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ljg-invest

投资分析。给一个项目(公司名、BP、创始人对话记录),写一份深度投资分析报告。不走传统投资分析的路——核心判断只有一个:这个项目是不是一台「秩序创造机器」。Use when user says '投资报告', '投资分析', '分析这个项目', '写投资报告', 'investment report', 'invest analysis', or provides entrepreneur conversation records wanting investment evaluation. Also trigger when user pastes or references meeting notes, pitch decks, or founder interviews and asks for analysis.

71

Quality

89%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-crafted instruction-only skill: the report structure, forced three-tier verdict, worked examples, banned-words list, and exact output mechanics give Claude everything needed to execute. The philosophical framing is author-specific and justified rather than padding. Weaknesses are minor: validation is implicit rather than an explicit checkpoint, and a few illustrative examples could be trimmed or split out.

Suggestions

Add an explicit post-write validation step in the 输出 section (e.g., re-read the written file to confirm the denote filename is well-formed and all five verdict fields are filled before reporting the path to the user).

Tighten the 创生公式 examples to one line each (or keep only the 亚马逊 formula) and compress the 「惯常问法」 comparison table, which restates the 地基 definition already stated above it.

Clarify the data-gathering step in 输入: specify which Research skill/subagent and what to fetch (financials, industry data), since 「别凭旧印象写」 is the only constraint given.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence — no padding explaining what a BP or flywheel is, and the framework sections (「地基」「创生公式」) convey author-specific philosophy Claude cannot infer, so they earn their tokens. Minor trimming is possible (e.g., the three-line 亚马逊/特斯拉/Google formula examples and the 「惯常问法」 comparison table could be tightened), which keeps it at anchor 4 rather than 5; not a 3 because there is no explanation of concepts Claude already knows.

4 / 5

Actionability

Guidance is fully concrete for an instruction-only skill: a fixed five-section report skeleton with an explicit table schema, a three-tier forced verdict (「秩序创造机器 / 有潜力 / 秩序搬运」), concrete worked examples (「叫它『搜索引擎公司』等于什么都没说;说它是『人类认知基础设施的垄断运营商』」), a banned-words list, and exact output mechanics (「`20260326153000==z--投资分析-example-ai.org`」, 「用 Write 工具写入」). Per the scoring notes, absence of code is not penalized when guidance is this actionable; not a 4 because the common cases are covered end-to-end with copy-paste-ready specifics (naming pattern, directory, tool).

5 / 5

Workflow Clarity

The sequence is clear: inputs → data gathering for known companies (「用 Research skill 或 subagent 抓最新财报」) → five ordered report sections → output write with naming convention → 「写完把完整路径报给用户」 as a completion step. It stays at anchor 4 because validation checkpoints are only implicit (rule 1 「查不到的直接标注」 is a data-integrity rule, not a verify step; there is no check that the file was written correctly); not a 3 because the sequence itself is coherent, well-ordered, and unambiguous. No destructive/batch operations, so the workflow-clarity cap does not apply.

4 / 5

Progressive Disclosure

A single-file skill with no bundle directories (references/, scripts/, assets/ absent) and no external references to verify; all cross-referenced tooling (Research skill, subagent, denote naming, Write tool) exists outside the bundle by design. Sections are well-organized with a clear progression (地基 → 输入 → 报告结构 → 输出 → 生成规则). Anchor 4 rather than 5 because at ~110 lines the worked examples (创生公式 examples, banned phrases) are borderline candidates for a reference file; not a 3 because nothing is misplaced or buried — the structure is clean and navigable.

4 / 5

Total

17

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20

Passed

Description

91%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it explicitly states what it produces, from what inputs, under what philosophy, and provides an extensive bilingual trigger list including material-type triggers (pitch decks, founder interviews). The only weaknesses are a couple of overly broad triggers (「分析这个项目」) and the omission of secondary details like the org-mode output format.

DimensionReasoningScore

Specificity

The description states concrete inputs (「公司名、BP、创始人对话记录」), a concrete deliverable (「写一份深度投资分析报告」), and the distinctive analytical frame (「这个项目是不是一台『秩序创造机器』」) — several specific elements with only minor coverage gaps (it never mentions the output file format or the research/data-gathering step). Not a 5 because it centers on a single deliverable action rather than a comprehensive list of multiple concrete actions; not a 3 because inputs, output, and approach are all explicitly stated beyond a bare domain-plus-action.

4 / 5

Completeness

Both questions are answered explicitly: what — 「给一个项目(公司名、BP、创始人对话记录),写一份深度投资分析报告」— and when — 「Use when user says '投资报告', '投资分析', ... or provides entrepreneur conversation records wanting investment evaluation」. This mirrors the anchor-5 example structure exactly; not a 4 because the 'when' clause is already fully explicit with concrete trigger phrases.

5 / 5

Trigger Term Quality

Trigger coverage is comprehensive and bilingual: 「投资报告」「投资分析」「分析这个项目」「写投资报告」, 'investment report', 'invest analysis', plus material-type triggers (meeting notes, pitch decks, founder interviews) — matching the anchor's standard of natural terms including synonyms. Not a 4 because no commonly used variation is obviously missing.

5 / 5

Distinctiveness Conflict Risk

The niche (investment evaluation reports with a specific framework) is distinct and most triggers are domain-specific, but 「分析这个项目」 and 「asks for analysis」 are broad enough that a user wanting a general project/product analysis could trigger this skill incorrectly. Mostly distinct with minor overlap risk against general analysis skills — anchor 4, not 5; not 3 because the core triggers clearly point at investment evaluation.

4 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
lijigang/ljg-skills
Reviewed

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