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prediction-market-risk-review

Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-prediction-market-risk-review-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name prediction-market-risk-review description Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning. metadata {"origin":"ECC"} Prediction Market Risk Review Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools. Review Gates Advice Boundary Confirm the output is informational. Remove buy/sell/hold/size recommendations. Keep manual user decision points explicit. Venue And Regulatory Boundary Identify venue terms, geography restrictions, account limits, and API rules. Flag betting, derivatives, securities, or commodities ambiguity for legal review when relevant. Do not bypass venue restrictions or rate limits. Data Quality Check market liquidity, spread, resolution rules, stale prices, and source timestamps. Separate public venue data from Itô gated data. Do not mix public and private sources without labels. Security Do not request or store private keys, seed phrases, or passwords. Keep ITO_API_KEY and venue API keys out of logs and docs. Use read-only scopes by default. Require circuit breakers, spend limits, dry runs, and human approval before any private implementation adds execution. Privacy Minimize user portfolio, financial, and knowledge-base data. Redact private sources in public artifacts. Preserve only the fields needed for the review. Output Contract Return: scope reviewed pass/warn/fail findings blocked actions required mitigations safe next step If any execution-capable step is requested, require a separate implementation plan and explicit user approval.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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