libei-macro-hedge

libei-macro-hedge is a skill for Claude Code, Codex from questflowai/investorskills. It costs 41 tokens per session (407 once invoked), scanned A, original, MIT.

A framework for evaluating markets using a macro-hedging approach: identify the economic regime, compare it with price trends, adjust position size, and control risk.

In plain words
What is it for?
Use it to assess Chinese markets or other assets, decide whether to add, reduce, hedge, or stand aside, and set conviction-based exposure.
Why use it?
It provides a structured way to make investment decisions when growth, inflation, policy, liquidity, and sentiment point in different directions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess Chinese markets or other assets, decide whether to add, reduce, hedge, or stand aside, and set conviction-based exposure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/questflowai/investorskills/libei-macro-hedge
About the project

Investor Skills is an open-source library that organizes investing judgment—such as evaluating opportunities, managing risk, and acting under uncertainty—into structured, reusable instructions for people and AI finance agents. It is designed for studying and applying investment approaches, including inside Questflow and other agent tools. The catalogue includes portable skill packages from the library.

questflowai/investorskills · 1,845 stars · on GitHub · questflow.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add questflowai/investorskills --skill libei-macro-hedge
Clone the repo
git clone --depth 1 https://github.com/questflowai/investorskills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for libei-macro-hedge

README.md
[![agentmods](https://agentmods.dev/badge/skills/questflowai/investorskills/libei-macro-hedge/github.svg)](https://agentmods.dev/skills/questflowai/investorskills/libei-macro-hedge)
Your own site
<a href="https://agentmods.dev/skills/questflowai/investorskills/libei-macro-hedge"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/libei-macro-hedge/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for libei-macro-hedge

Your own site · 80×15
<a href="https://agentmods.dev/skills/questflowai/investorskills/libei-macro-hedge"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/libei-macro-hedge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 407 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00407
Opus 5 $0.00020 $0.00204
Sonnet 5 $0.00008 $0.00081
Haiku 4.5 $0.00004 $0.00041

Measured 11d ago against content hash 0d516bdda205, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

libei-macro-hedge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/libei-macro-hedge/SKILL.md · 74 lines

What it actually says

Li Bei Macro Hedge

Use this skill to apply Li Bei / 李蓓-style judgment.

When To Use

Use this skill when the user asks for:

  • macro hedge A-share analysis
  • regime identification for Chinese markets
  • Li Bei-style macro timing
  • position management by conviction

Trigger phrases include 李蓓, Li Bei, 半夏投资, macro hedge A股, regime identification, conviction sizing.

Do Not Use When

  • Another skill fits better.
  • Critical data for this model is missing.
  • The user wants guaranteed returns or unbounded leverage.
  • The request is generic chatter with no decision.

Inputs Needed

  • Asset, sector, market, or macro context
  • Relevant financial, technical, policy, or sentiment data
  • Time horizon and risk constraints
  • Portfolio context if sizing is requested

Process

  1. Identify the macro regime (growth, inflation, policy, liquidity).
  2. Check if price/trend confirms the macro view.
  3. Size by conviction: large when clear, small when uncertain.
  4. Cut aggressively when the macro thesis is wrong.

Output Format

# Li Bei Macro Hedge View: [Subject]

## Verdict
High Conviction / Probe / Reduce / Hedge / Stand Aside

## Thesis

## Evidence

## Risks

## Action Plan

## Invalidation

## Missing Data

Guardrails

  • Follow the skill process; do not free-style.
  • Separate facts, assumptions, and judgment.
  • Define invalidation before sizing.
  • Not financial advice.

Questflow Use

Use as a judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 74 lines · 41 tokens per session scan A 0d516bdda205

Subscribe to this mod's changes

libei-macro-hedge is a skill published in the GitHub repository questflowai/investorskills (1,845 stars, last pushed 18d ago), licensed MIT. It adds 41 tokens to every session and 407 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

t-invest

A command-line connection to a user’s T-Invest brokerage account, providing portfolio data, market information, calculations, and explicitly requested trades.

nyxandro/t-invest-skill · 147 tokens

serenity-chokepoint-investing

Analyze public equities and sectors using the Serenity-style AI supply-chain chokepoint investing framework. Best for AI infrastructure, semiconductors, optical communications, data center power, storage, cooling, robotics, and industrial supply-chain bottleneck research.

leospark/serenity-chokepoint-investing-skills · 57 tokens

thai-personal-finance-planner

Personal financial planner for Thailand-based users. Use this skill when the user asks for help with budgeting, tax planning involving Thai-specific products (SSF, RMF, Thai ESG, Thai ESGX, Easy E-Receipt), debt strategy at Thai bank rates, retirement planning involving ประกันสังคม (มาตรา 33/39/40), กบข., PVD…

satasuk03/thai-personal-finance-planner · 214 tokens

stock-liquidity

Analyze stock liquidity using bid-ask spreads, volume profiles, order book depth, market impact estimates, and turnover ratios via Yahoo Finance data. Use this skill whenever the user asks about liquidity, trading costs, bid-ask spread, market depth, volume analysis, slippage, market impact, turnover ratio, or how…

himself65/finance-skills · 188 tokens

company-valuation

Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA"…

himself65/finance-skills · 234 tokens

fintel-data

Query Fintel (fintel.io) institutional market intelligence via the REST API at https://api.fintel.io/v1 with FINTELAPIKEY (X-API-KEY header), or the official MCP server at https://mcp.fintel.io/mcp. Read-only data: short interest, borrow rate/fee and shares available to borrow, daily short volume, fails-to-deliver…

himself65/finance-skills · 234 tokens