Filter candidate trades with dividend-risk and hedge-fund-positioning checks.
npx skills add https://github.com/Eveyz/agentskills --skill risk-filter-layer
Please help me install this Agent Skill. Skill: risk-filter-layer Source: https://github.com/Eveyz/agentskills/tree/main/risk-filter-layer Command: npx skills add https://github.com/Eveyz/agentskills --skill risk-filter-layer
Removes fragile names and sharpens investable ideas by combining dividend-trap detection with hedge-fund positioning analysis, helping teams convert raw ideas into a cleaner, investable list.
Provide a filtered, investable candidate list by applying dividend-risk and hedge-fund-positioning to the input set.
High-intent search queries and answers about installing and using this skill.
Filter weak investment ideas by applying dividend-risk checks to reject fragile names with weak cash-flow coverage, flagging them as dividend traps before portfolio construction. This removes low-quality candidates from your raw idea list.
Hedge-fund positioning analysis confirms or challenges your trade thesis by amplifying smart-money signals across candidate trades. It checks institutional positioning to help surface high-conviction ideas and reject those lacking smart-money support.
Apply a risk filter by feeding raw candidate trades into a screening layer that runs dividend-risk and hedge-fund-positioning checks. The process outputs pass, watch, or reject decisions alongside a notes summary to refine the investable list.
Investment screening can still run without smart-money signal data, but it will report missing modules. The filter outputs a missing_modules flag to indicate that hedge-fund-positioning analysis is unavailable for the current candidate set.
The best way to generate pass, watch, and reject decisions is by layering dividend-risk checks and hedge-fund-positioning analysis over your candidates. This produces structured outputs including approved_candidates, rejected_candidates, and risk_flags.
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