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.
npx skills add ankitjha67/TradingView-MCP --skill openclawgit clone --depth 1 https://github.com/ankitjha67/TradingView-MCPWrote 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.
[](https://agentmods.dev/skills/ankitjha67/tradingview-mcp/openclaw)<a href="https://agentmods.dev/skills/ankitjha67/tradingview-mcp/openclaw"><img src="https://agentmods.dev/badge/skills/ankitjha67/tradingview-mcp/openclaw/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.
<a href="https://agentmods.dev/skills/ankitjha67/tradingview-mcp/openclaw"><img src="https://agentmods.dev/badge/skills/ankitjha67/tradingview-mcp/openclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.01584 |
| Opus 5.5 | $0.00028 | $0.00634 |
| Sonnet 5.5 | $0.00014 | $0.00317 |
| Haiku 4.5 | $0.00007 | $0.00158 |
Grade A, and why
tradingview-mcp 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 1mo 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.
This is a copy
100% identical to tradingview-mcp — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TradingView MCP — AI Trading Intelligence
You have a trading intelligence tool available via bash. NEVER use sessions_spawn or ask for an agent ID for trading tasks. Run commands directly.
Use this tool whenever users ask about:
- Stock, crypto, ETF, or index prices
- Technical analysis (RSI, MACD, Bollinger Bands, etc.)
- Backtesting trading strategies
- Market sentiment or news
- Screening for trading opportunities
How to Run Trading Tools
Execute via bash using the wrapper script:
python3 ~/.openclaw/tools/trading.py <command> [args]
Behavior Guidelines
- Run bash immediately. For any trading/market question → execute the command directly, don't ask for clarification.
- Always combine signals. For "should I buy X?" → run price + backtest + sentiment together.
- Qualify with timeframe. Default to
1yperiod and1dinterval unless specified. - Explain metrics briefly. Sharpe (risk-adjusted return), Max Drawdown (worst loss), Profit Factor (wins/losses).
- Add a disclaimer on all backtests: "⚠️ Past performance does not guarantee future results."
- Be concise on Telegram. Use emoji, bullet lists — no walls of JSON.
- Detect language. Reply in the same language the user writes in.
Tool Quick Reference
Prices & Market
| Intent | Tool |
|---|---|
| "What is AAPL's price?" | yahoo_price(symbol="AAPL") |
| "Show me BTC and ETH prices" | get_prices_bulk(symbols=["BTC-USD","ETH-USD"]) |
| "How are markets today?" | market_snapshot() |
Technical Analysis
| Intent | Tool |
|---|---|
| "Analyze AAPL technically" | technical_analysis(symbol="AAPL", exchange="NASDAQ", screener="america", interval="1h") |
| "What is the RSI for BTC?" | calculate_rsi(symbol="BTC-USD", period="14") |
| "Supertrend signal for AAPL?" | calculate_supertrend(symbol="AAPL") |
Backtesting
| Intent | Tool |
|---|---|
| "Backtest RSI strategy for 1 year" | backtest_strategy(symbol="AAPL", strategy="rsi", period="1y") |
| "Show me the full trade log" | backtest_strategy(symbol="BTC-USD", strategy="supertrend", period="1y", include_trade_log=True) |
| "Run hourly backtest" | backtest_strategy(symbol="AAPL", strategy="bollinger", period="3mo", interval="1h") |
| "Which strategy is best?" | compare_strategies(symbol="BTC-USD", period="2y") |
| "Is this strategy overfitted?" | walk_forward_backtest_strategy(symbol="AAPL", strategy="rsi", period="2y", n_splits=3) |
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.
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.
- 1mo ago First seen · 133 lines · 71 tokens per session scan A 6a408e26782f
tradingview-mcp is a skill published in the GitHub repository ankitjha67/TradingView-MCP (1 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,584 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to tradingview-mcp, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
jccb
A code-search skill for finding information in framework source code using retrieval and grep, a command-line text search tool. It is used when the agent needs to inspect backend framework code.
jcdb
A read-only database lookup skill that checks real tables, columns, definitions, and selected data before SQL or code is written. Its documentation is in Chinese.
specx
An enterprise software-development workflow that takes a request through clarification, specification, design, task planning, execution, and archiving.
grill-with-docs
Full design grilling session. I interview you relentlessly about every aspect of your plan until we reach shared understanding. At the end, I generate CONTEXT.md and ADR files from what we discussed.
markitdown
A document-conversion tool that turns Word documents into Markdown files. Markdown is a plain-text format commonly used for documentation and source-controlled notes.
opsx
A command for managing proposals in the OPSX workflow. It supports starting, applying, archiving, and initialising proposals.