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, information-dense methodology document whose real value is the China A-share-specific reference data and the decision-tree/checklist/output scaffolding. It is weakened by re-explaining textbook formulas Claude already knows, by leaving the full analysis workflow implicit in section order, and by inlining hundreds of lines of reference tables that belong in separate reference files.
Suggestions
Move the bulk reference tables (industry WACC ranges, EV/EBITDA multiples, top-10 valuation traps, PE percentile examples) into references/ files and keep a lean overview with one-level-deep, clearly signaled links in SKILL.md.
Cut the standard formula derivations Claude already knows (WACC build-up, CAPM, Gordon model) and keep only the A-share-specific parameter values and judgment rules they feed.
State the end-to-end workflow as one explicit numbered procedure (classify → select methods → build model → cross-validate → sensitivity → trap check → output) with the >30% divergence checkpoint as an explicit validation step.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and much of it is genuinely non-obvious reference data (China A-share WACC ranges, industry EV/EBITDA medians, A-share-specific notes), but it also re-derives standard textbook formulas Claude already knows — the WACC build-up 'WACC = E/(D+E) × Ke + D/(D+E) × Kd × (1-T)', CAPM 'Ke = Rf + β × (Rm - Rf)', and the Gordon model. Mostly efficient with some unnecessary explanation, matching anchor 3; not 4 because several such derivations could simply be replaced by the skill-specific parameter values. | 3 / 5 |
Actionability | Provides concrete, executable guidance for an instruction-only skill: exact formulas, quantitative thresholds (e.g. 'Goodwill / net assets >30% implies impairment risk', 'if the difference >30% -> check whether assumptions are reasonable'), a method-selection decision tree, and a copy-paste-ready output-format template. Not 5 because the illustrative tables (sensitivity matrix, PE band) are format examples rather than a single worked end-to-end case showing the inputs being derived. | 4 / 5 |
Workflow Clarity | A clear sequence is established: company-type decision tree → chosen methods → mandatory sensitivity analysis ('sensitivity analysis is mandatory') → cross-validation with an explicit divergence checkpoint ('If the difference >30% -> check whether assumptions are reasonable') → trap checklist → structured output. Not 5 because the workflow is implied by section ordering rather than stated as one explicit numbered procedure with validation feedback loops. | 4 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are all absent), so the skill is self-contained — but over 200 lines of reference material (WACC ranges by industry, EV/EBITDA multiples by industry, the top-10 valuation-trap table, historical PE percentile tables) are fully inlined in SKILL.md where a leaner overview plus references/ files would serve better. Structure and headings are clear, matching anchor 3 rather than 2, but the bulk inline reference content fits 3, not 4. | 3 / 5 |
Total | 14 / 20 Passed |