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 jadatorin/tradingview-opencode-agent --skill opencode-skillsgit clone --depth 1 https://github.com/jadatorin/tradingview-opencode-agentWrote 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/jadatorin/tradingview-opencode-agent/opencode-skills)<a href="https://agentmods.dev/skills/jadatorin/tradingview-opencode-agent/opencode-skills"><img src="https://agentmods.dev/badge/skills/jadatorin/tradingview-opencode-agent/opencode-skills/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/jadatorin/tradingview-opencode-agent/opencode-skills"><img src="https://agentmods.dev/badge/skills/jadatorin/tradingview-opencode-agent/opencode-skills.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 | $0.00044 | $0.00918 |
| Opus 5.5 | $0.00018 | $0.00367 |
| Sonnet 5.5 | $0.00009 | $0.00184 |
| Haiku 4.5 | $0.00004 | $0.00092 |
Grade A, and why
tradingview-opencode-agent 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.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TradingView OpenCode Agent — Dispatcher
Este es el skill orquestador que enruta a las sub-skills especializadas de TradingView.
Sub-Skills Disponibles
| Sub-Skill | Trigger | Descripción |
|---|---|---|
chart-analysis |
"analyze chart", "technical analysis", "review my chart" | Análisis técnico completo: setup de gráfico, indicadores, navegación, anotaciones, screenshot |
pine-develop |
"write Pine Script", "develop indicator", "create strategy" | Desarrollo Pine Script: write → compile → fix errors → iterate |
replay-practice |
"replay", "practice trading", "backtest manually" | Modo replay: step bars, tomar trades, trackear P&L |
multi-symbol-scan |
"scan symbols", "compare instruments", "multi-symbol", "screen" | Análisis multi-símbolo: batch screenshots, indicadores, watchlist |
strategy-report |
"strategy report", "backtest results", "performance report" | Métricas de estrategia: trades, equity, win rate, recomendaciones |
Cómo Usar
Cuando el usuario pide algo relacionado con TradingView:
- Identifica la sub-skill correcta según los triggers de arriba
- Carga la sub-skill desde el directorio de skills
- Sigue el workflow de la sub-skill precisamente
- Reporta los resultados al usuario
Quick Decision Tree
| El usuario dice... | Sub-Skill |
|---|---|
| "¿Qué hay en mi gráfico?" / "Analiza ES1!" | chart-analysis |
| "Escribe un indicador para..." | pine-develop |
| "Practicar trading del 1 de marzo" | replay-practice |
| "Escanea ES, NQ, YM para setups" | multi-symbol-scan |
| "Muéstrame el rendimiento de la estrategia" | strategy-report |
Conexión MCP
Path: ./src/server.js
Antes de cualquier sub-skill, verificar que TradingView esté conectado:
tv_health_check
Si falla, usar tv_launch para iniciar TradingView con debug port.
Estructura del Repositorio
opencode-skills/
├── SKILL.md # Este archivo (dispatcher)
├── chart-analysis/
│ └── SKILL.md
├── pine-develop/
│ └── SKILL.md
├── replay-practice/
│ └── SKILL.md
├── multi-symbol-scan/
│ └── SKILL.md
├── strategy-report/
│ └── SKILL.md
└── docs/
├── INSTALL.md
├── MCP.md
└── TROUBLESHOOTING.md
What ships with it
8 files 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 · 99 lines · 44 tokens per session scan A 27cdf47a4f86
tradingview-opencode-agent is a skill published in the GitHub repository jadatorin/tradingview-opencode-agent (4 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 918 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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