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TradingView Strategy Settings
by
Marius Wang
· GitHub ↗
· v1.0.0
645
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Install in OpenClaw
/install tv-strategy-settings
Description
Open and modify TradingView strategy settings on the current chart page. Use when: user wants to change strategy parameters, adjust inputs like stop-loss/tak...
Usage Guidance
This skill appears coherent, but remember it automates your browser and can change live trading strategy parameters: (1) Only install if you trust the agent and the BrowserTool's permissions to access your tabs. (2) Test on a non-live or demo chart first to ensure the mappings and UI selectors work with your TradingView language/settings. (3) Require explicit user confirmation for ambiguous parameter mappings before applying changes. (4) If you want to avoid autonomous changes, keep autonomous model invocation disabled or only invoke this skill manually. (5) The skill does not need any credentials; don’t provide API keys or account passwords to it.
Capability Analysis
Type: OpenClaw Skill
Name: tv-strategy-settings
Version: 1.0.0
The skill bundle is benign. It provides clear, task-focused instructions for an AI agent to modify TradingView strategy settings via browser automation. All `BrowserTool` actions are standard for web interaction (tabs, focus, snapshot, click, type, wait, screenshot). There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts designed to subvert the agent's purpose or harm the environment. The `SKILL.md` content is purely functional and aligned with the stated goal.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the skill only automates UI interactions on an open TradingView chart to change strategy inputs and properties. It does not request unrelated credentials, binaries, or system resources.
Instruction Scope
SKILL.md confines actions to browser automation (finding the TradingView tab, taking snapshots, clicking inputs, typing values, and verifying). It does not instruct reading local files, accessing other services, or transmitting data externally beyond interacting with the open page.
Install Mechanism
Instruction-only skill with no install spec or third-party downloads. Nothing will be written to disk by an installer from this package.
Credentials
No environment variables, credentials, or config paths are requested. The declared prerequisites (a managed browser session and access to BrowserTool) are appropriate for browser automation.
Persistence & Privilege
always:false and no indications of modifying other skills or global agent configuration. The skill requires only normal, explicit invocation and runs within the agent's BrowserTool capabilities.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tv-strategy-settings - After installation, invoke the skill by name or use
/tv-strategy-settings - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: browser automation for modifying TradingView strategy parameters. Supports natural language (zh/en) and exact parameter names.
Metadata
Frequently Asked Questions
What is TradingView Strategy Settings?
Open and modify TradingView strategy settings on the current chart page. Use when: user wants to change strategy parameters, adjust inputs like stop-loss/tak... It is an AI Agent Skill for Claude Code / OpenClaw, with 645 downloads so far.
How do I install TradingView Strategy Settings?
Run "/install tv-strategy-settings" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TradingView Strategy Settings free?
Yes, TradingView Strategy Settings is completely free (open-source). You can download, install and use it at no cost.
Which platforms does TradingView Strategy Settings support?
TradingView Strategy Settings is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created TradingView Strategy Settings?
It is built and maintained by Marius Wang (@mariuswang007); the current version is v1.0.0.
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