New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Fengliu Reverse Weakhand

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum…

MITAuto-check passed

Install Fengliu Reverse Weakhand

skills CLI
$ npx skills add questflowai/investorskills --skill fengliu-reverse-weakhand -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills fengliu-reverse-weakhand --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fengliu-reverse-weakhand .claude/skills/fengliu-reverse-weakhand && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fengliu-reverse-weakhand
GitHub stars
1.9k
Token cost
~477 tokens
SKILL.md length
192 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum…

  • Works in 4 steps: Identify where consensus is strongest… → Check if downside is already priced in… → Assess asymmetry: upside if wrong… → …
  • Evaluating stocks through Feng Lius weak-hand (弱者体系) reverse investing lens: assume you have less information
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fengliu Reverse Weakhand is an agent skill from questflowai/investorskills. Use when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum pessimism, and manage position by probability.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).

The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.

When your agent uses it

  • Evaluating stocks through Feng Lius weak-hand (弱者体系) reverse investing lens: assume you have less information
  • Seek asymmetric risk/reward
  • Buy at points of maximum pessimism
  • Manage position by probability

Example prompts

  • “/fengliu-reverse-weakhand”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify where consensus is strongest and potentially wrong.
  2. Check if downside is already priced in (跌不动).
  3. Assess asymmetry: upside if wrong consensus breaks vs cost if it doesn't.
  4. Size by probability, not by conviction. Add as evidence improves.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fengliu Reverse Weakhand loads about 477 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 192 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~477

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 192 words, ~477 tokens.

Download SKILL.mdSave it as .claude/skills/fengliu-reverse-weakhand/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
fengliu-reverse-weakhand
description
Use when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum pessimism, and manage position by probability.
invest
./invest.md

Feng Liu Reverse Weak-Hand

Use this skill to apply Feng Liu / 冯柳-style judgment.

When To Use

Use this skill when the user asks for:

  • 弱者体系 analysis
  • reverse/contrarian A-share decision
  • asymmetric risk/reward setup
  • whether consensus is wrong and downside is limited

Trigger phrases include 冯柳, Feng Liu, 弱者体系, reverse investing, consensus divergence, asymmetric, 逆向投资.

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 where consensus is strongest and potentially wrong.
  2. Check if downside is already priced in (跌不动).
  3. Assess asymmetry: upside if wrong consensus breaks vs cost if it doesn't.
  4. Size by probability, not by conviction. Add as evidence improves.

Output Format

md
# Feng Liu Reverse Weak-Hand View: [Subject]

## Verdict
Asymmetric Long / Watch / Consensus Still Right / Pass

## 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.

© questflowai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/fengliu-reverse-weakhand of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Fengliu Reverse Weakhand next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fengliu Reverse Weakhand compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fengliu Reverse Weakhand this skillquestflowai/investorskills1.9k—~477Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k2 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates32k13 repos~3.5kAutomated safety check: PassMIT
Protocol Reversezhaoxuya520/reverse-skill40k2 repos~620Automated safety check: WarnMIT
macOS Reversezhaoxuya520/reverse-skill40k2 repos~366Automated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT

Similar skills

  • Arize Evaluator

    github/awesome-copilot

    Official

    Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…

    40k GitHub starsUsed in 2 repos~8.1k tokens
    AI & LLM EngineeringAuto-check: notes

  • LLM Evaluation

    davila7/claude-code-templates

    Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.

    32k GitHub starsUsed in 13 repos~3.5k tokens
    AI & LLM EngineeringAuto-check passed

  • Protocol Reverse

    zhaoxuya520/reverse-skill

    A skill your agent uses for authorized reverse engineering of custom binary protocols, Protobuf/gRPC, WebSocket frames, and PCAP-driven protocol recovery.

    40k GitHub starsUsed in 2 repos~620 tokens
    Backend & APIsAuto-check: warnings

  • macOS Reverse

    zhaoxuya520/reverse-skill

    A skill your agent uses for authorized macOS and Mach-O reverse engineering including codesign, Objective-C/Swift recovery, endpoint security surfaces, and Apple platform malware analysis.

    40k GitHub starsUsed in 2 repos~366 tokens
    SecurityAuto-check passed

  • Agent Evaluation

    sickn33/agentic-awesome-skills

    Evaluate agent behavior with versioned cases and explicit verifiers.

    47k GitHub starsUsed in 1 repo~2k tokens
    Agent WorkflowsAuto-check passed

  • Protocol Reverse

    sickn33/agentic-awesome-skills

    Authorized reverse engineering of custom binary protocols, Protobuf/gRPC schemas, WebSocket frames, and PCAP-driven protocol recovery.

    47k GitHub starsUsed in 1 repo~689 tokens
    Backend & APIsAuto-check passed

More from questflowai/investorskills

All 63 skills in this repo

  • A16z Techno Optimist

    questflowai/investorskills

    A skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…

    1.9k GitHub stars~512 tokensUpdated 1 mo ago
    Auto-check passed

  • Ackman Concentrated Activism

    questflowai/investorskills

    A skill your agent uses when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.

    1.9k GitHub stars~491 tokensUpdated 1 mo ago
    Auto-check passed

  • Ansem Crypto

    questflowai/investorskills

    A skill your agent uses when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style…

    1.9k GitHub stars~793 tokensUpdated 1 mo ago
    Auto-check passed

  • Arthur Hayes Liquidity

    questflowai/investorskills

    A skill your agent uses when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.

    1.9k GitHub stars~449 tokensUpdated 1 mo ago
    Auto-check passed

  • Buffett

    questflowai/investorskills

    A skill your agent uses when evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.

    1.9k GitHub stars~617 tokensUpdated 1 mo ago
    Auto-check passed

  • Burry Asymmetric Contrarian

    questflowai/investorskills

    A skill your agent uses when evaluating Michael Burry-style contrarian, asymmetric, unpopular trades: deep mispricing, short theses, complex assets, forced consensus errors, and catalyst-driven…

    1.9k GitHub stars~495 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Fengliu Reverse Weakhand

What does Fengliu Reverse Weakhand do?

A skill your agent uses when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum…. Fengliu Reverse Weakhand is an agent skill from questflowai/investorskills. Use when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum pessimism, and manage position by probability.

When should I use Fengliu Reverse Weakhand?

Fengliu Reverse Weakhand fits situations like: evaluating stocks through Feng Lius weak-hand (弱者体系) reverse investing lens: assume you have less information; seek asymmetric risk/reward; buy at points of maximum pessimism; manage position by probability.

How do I install Fengliu Reverse Weakhand in Claude Code?

Run `npx skills add questflowai/investorskills --skill fengliu-reverse-weakhand -a claude-code`. Or copy the skill folder (skills/fengliu-reverse-weakhand in questflowai/investorskills) into .claude/skills/fengliu-reverse-weakhand in your project. Claude Code loads it when a task matches its description.

How do I install Fengliu Reverse Weakhand in Codex?

Run `npx skills add questflowai/investorskills --skill fengliu-reverse-weakhand -a codex`. Or copy the skill folder (skills/fengliu-reverse-weakhand in questflowai/investorskills) into .agents/skills/fengliu-reverse-weakhand in your project. Codex loads it when a task matches its description.

Can I use Fengliu Reverse Weakhand in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add questflowai/investorskills --skill fengliu-reverse-weakhand -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fengliu-reverse-weakhand, .gemini/skills/fengliu-reverse-weakhand, .github/skills/fengliu-reverse-weakhand and .opencode/skills/fengliu-reverse-weakhand in your project.

What does Fengliu Reverse Weakhand need to run?

SKILL.md names no scripts, command-line tools or credentials: Fengliu Reverse Weakhand is instructions for the agent only.

Does Fengliu Reverse Weakhand access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fengliu Reverse Weakhand safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fengliu Reverse Weakhand use?

Fengliu Reverse Weakhand is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fengliu Reverse Weakhand use?

About 477 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fengliu Reverse Weakhand?

Skills that share tags, products or a category with Fengliu Reverse Weakhand: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars), Protocol Reverse (zhaoxuya520/reverse-skill, 40k stars) and macOS Reverse (zhaoxuya520/reverse-skill, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fengliu Reverse Weakhand?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.

Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.