kanchi-dividend-review-monitor by tradermonty/claude-trading-skills
npx skills add https://github.com/tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor检测异常的股息风险信号,并将其路由至人工审查队列。将自动化视为异常检测,而非自动化交易执行。
当用户需要以下功能时,使用此技能:
OK/WARN/REVIEW 输出。提供遵循以下规范的标准化输入 JSON:
references/input-schema.md如果上游数据不可用,至少提供:
tickerinstrument_typedividend.latest_regulardividend.prior_regular广告位招租
在这里展示您的产品或服务
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切勿仅基于机器触发器自动卖出。必须首先创建 WARN 或 REVIEW 证据供人工确认。
OK: 无操作。WARN: 添加到下一个检查周期并暂停可选添加。REVIEW: 立即创建人工审查工单 + 暂停添加。关于触发阈值和操作,请使用 references/trigger-matrix.md。
在一个 JSON 文档中收集每个股票代码的字段:
关于字段定义和示例负载,请使用 references/input-schema.md。
运行:
python3 skills/kanchi-dividend-review-monitor/scripts/build_review_queue.py \
--input /path/to/monitor_input.json \
--output-dir reports/
该脚本根据 T1-T5 将每个股票代码映射到 OK/WARN/REVIEW。输出文件以带日期的文件名(例如 review_queue_20260227.json 和 .md)保存到指定目录。
如果多个触发器触发:
对于每个 REVIEW 状态的股票代码,包含:
输出格式请使用 references/review-ticket-template.md。
当实施实时 SEC 数据获取器时:
User-Agent 字符串(名称 + 邮箱)。始终返回:
REVIEW 工单列表。kanchi-dividend-sop 获取股票代码集合和基线假设。REVIEW 结果反馈给 kanchi-dividend-sop,用于重新承销和头寸规模审查。kanchi-dividend-us-tax-accounting 共享账户类型上下文。scripts/build_review_queue.py: 用于 T1-T5 的本地规则引擎。scripts/tests/test_build_review_queue.py: T1-T5 和报告渲染的单元测试。references/trigger-matrix.md: 触发器定义、频率和操作。references/input-schema.md: 标准化输入模式和示例 JSON。references/review-ticket-template.md: 标准化的人工审查工单布局。每周安装数
74
代码仓库
GitHub 星标数
394
首次出现
2026年2月23日
安全审计
安装于
cursor71
gemini-cli70
github-copilot70
amp70
codex70
kimi-cli70
Detect abnormal dividend-risk signals and route them into a human review queue. Treat automation as anomaly detection, not automated trade execution.
Use this skill when the user needs:
OK/WARN/REVIEW output before manual decision making.Provide normalized input JSON that follows:
references/input-schema.mdIf upstream data is unavailable, provide at least:
tickerinstrument_typedividend.latest_regulardividend.prior_regularNever auto-sell based only on machine triggers. Always create WARN or REVIEW evidence for human confirmation first.
OK: no action.WARN: add to next check cycle and pause optional adds.REVIEW: immediate human review ticket + pause adds.Use references/trigger-matrix.md for trigger thresholds and actions.
Collect per ticker fields in one JSON document:
Use references/input-schema.md for field definitions and sample payload.
Run:
python3 skills/kanchi-dividend-review-monitor/scripts/build_review_queue.py \
--input /path/to/monitor_input.json \
--output-dir reports/
The script maps each ticker to OK/WARN/REVIEW based on T1-T5. Output files are saved to the specified directory with dated filenames (e.g., review_queue_20260227.json and .md).
If multiple triggers fire:
For each REVIEW ticker, include:
Use references/review-ticket-template.md output format.
When implementing live SEC fetchers:
User-Agent string (name + email).Always return:
REVIEW tickets.kanchi-dividend-sop.REVIEW results back to kanchi-dividend-sop for re-underwriting and position-size review.kanchi-dividend-us-tax-accounting when risk events imply account relocation decisions.scripts/build_review_queue.py: local rule engine for T1-T5.scripts/tests/test_build_review_queue.py: unit tests for T1-T5 and report rendering.references/trigger-matrix.md: trigger definitions, cadence, and actions.references/input-schema.md: normalized input schema and sample JSON.references/review-ticket-template.md: standardized manual-review ticket layout.Weekly Installs
74
Repository
GitHub Stars
394
First Seen
Feb 23, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykWarn
Installed on
cursor71
gemini-cli70
github-copilot70
amp70
codex70
kimi-cli70
Skills CLI 使用指南:AI Agent 技能包管理器安装与管理教程
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