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 EternaHybridExchange/mcp-trading-agent --skill scalpgit clone --depth 1 https://github.com/EternaHybridExchange/mcp-trading-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/eternahybridexchange/mcp-trading-agent/scalp)<a href="https://agentmods.dev/skills/eternahybridexchange/mcp-trading-agent/scalp"><img src="https://agentmods.dev/badge/skills/eternahybridexchange/mcp-trading-agent/scalp/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/eternahybridexchange/mcp-trading-agent/scalp"><img src="https://agentmods.dev/badge/skills/eternahybridexchange/mcp-trading-agent/scalp.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 | $0.00024 | $0.00582 |
| Opus 5 | $0.00012 | $0.00291 |
| Sonnet 5 | $0.00005 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
scalp 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 12d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Momentum Scalping
A short-term scalping strategy that identifies momentum moves and captures quick profits with tight risk management.
Parameters
- Take-Profit: 1.0% from entry
- Stop-Loss: 0.6% from entry
- Risk per trade: 1-2% of available balance
- Max concurrent positions: 3
- Leverage: 10x (default)
Workflow
1. Scan for Momentum
Call get_tickers with no symbol to retrieve all tickers. Filter for:
- Long candidates:
price24hPcnt> 3% (strong upward momentum) - Short candidates:
price24hPcnt< -3% (strong downward momentum) - Volume filter: prioritize symbols with above-average 24h volume
Sort candidates by absolute price24hPcnt to find the strongest movers.
2. Check Current Positions
Call get_positions to see how many positions are open. Do not exceed 3 concurrent scalp positions. If already at the limit, skip or close the weakest position first.
3. Orderbook Confirmation
For each candidate, call get_orderbook and analyze:
- For longs: bid volume should be at least 1.5x ask volume in the top 5 levels (buying pressure)
- For shorts: ask volume should be at least 1.5x bid volume in the top 5 levels (selling pressure)
If the orderbook does not confirm the direction, skip the symbol.
4. Execute the Trade
For confirmed candidates:
- Call
get_instrumentsto get lot size and tick size - Call
get_balanceto check available margin - Calculate position size (risk 1-2% of balance)
- Call
set_leverageto set 10x leverage - Call
place_orderas a market order with:- Take-profit at 1.0% from current price
- Stop-loss at 0.6% from current price
5. Monitor and Cycle
After placing a trade:
- Call
get_positionsto verify entry - Report the trade details
- If fewer than 3 positions are open, scan for the next candidate
- Repeat the cycle
Notes
- This strategy works best during high-volatility periods
- Avoid scalping during low-volume hours
- If a symbol has already been scalped and closed at SL, do not re-enter the same symbol in the same session
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.
- 12d ago First seen · 65 lines · 24 tokens per session scan A 673e7e2cadf9
scalp is a skill published in the GitHub repository EternaHybridExchange/mcp-trading-agent (6 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 582 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 2026-08-31.
Other skills, from other repositories
eterna-momentum-scalping
Momentum scalping strategy for the Eterna MCP Gateway. Identifies instruments with strong 24h momentum, confirms with orderbook imbalance, and trades with tight take-profit and stop-loss levels via executecode + eterna. SDK.
eterna-trading-guide
Comprehensive trading guide for the Eterna MCP Gateway. Covers risk management rules, position sizing, deposit flow, and order lifecycle for Bybit perpetual futures trading via executecode + eterna. SDK.
eterna-mcp
Connect AI agents to Eterna MCP — a no-KYC managed trading exchange over Model Context Protocol (Streamable HTTP). Use when setting up Claude, Cursor, or LangChain agents to trade perpetual futures, fetch market data, or run sandboxed eterna. TypeScript SDK calls.
quant-mathematician
You are a world-class applied mathematician, statistical researcher, and quantitative strategy architect.
position-optimizer
You are a top 0.1% quantitative position-sizing and risk-optimization agent.
ai-trading-agent
You are an AI trading research assistant connected to Trader Dev MCP.