← Back to Skills Marketplace
haohanyang92

a-stock-profit-taking

by haohanyang92 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
256
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install profit-taking-strategy
Description
用分批止盈锁定利润,不追求卖在最高点。用于A股卖股策略。
Usage Guidance
This skill is a benign, text-only set of trading heuristics — not code that will place trades. Before using it in live trading: 1) treat it as educational, not financial advice; backtest the rules on historical data and run in paper trading first; 2) do NOT grant any trading account credentials or broker API keys to an agent that uses this skill unless you explicitly trust and audit that integration — if you combine this skill with a separate broker-integration skill, require explicit manual confirmation for any trade; 3) validate compliance with local rules and taxes for A‑share trading; 4) note the skill has no provenance/homepage — if you need accountability, ask the publisher for source or references. Overall: safe to read/use as a guideline, but exercise standard caution before automating trades.
Capability Analysis
Type: OpenClaw Skill Name: profit-taking-strategy Version: 1.0.0 The skill bundle provides a structured profit-taking strategy for A-share stock trading. It contains only informational instructions in SKILL.md regarding batch selling rules and lacks any executable code, network requests, or data exfiltration risks.
Capability Assessment
Purpose & Capability
The name/description match the SKILL.md content: a simple multi-step profit-taking rule for A‑share sell decisions. There are no unrelated env vars, binaries, or config paths requested.
Instruction Scope
The SKILL.md contains only high-level trading rules and example scenarios (when to sell, percentages). It does not instruct the agent to read files, call external APIs, or execute trades automatically. Note: the guidance is intentionally general and leaves room for agent discretion.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk and no third-party packages are pulled.
Credentials
No environment variables, credentials, or config paths are requested; the requested surface is proportionate to a textual trading-strategy skill.
Persistence & Privilege
Skill is not marked always:true and uses default invocation behavior. It does not request elevated or persistent system privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install profit-taking-strategy
  3. After installation, invoke the skill by name or use /profit-taking-strategy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the profit-taking-strategy skill for the A股市场. - Introduces a tiered selling strategy: sell 50% at 10% profit, 30% at 20% profit, and keep 20% to follow the trend. - Provides practical rules and example scenarios for incremental profit-locking. - Emphasizes not aiming for the absolute peak, favoring disciplined selling and risk management. - Outlines clear triggers and user questions the strategy addresses, such as when and how much to sell.
Metadata
Slug profit-taking-strategy
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is a-stock-profit-taking?

用分批止盈锁定利润,不追求卖在最高点。用于A股卖股策略。 It is an AI Agent Skill for Claude Code / OpenClaw, with 256 downloads so far.

How do I install a-stock-profit-taking?

Run "/install profit-taking-strategy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is a-stock-profit-taking free?

Yes, a-stock-profit-taking is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does a-stock-profit-taking support?

a-stock-profit-taking is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created a-stock-profit-taking?

It is built and maintained by haohanyang92 (@haohanyang92); the current version is v1.0.0.

💬 Comments