with executable verification commands and real validation/feedback loops, scoring high on actionability and workflow clarity. Its weak point is progressive disclosure: a single long inlined file with no bundled reference scripts, so heavy reference material (data-source catalog, common-error catalog) is inlined rather than split into one-level-deep files.
Suggestions
Split the data-source catalog (the macrotrends/stockanalysis/aastocks/东方财富+巨潮资讯 table) and the '常见错误防范' list into a bundled `references/financial-data.md` and link to it, so the SKILL.md body stays a lean overview.
Bundle the invoked scripts as `scripts/financial_rigor.py` and `scripts/report_audit.py` (or a `scripts/` placeholder noting they live at repo root) so the referenced tool paths actually exist within the skill bundle.
Trim the repeated reinforcement lines ('必须通过工具验算' / '禁止心算' appears several times) to a single canonical statement per step to improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient instructional prose that assumes Claude's competence (it does not explain what a moat or DCF is), but the ~246-line length and repeated reinforcing lines (e.g. '必须通过工具验算', '禁止心算' restated several times) and the embedded full data-source catalog and common-error list add bulk that could be trimmed or moved to a reference. | 3 / 5 |
Actionability | It provides concrete, copy-paste-ready shell commands with exact subcommands and flags for the key operations — `python3 tools/financial_rigor.py verify-market-cap --price ... --shares ...`, `cross-validate --field ... --values '{...}'`, `verify-valuation`, `three-scenario`, and `tools/report_audit.py extract|verdict` — covering the common cases fully and executably. | 5 / 5 |
Workflow Clarity | The process is explicitly sequenced (前置步骤 → 第一步…第八步 → 输出要求 → 数据抽检) with mandatory validation checkpoints and explicit feedback loops: tool outputs must be embedded, a ❌ result blocks continuation, and the report-audit '打回 → 修正 → 重新抽检直到准出' loop is a textbook validate→fix→retry cycle for a batch/destructive operation. | 5 / 5 |
Progressive Disclosure | All substantive content is inlined into one ~246-line file with no bundle directory (references/, scripts/, assets/ absent), and it references external paths (skills/financial-data.md, tools/financial_rigor.py, tools/report_audit.py, AGENTS.md) that are not bundled in the skill, so the data-source catalog and per-step details that belong in separate reference files are inlined rather than split. | 2 / 5 |
Total | 15 / 20 Passed |