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Reactive Pricing Engine

作者 Tang Weigang · GitHub ↗ · v0.3.3 · MIT-0
cross-platform ⚠ suspicious
107
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0
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0
当前安装
3
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在 OpenClaw 中安装
/install reactive-pricing-engine
功能描述
基于OTC衍生品组合的XVA估值与风险指标计算,支持CVA/DVA/FVA度量及敞口曲线生成;提供SIMM保证金敏感性分析,兼容多定价引擎配置。
安全使用建议
Do not enable this skill for autonomous runs yet. Key things to check before installing or running it: 1) Ask the publisher for the missing install spec and a clear dependency list (Python version, pip/uv packages, exact pip/conda packages) and a LICENSE.txt—the SKILL.md mentions these but the registry lacks them. 2) Confirm which external data providers will be used and what credentials are needed; never supply API keys until you understand minimal required scopes. 3) Review seed.yaml / host_adapter.install_recipes to see any install URLs or host-side scripts the skill will run; if those download archives or run arbitrary installers, treat as high risk. 4) Run first in an isolated/sandbox environment (VM/container) and with network access restricted, or only after code review. 5) If you need the functionality but want lower risk, request a pared-down instruction-only version that lists exact dependencies (no implicit host install recipes) or provide a vetted Docker image that contains the runtime. If you cannot obtain those assurances, consider this skill suspicious and avoid exposing credentials or allowing automatic installs.
功能分析
Type: OpenClaw Skill Name: reactive-pricing-engine Version: 0.3.3 The skill bundle is a comprehensive framework for financial analytics, specifically focusing on OTC derivative valuation (XVA/SIMM) and quantitative trading using the ZVT library. While there is a functional discrepancy between the ORE (Open Risk Engine) use cases and the ZVT-based trading constraints (e.g., SL-01, SL-10), the bundle contains no evidence of malicious intent, data exfiltration, or harmful prompt injection. The instructions in SKILL.md and seed.yaml are designed to enforce strict financial logic, such as T+1 trading rules and specific MACD parameters, rather than subverting the agent or host system.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
SKILL.md and the included files describe a full-featured XVA/pricing pipeline that expects Python 3.12+, the 'uv' package manager, and the zvt ecosystem (recorders, data providers). The registry metadata, however, lists no required binaries, no required env vars, and no install spec. That mismatch is incoherent: a quant/pricing engine legitimately needs Python and packages (and often credentials for paid data providers), so the skill's declared surface does not match what it actually requires.
Instruction Scope
The runtime instructions and seed.yaml instruct the agent to re-load seed.yaml, run precondition checks (e.g., python3 -c 'import zvt' and running zvt recorders), run precondition installation flows, and execute data recorders that fetch market data. These steps access local paths (ZVT_HOME), may run pip/install commands, and will trigger network activity to data providers. The skill does not declare these actions or the credentials they may need, and the instructions give broad discretion to run install/recorder commands—scope is broader than the registry indicates.
Install Mechanism
No install spec is present in the registry, but seed.yaml's execution_protocol explicitly requires executing resources.host_adapter.install_recipes[] and 'Verify each package with import check before proceeding'. That implies dynamic installs or host-side recipes will run, yet nothing is declared. This mismatch increases risk because host-side installation behavior is unspecified and could download/install packages at runtime.
Credentials
The skill references external data providers (eastmoney, joinquant, akshare, qmt) and commands that will access the filesystem and ZVT_HOME, but the registry declares no required environment variables or credentials. Paid providers (e.g., joinquant) typically require API keys/accounts. The absence of declared env vars or a primary credential is disproportionate to the described capabilities and hides what secrets the skill will need or attempt to use.
Persistence & Privilege
always:false and model invocation are normal. The skill does not request forced always-on presence. However seed.yaml prescribes a multi-step execution protocol (reloading seed.yaml before decisions, running host install recipes) which gives the skill substantial operational control when executed: it expects the host to run install recipes and preconditions. This is not an 'always:true' privilege, but it does give the skill a non-trivial runtime footprint on the host if allowed to execute installs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install reactive-pricing-engine
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /reactive-pricing-engine 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.3.3
v0.3.3: bilingual metadata injected. H1 shows XVA 定价引擎; tagline replaced with skill-specific Chinese hook; tags upgraded to Level 1-4.
v0.3.1
Remove install.sh — knowledge-only bundle. Host AI consumes directly from URL; no user-side installation needed. Fixes ClawHub suspicious flag.
v0.3.0
Doramagic crystal portfolio v0.3.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills
元数据
Slug reactive-pricing-engine
版本 0.3.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Reactive Pricing Engine 是什么?

基于OTC衍生品组合的XVA估值与风险指标计算,支持CVA/DVA/FVA度量及敞口曲线生成;提供SIMM保证金敏感性分析,兼容多定价引擎配置。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 107 次。

如何安装 Reactive Pricing Engine?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install reactive-pricing-engine」即可一键安装,无需额外配置。

Reactive Pricing Engine 是免费的吗?

是的,Reactive Pricing Engine 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Reactive Pricing Engine 支持哪些平台?

Reactive Pricing Engine 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Reactive Pricing Engine?

由 Tang Weigang(@tangweigang-jpg)开发并维护,当前版本 v0.3.3。

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