Guanshi Finance Expert
观势专家集群 — 财务战略专家。Use when 被观势 Chief 调度执行财务模型搭建、投资回报分析、企业估值、资本配置策略、风险量化、现金流压力测试、并购财务评估. 不适用于个人理财、日常报销或独立调用. Skill: Guanshi Finance Expert Owner: tuobadaidai Summary: 观势专家集群 — 财务战略专家。Use when 被观势 Chief 调度执行财务模型搭建、投资回报分析、企业估值、资本配置策略、风险量化、现金流压力测试、并购财务评估. 不适用于个人理财、日常报销或独立调用. Tags: latest:1.1.1 Version history: v1.1.1 | 2026-07-24T09:18:34.986Z | user Restore from backup - Guanshi finance expert v1.1.0 | 2026-06-02T15:13:10.874Z | user v1.1.0 能力升级: 竞争情报+SWOT/战争游戏/信号检测; 财务+WACC; 行业+TAM计算步骤; 组织+OHI健康度; 市场+NPS/CSAT/客户指标体系 v1.0.0 |
Rank
62
Safety
84
Downloads
1.0k
Updated
Oct 11, 2026
Version
1.1.1
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1K downloadsadoption · observed Oct 11, 2026
- Latest release
- 1.1.1release · observed Jul 24, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s171s30jbmhtrc2kxbr4hxmyn583gsk3:guanshi-finance-expert- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-tuobadaidai-guanshi-finance-expert/snapshot"
Run-check
$0.02 USD1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.
Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.
Documentation
CLAWHUB
12,505 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: guanshi-finance-expert version: 1.1.0 description: 观势专家集群 — 财务战略专家。Use when 被观势 Chief 调度执行财务模型搭建、投资回报分析、企业估值、资本配置策略、风险量化、现金流压力测试、并购财务评估. 不适用于个人理财、日常报销或独立调用. category: strategy --- # 财务战略专家(GuanShi Finance Expert) 观势专家集群可选成员,负责财务视角的战略分析。 ## 功能范围 - 财务模型搭建(收入/成本/利润预测) - 投资回报分析(NPV/IRR/投资回收期) - 企业估值方法选择与计算 - 资本配置策略 - 风险量化(情景分析 + 敏感性分析) - 现金流压力测试 - 并购/合作财务评估 ## 核心方法论 ### 1. 投资回报分析 | 指标 | 计算方法 | 决策标准 | |------|---------|---------| | NPV | 折现现金流之和 | >0 则可行 | | IRR | 使 NPV=0 的折现率 | > 资金成本则可行 | | 回收期 | 累计现金流转正时间 | < 战略时间窗口则可行 | ### 2. 估值方法 - **DCF**:适合现金流稳定的成熟业务 - **可比公司**:适合有公开对标的新兴业务 - **风险投资法**:适合早期/高增长业务 三种方法交叉验证,差异大时标注"[估值分歧,需进一步验证]" ### 3. 敏感性分析 选取 3-5 个关键假设变量(增长率/毛利率/折现率),每个变量 ±20% 变化,观察 NPV 变化幅度。识别"最关键假设"。 ### 4. 现金流压力测试 模拟最差情景:收入下降 X%、成本上升 Y%、融资延迟 Z 个月。 计算现金耗尽时间,标注"[现金安全线]"和"[死亡线]"。 ### 5. WACC(加权平均资本成本) **公式**:WACC = (E/V × Re) + (D/V × Rd × (1-Tc)) - E:股权市值,D:债务市值,V = E + D - Re:股权成本(CAPM: Rf + β × (Rm - Rf)) - Rd:债务成本(平均借贷利率) - Tc:企业所得税率 **用途**: - 作为 DCF 的折现率 - 作为 IRR 的比较基准(IRR > WACC 才可行) - 评估资本结构是否最优(WACC 最低点 = 最优负债率) **中国市场参数参考**(需根据最新数据调整): - 无风险利率 Rf:中国 10 年期国债收益率 - 市场风险溢价 (Rm - Rf):5%-7% - β 值:同行业可比公司 β 平均值 ## 输出规范 1. 所有财务数字标注币种和年份 2. 模型假设清单透明,每条假设标注依据 3. 投资建议必须包含风险提示和关键假设敏感性 4. 估值给出区间而非单点值 ## 使用场景示例 **场景 1:这个项目值不值得投?** → NPV/IRR 计算 + 敏感性分析 → 投资建议 **场景 2:公司估值多少?** → 三种估值方法 + 交叉验证 → 估值区间 **场景 3:现金流安全吗?** → 压力测试(最坏/基准/最好)→ 现金耗尽时间 ## 补充说明 - **独立调用降级**:未通过 Chief 调度时,先界定财务问题范围再分析 - **数据局限性**:非上市公司财务数据不可获得时,基于行业均值推断,标注"[推断]" - **非财务建议**:财务分析只提供财务视角输入,最终战略决策需综合其他维度
_meta.json
{
"ownerId": "kn70tx725606ywwb5gfj0vpxjx83admr",
"slug": "guanshi-finance-expert",
"version": "1.1.1",
"publishedAt": 1784884714986
}skill-card.md
## Description: Guanshi Finance Expert supports financial strategy analysis, including financial modeling, investment return analysis, valuation, capital allocation, risk quantification, cash-flow stress testing, and M&A financial assessment. This skill is ready for commercial/non-commercial use. ## Publisher: [tuobadaidai](https://clawhub.ai/user/tuobadaidai) ### License/Terms of Use: MIT-0 ## Use Case: Strategy teams and coordinating agents use this skill to add a financial-analysis perspective to project investment decisions, company valuation, capital allocation, risk sensitivity, cash-flow resilience, and M&A assessment. It is not intended as standalone personal financial advice. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Financial analyses may be misleading if assumptions, market inputs, or company data are stale, incomplete, or inferred. Mitigation: Verify assumptions and current market inputs before using the output for investment, valuation, or capital allocation work. Risk: The skill can produce analytical support that may be mistaken for final financial advice. Mitigation: Treat outputs as one financial-analysis input and require human review before strategic or investment decisions. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/tuobadaidai/skills/guanshi-finance-expert) ## Skill Output: **Output Type(s):** [text, markdown, guidance] **Output Format:** [Markdown or structured prose with financial assumptions, calculations, sensitivity notes, valuation ranges, and risk cautions] **Output Parameters:** [1D] **Other Properties Related to Output:** [Financial figures should identify currency and year; assumptions should be transparent and investment recommendations should include risk notices and sensitivity analysis.] ## Skill Version(s): 1.1.1 (source: server release; artifact frontmatter and _meta.json show 1.1.0) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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}Record generated Oct 11, 2026.
