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enterprise-future-planning-advisor

基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese Markdown report saved under the current project's markdown directory.

72

Quality

89%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%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.

The content is well-structured and appropriately split across reference files, with a clear sequenced workflow and actionable output requirements. It would benefit from slightly tighter prose and more explicit validation feedback loops in the workflow steps.

Suggestions

Tighten the Goal section: remove the 'Do not write generic consulting slogans' restatement and keep only the constructive directive to reduce token overhead.

Add an explicit validation loop after step 1 (e.g., 'before proceeding, confirm each major claim is labeled fact/inference/assumption; if any changeable claim lacks a source, re-search or mark unverified').

In step 5, give the exact mkdir/save commands or a one-line shell snippet so the save step is copy-paste executable rather than descriptive.

DimensionReasoningScore

Conciseness

The body is mostly directive and efficient, listing concrete workflow steps without padding, though a few sentences restate obvious consulting principles that could be trimmed.

4 / 5

Actionability

Provides concrete guidance — specific filename pattern, directory creation, and a detailed output checklist — with only minor gaps; being instruction-only, the absence of executable code is acceptable.

4 / 5

Workflow Clarity

A clear five-step sequence with implicit validation checkpoints (record fact/inference/assumption, mark unverified sections, search before asking up to 5 questions), though the feedback loops are not as explicit as a validate→fix→retry pattern.

4 / 5

Progressive Disclosure

SKILL.md is a concise overview that points to three real one-level-deep reference files (enterprise-profile-framework.md, evidence-standards.md, report-template.md), each clearly signaled with 'read references/...'.

5 / 5

Total

17

/

20

Passed

Description

100%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.

The description is exemplary: it states concrete capabilities, provides a rich set of natural Chinese trigger terms, explicitly covers both what and when, and occupies a clear niche with low conflict risk. It does not pad with vague language or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — searching public sources and generating an enterprise profile, future plan, and recommendation report — covering the domain comprehensively.

5 / 5

Completeness

Explicitly answers both 'what' (search public sources and generate enterprise profile, future plan, and recommendation report) and 'when' (a 'Use when...' clause with concrete triggers and output destination).

5 / 5

Trigger Term Quality

Comprehensive natural Chinese trigger phrases users would actually say (企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案) with good synonym coverage.

5 / 5

Distinctiveness Conflict Risk

Clear niche — source-backed Chinese enterprise planning reports — with distinct triggers and a specified output location, making conflict with other skills minimal.

5 / 5

Total

20

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
digoal/blog
Reviewed

Table of Contents

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