Borrowing it
Nothing to install: this file belongs to fiale-plus/tradingview-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fiale-plus/tradingview-mcp-server/main/.claude/commands/run-screener.mdgit clone --depth 1 https://github.com/fiale-plus/tradingview-mcp-serverWrote 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/commands/fiale-plus/tradingview-mcp-server/run-screener)<a href="https://agentmods.dev/commands/fiale-plus/tradingview-mcp-server/run-screener"><img src="https://agentmods.dev/badge/commands/fiale-plus/tradingview-mcp-server/run-screener/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/commands/fiale-plus/tradingview-mcp-server/run-screener"><img src="https://agentmods.dev/badge/commands/fiale-plus/tradingview-mcp-server/run-screener.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 | $0.00013 | $0.01553 |
| Opus 5 | $0.00006 | $0.00776 |
| Sonnet 5 | $0.00003 | $0.00311 |
| Haiku 4.5 | $0.00001 | $0.00155 |
Grade A, and why
run-screener 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run Stock Screener
Interactive stock screening using pre-configured investment strategies. Results are displayed as a summary table and saved to CSV for further analysis.
Steps:
-
List available presets using
mcp__tradingview__list_presets- Get all available preset strategies
-
Structured preset selection wizard (ALWAYS show ALL screens):
CRITICAL: You MUST use AskUserQuestion with TWO separate questions in a SINGLE call to show both screens together.
Use AskUserQuestion with questions array containing BOTH questions:
Question 1 - "Select from common strategies:"
- Header: "Strategy"
- multiSelect: false
- Options (7 choices):
- label: "Quality Stocks", description: "High-quality, low-volatility stocks with strong fundamentals and uptrends (conservative)"
- label: "Value Stocks", description: "Undervalued stocks with low P/E and P/B ratios"
- label: "Dividend Stocks", description: "High dividend yield with consistent payout"
- label: "Momentum Stocks", description: "Strong recent performance and technical momentum"
- label: "Growth Stocks", description: "High-growth companies with strong revenue and earnings expansion"
- label: "Dividend Growth", description: "Consistent dividend payers with growing payouts and strong FCF"
- label: "Deep Value", description: "Contrarian screen: P/E <10, P/B <1.5, positive earnings and FCF"
Question 2 - "Select from advanced strategies:"
- Header: "Advanced"
- multiSelect: false
- Options (7 choices):
- label: "Quality Growth", description: "Comprehensive quality + growth screen with technical filters (advanced)"
- label: "Quality Compounder", description: "Durable compounders: gross margin >40%, ROIC >15%, FCF margin >15% (Munger/Buffett style)"
- label: "GARP", description: "Growth at Reasonable Price: PEG <2, ROE >15%, revenue growth >10%"
- label: "Breakout Scanner", description: "Technical breakouts: near 52-week highs, golden cross, above-average volume"
- label: "Earnings Momentum", description: "Strong EPS growth YoY >20%, revenue growth >10%, above SMA50"
- label: "Macro Assets", description: "Key macro assets: VIX, DXY, yields, gold, oil, BTC (not a stock screen)"
- label: "Market Indexes", description: "Global market indexes for market regime analysis (not a stock screen)"
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.
- 9d ago First seen · 124 lines · 13 tokens per session scan A 69d080a4987f
run-screener is a command published in the GitHub repository fiale-plus/tradingview-mcp-server (50 stars, last pushed 18d ago), licensed MIT. It adds 13 tokens to every session and 1,553 once invoked, about $0.0001 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.
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merit-customers
Find or create a Merit Aktiva customer (or vendor).
CLAUDE
Command "CLAUDE" from Calhooon/bsv-wallet-cli, covering commands, files, decisions, gotchas and related.
tnl-asset-exposure
Map documented and inferred exposure paths, horizons, and counterfactors.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.