How do I install the Decompose Return And Hedge skill?

Run npx skillmds@latest add secapi-ai/decompose-return-and-hedge in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Decompose Return And Hedge skill do?

Explains a security return over a stated window and evaluates hedge candidates as exposure trade-offs. Use when you need to separate model attribution from a hedge decision. It is listed under AI & ML on SkillMD.

Is Decompose Return And Hedge safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Decompose Return And Hedge?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Decompose Return And Hedge free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Decompose Return And Hedge?

secapi-ai (@secapi-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Decompose Return And Hedge by secapi-ai

Name: Decompose Return And Hedge
Author: secapi-ai

File contents

Decompose Return and Hedge

Explain a return before discussing a hedge. Set the date window, report what the factor model explains, and keep issuer evidence separate from attribution output.

First Read

curl --fail --silent --show-error \
  "https://api.secapi.ai/v1/factors/decomposition?symbol=AAPL&lookback=6m" \
  -H "x-api-key: $SECAPI_API_KEY"

symbol is required. The API also supports optional factors, keys, category, window, lookback, response_mode, and include controls.

What to provide

Give the agent a symbol, a precise date window or lookback, and the exposure question behind the hedge discussion. The skill evaluates trade-offs; it does not select a trade for the user.

Research path

Run GET /v1/factors/decomposition for the stated symbol and window.
Use GET /v1/stocks/{ticker}/loadings to inspect reported position loadings.
Use GET /v1/factors/exposures or GET /v1/factors/correlations only when they clarify concentration or hedge overlap.
Bring in filing or company context through the routes declared in metadata.json, and cite it independently from the attribution model.

Expected result

State the exact window, the model's explained and unexplained components, and any returned fit limitation. Present candidates as changes in exposures, concentration, and residual risk, not recommendations or guarantees. Distinguish factor attribution from filing facts, news, and causal explanation.

Frequently asked questions

Decompose Return And Hedge