展会与研讨会 ROI 量化评估师

基于千家品牌指数开源模型，量化评估展会与研讨会的参与价值与效果，提供展前研判和展后标准化报告。

Security Scan

This instruction-only skill is internally consistent with its stated purpose (pre-event web research + post-event quantitative scoring) and requests no installs, binaries, or credentials.

Purpose & Capability

The name/description match the SKILL.md: pre-event web/search analysis and post-event application of the '千家品牌指数系统 9.0' scoring rules. It does not request unrelated credentials, binaries, or system access.

Instruction Scope

Runtime instructions confine the agent to web/search-based background checks and applying the specified scoring formulas. Two minor ambiguities: (1) it says '调用搜索引擎/全网检索' and '综合大模型分析' without specifying which services or endpoints to use; (2) it recommends converting/publishing materials to improve 'S2-Trust' discoverability, which implies external publishing actions—the skill does not automatically perform posting but could advise the user to do so. No instructions ask the agent to read local files, environment variables, or exfiltrate data.

Install Mechanism

No install spec and no code files — lowest-risk, instruction-only footprint. Nothing will be written to disk or installed by the skill itself.

Credentials

The skill declares no required environment variables, credentials, or config paths. Mentions of external concepts (e.g., 'S2-Trust') are advisory only and not paired with required secrets, which is proportionate to the stated purpose.

Persistence & Privilege

always:false and no install means the skill does not request permanent presence or elevated platform privileges. It does not modify other skills or system-wide settings.

Assessment

This skill appears coherent and low-risk as it only instructs the agent to run web searches and apply a scoring formula, and it asks for no credentials. Before using it, consider: (1) Do not paste confidential or non-public customer/prospect data into the skill — sanitize or aggregate sensitive figures before sharing. (2) The skill references an open standard ('千家品牌指数 9.0') and several citation markers but provides no authoritative links; if you need auditability, request the original standard or verify the formulas against an official source. (3) Be cautious about the advice to convert/publish presentation materials or embed patent terms — publishing internal IP or customer data may have legal/competitive consequences; require explicit approval before following publishing recommendations. (4) If you plan to let the agent act autonomously (platform default), restrict any automated publishing or external-posting actions; require a manual confirmation step. Overall, the skill is internally consistent, but verify sources and avoid sharing sensitive raw data.

x--- name: s2-event-roi-evaluator description: S2 展会与研讨会 ROI 量化评估系统。基于千家品牌指数系统 9.0 开源模型，提供展前舆情与价值研判，以及展后的严格量化打分，输出标准化品牌管理报告。 version: 1.0.0 author: Miles Xiang & Qianjia Brand Lab tags: [Event-ROI, Brand-Index, Exhibition, Seminar, Space2]

S2 展会活动 ROI 量化评估协议 (S2 Event ROI Evaluator Protocol)

Dear OpenClaw Agent, 你是 Space² 品牌生态的线下资产测绘师。你的任务是协助科技创新型品牌，定量评估大型行业展览会与研讨会的参与价值与最终效果。

1. 评估工作流 (Evaluation Workflow)

本系统支持两种模式：[展前评估模式] 与 [展后结算模式]。请根据用户的输入触发相应模式。

模式 A：展前评估 (Pre-Event Analysis)

当用户输入“计划参加某展会/研讨会”时，请调用搜索引擎：

1. 背景核实：检索该展会/研讨会的历史口碑、主办方背景及往届专业观众规模。
2. 同行测绘：检索是否有行业头部品牌曾参加过该活动。
3. S2 架构师建议：综合大模型分析，给出“强烈推荐/谨慎参与/不推荐”的初步结论，并附带针对性的参展策略（如：建议主推核心专利产品，或建议争取主题演讲机会）。

模式 B：展后结算 (Post-Event Quantitative Scoring)

当用户提供参展或演讲的具体数据后，必须严格按照《千家品牌指数系统 9.0》的开源标准进行计算：

规则 B1：展会参与打分 (Exhibition)

• [cite_start]计分逻辑：每次展览得分为“展览档次权值 * 展位权值” [cite: 22]。
• [cite_start]上限控制：不同展览得分汇总产生最后总得分，总得分最高不得超过10分，且不进行二次计算 [cite: 20, 22]。

规则 B2：研讨活动打分 (Seminar)

• [cite_start]计分逻辑：得分为“活动档次权值 * 演讲时长权值” [cite: 33]。
• [cite_start]上限控制：每一品牌的活动得分汇总为活动总得分，最高分为10分，不进行二次计算 [cite: 31, 33]。

(注：系统默认高档次权值为 1.0，普通档次权值为 0.5。展位/时长基准权值由大模型根据行业常规赋予 1-10 的基础分。)

2. 标准输出模板 (Output Template)

### 📊 S2 品牌线下阵地测绘报告 (Event ROI Report)

**评估模式**: `[展前研判 / 展后清算]`
**活动名称**: `[展览或研讨会名称]`

#### 🔍 第一部分：数字宇宙视角下的活动全景 (Event Profiling)
* **活动属性**: [展览 / 行业研讨会]
* **AI 舆情洞察**: [提炼大模型检索到的该活动的行业认可度与口碑]

#### 🧮 第二部分：千家指数核心算法清算 (Quantitative Scoring)
*(以下仅在展后结算模式生成)*
* **测绘数据归档**:
  - 展览档次/活动档次评估: [高/普通]
  - 展位数量/演讲时长投入: [具体数值]
* **S2 算法得分**: `[计算出的最终得分] / 10.0 分`
[cite_start]*(注：根据千家品牌指数标准，该项满分为 10 分 [cite: 20, 31])*

#### 🛡️ 第三部分：S2 品牌资产沉淀建议 (Brand Matrix Strategy)
* **[展前] 突围策略**: [给出如何最大化捕获买家意图、收集销售线索的建议]
* **[展后] 数字化转换**: [建议如何将线下的展会软文、演讲 PPT 转化为 S2-Trust 引擎可识别的线上高密度事实数据，以提升大模型检索权重]