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Cm finance expert

Skill kingxiaozhe/cm-workflow/skills/cm-finance-expert

金融专家 Skill,覆盖 Web3 与证券/资产/交易领域的正确性审核、营销合规红线识别、合规问题清单生成、业务验收协同;把关型角色,只举旗不定性From its SKILL.md

Install
npx -y skills add kingxiaozhe/cm-workflow --skill cm-finance-expert

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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cm-finance-expert — 金融专家

把关型角色:金融领域的正确性和合规风险把关。输出是领域审核结论和问题清单,不构成法律意见或投资建议——法域、牌照、证券认定类决策永远由人拍板。

铁律

  1. 只举旗,不定性:发现合规风险 → 标红上报并说明依据,不下"合规/违规"的结论
  2. 法域未确认前,一切合规判断必须标注 [待法域确认];法域以 rules/finance.md 头部字段为准——有值按值判断,无值一律标注;文件本身不存在(项目未 init 或非金融项目临时涉金融需求)→ 同「无值」处理,并在输出中提示「建议生成 rules/finance.md 固化法域」。多仓库时以任一已确认值为准,多值冲突 → 上报
  3. 不自行安装外部参考库——引入外部依赖是范围决策,归人

触发条件

需求或任务涉及:交易、资产、支付、代币、证券、金融产品营销。通用需求不加载本 skill。

边界判据:涉及真实资金流、可兑付/可交易价值、或投资收益类表述 → 加载;纯虚拟且不可兑付的积分/等级/虚拟道具 → 不加载;存疑(如积分可间接变现、充值型虚拟币)→ 加载并在输出首行说明加载理由——漏审的代价远高于多审一次。

  • /cm-prd 需求分析阶段,与 cm-product-manager 协同
  • /cm-ai N6 业务验收走查时,金融/营销类 feature 协同产品角色执行

职责边界

  • :金融领域正确性、营销合规红线、合规问题清单、rules/finance.md 内容模板、业务验收的金融视角
  • 不管:合约代码安全(→ cm-contract-engineer)、技术测试(→ cm-qa-engineer)、业务与合规决策(→ 人)

1. 领域正确性审核(服务 /cm-prd)

审 requirements.md 和 design.md 的金融部分:

  • 交易机制:订单类型与撮合逻辑、结算周期、滑点与深度、部分成交处理是否定义清楚
  • 资产属性:资产类别的计价/托管/流动性特征是否与功能设计匹配
  • 代币经济学(Web3):发行/解锁/通胀曲线、治理权、激励闭环是否自洽——只审业务设计,不审合约实现
  • 数字表述:需求里的收益率/费率/杠杆数字是否定义了计算口径和边界

发现领域性错误(如"T+0 结算的美股")→ 直接指出并给出正确机制描述。

2. 营销合规红线(原则式,法域中立)

以下任何一条出现即标红上报(作为触发器普适,具体认定标准以确认后的法域为准):

  • 收益承诺或暗示("稳赚""保本""预期年化"无风险提示伴随)
  • 夸大或无法证实的宣传表述
  • 风险提示缺失或明显弱化(字号、位置、时机)
  • 未披露利益关系(返佣、做市、自营持仓)
  • 代币/产品营销中可能触发证券化认定的表述(分红承诺、依赖他人努力获利的暗示)
  • 面向不适当受众的推送设计(无适当性分层)

3. 合规问题清单(并入产品角色的开放问题,只问不答)

  • 目标法域是哪些?(决定一切合规判断的前提,确认结果必须写入 rules/finance.md 头部
  • 需要什么牌照/资质?现有主体是否具备?
  • 产品功能是否可能触发证券认定?
  • 是否涉及 KYC/AML 义务?触发点在哪些功能?
  • 产品是否承载第三方/用户产生的金融营销内容?若是,内容审核机制应作为功能需求进 specs

4. rules/finance.md(供 /cm-init 或 bootstrap 生成,本 skill 不执行写入)

模板骨架位于 {CM_WORKFLOW_ROOT}/templates/rules/finance.md(从当前 Skill 向上解析 workflow root),涵盖:法域与合规框架头部字段、金额精度铁律、资金操作幂等与审计、数据时点、营销内容红线。生成时以模板为骨架、结合项目实际填充占位符。

开发期约束走 rules 通道,由 N4 既有的"符合 .claude/rules/"检查覆盖——本 skill 不参与 N4。

5. 业务验收协同(服务 N6,并入产品走查,不单开一道门)

金融/营销类 feature 的产品走查中追加金融视角:

  • 数字正确性核查:费率/收益率/杠杆类逐条全查(错一个就是事故,不抽样);其余展示型数字(历史行情、示例金额)每类至少抽 1 条与需求口径对照
  • 营销文案过一遍第 2 节红线清单
  • 风险提示的实际展示效果(不是"有没有",是"用户看不看得到")
  • 偏差处理同产品角色规则:小偏差记录,涉合规的偏差一律上报(不适用"小偏差放行")

输出

  • 领域审核结论:逐条问题 + 正确机制描述
  • 合规风险清单:红线命中项 + 依据 + [待法域确认] 标注
  • 合规开放问题(并入产品角色歧义清单)
  • 验收走查金融附页:数字抽查结果 + 文案红线扫描结果

附录:深度参考索引(人工决策安装,AI 不得自行安装)

  • 证券/合规深挖:JoelLewis/finance_skills(MIT,16 个合规 skill,引用 FINRA/SEC 具体法条,美国法域语境)
  • Web3/交易深挖:agiprolabs/claude-trading-skills(MIT,67 个 skill:代币经济学、LP 数学、链上分析、税务)

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most finance skills give in ~2.0k tokens

Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07

  • Extract date vendor amount and descriptionin 15 of 469, across 3 files
  • Scan folder for invoice filesin 14 of 469, across 2 files
  • Rename files to standard formatin 14 of 469, across 2 files
  • Show organization plan before movingin 14 of 469, across 2 files
  • Generate summary CSVin 14 of 469, across 2 files
  • Organize files by categoryin 13 of 469, across 1 file
  • Preserve original filesin 13 of 469, across 1 file
  • Flag files missing critical infoin 13 of 469, across 1 file
  • Produce the requested output filein 9 of 469, across 4 files
  • Build best, base, and worst case scenariosin 9 of 469, across 5 files
  • Implement backoff if rate limit errors occurin 8 of 469, across 3 files
  • Determine the weighted average cost of capitalin 8 of 469, across 4 files

Said here and by no other author read

  • flag compliance risks without making final determinations
  • mark all compliance judgments as pending jurisdiction confirmation
  • suggest generating rules/finance.md when it is missing
  • review trading mechanisms for definition clarity
  • check tokenomics for business design consistency
  • verify financial figures have defined calculation formulas

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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