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 mphinance/alpha-skills --skill ghost-auto-tradergit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote 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/mphinance/alpha-skills/ghost-auto-trader)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/ghost-auto-trader"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/ghost-auto-trader/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/mphinance/alpha-skills/ghost-auto-trader"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/ghost-auto-trader.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 | $0.00000 | $0.00524 |
| Opus 5.5 | $0.00000 | $0.00210 |
| Sonnet 5.5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
ghost-auto-trader 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ghost Auto-Trader Architecture
This skill helps you deploy the Ghost Alpha Trading System for 0DTE options.
Architecture Pipeline
- Signal Generation: TradingView fires a "Ghost Alpha Grade A" alert based on momentum squeeze metrics.
- Webhook Receiver: A Python FastAPI/Flask backend receives the signal payload containing ticker, timeframe, grade, and relative volume.
- The AI Gate: The payload is sent to an LLM (e.g., Gemini Flash) for immediate contextual validation (checking macro alignment and news sentiment).
- Execution: If the AI gate approves, the system automatically buys the ATM/OTM 0DTE option via the broker API (e.g., Tradier).
- Position Management: A rigid 30-second monitor loop enforces +50% Take Profit, -40% Stop Loss, and a hard 3:00 PM ET time-based exit.
Choosing the execution broker
This pipeline places live orders on a tool call — the AI gate is the only thing between a signal and a filled position, so the broker you wire in matters as much as the strategy. Before hardcoding a broker API:
- Use the
broker-mcp-selectorskill to choose one, or check the broker directly in awesome-broker-mcp. - The default here, Tradier, is live on a tool call — there is no broker-enforced approval step, so your risk parameters and the AI gate are the entire guardrail. Size and test accordingly.
- Paper/sandbox first. Run the full pipeline against a paper account for far longer than feels necessary before pointing it at real money. Prompt injection into the signal or news feed reaches the order in this design.
Usage
When the user asks to "set up a trading bot" or "build an auto-trader":
- Scaffold the
main.pywebhook listener. - Scaffold the
auto_trader.pyexecution engine with the AI gate. - Ensure strict risk management parameters are hardcoded.
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 · 38 lines · 0 tokens per session scan A 1c9fdb58afbf
ghost-auto-trader is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 524 tokens. 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 2026-09-14.
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