What is social-trading?

An automated trade-copying tool that reads signals from bots, traders, and alert services, then places matching trades.

Copy trades or signals from Telegram, Discord, Twitter/X, TradingView, exchanges, and custom webhooks. Review results such as win rate and profit or loss by signal source.

It removes the need to watch many message channels and manually turn alerts into orders. It can also adjust copied trade sizes to match your risk level.

social-trading — Skill by Signal-Execution-Labs/forex-trading-ai-agent

Install

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.

Any agent

npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill social-trading

Clone the repo

git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/social-trading/github.svg)](https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/social-trading)

Your own site

<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/social-trading"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/social-trading/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/social-trading"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/social-trading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,458 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 286
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
medium Excessive Agency · line 287
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
medium Excessive Agency · line 303
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00019	$0.02458
Opus 5.5	$0.00008	$0.00983
Sonnet 5.5	$0.00004	$0.00492
Haiku 4.5	$0.00002	$0.00246

Measured 2mo ago against content hash 84d2e5006ecc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

social-trading 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (__init__.py, social_trader.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

social-trading — 100% identical, 0 lines differ

skills/social-trading/SKILL.md · 362 lines

How it starts

The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copy trades from professional traders, signal bots, and automated systems across multiple platforms.

Overview

Multi-Source Copy Trading - Copy from Telegram bots, Discord bots, Twitter signals, API providers
Smart Signal Processing - Parse, validate, and execute signals automatically
Risk Adjustment - Scale positions based on your risk tolerance
Performance Tracking - Track win rate and P&L per signal source
Latency Optimization - Sub-second execution for time-sensitive signals

Signal Sources

Supported Platforms

Platform	Type	Latency
Telegram Bots	Real-time messages	<1s
Discord Bots	Channel webhooks	<1s
Twitter/X	Tweet monitoring	2-5s
TradingView	Webhook alerts	<1s
Crypto Exchanges	Copy trading API	<1s
Custom Webhooks	HTTP POST	<1s

Supported Bot Types

Signal Bots - Provide buy/sell signals
Copy Trading Bots - Mirror trades from a master account
Alert Bots - Notify about market conditions
Strategy Bots - Execute predefined strategies

Configuration

# workspace/social-trading.yaml
sources:
  # Telegram Signal Bot
  - name: "Crypto Whale Signals"
    type: telegram_bot
    channel_id: "@CryptoWhaleVIP"
    enabled: true
    filters:
      min_confidence: 0.8
      pairs: ["BTC/USDT", "ETH/USDT"]
    risk:
      max_position_pct: 5
      scale_factor: 0.5  # Copy at 50% of signal size
      
  # Discord Signal Server
  - name: "Forex Masters"
    type: discord
    server_id: "123456789"
    channel_id: "signals"
    enabled: true
    markets: [forex]
    risk:
      max_position_pct: 3
      
  # Another K.I.T. Bot (via webhook)
  - name: "Partner K.I.T. Bot"
    type: kit_webhook
    endpoint: "https://partner-kit.example.com/signals"
    api_key: "${PARTNER_KIT_API_KEY}"
    enabled: true
    
  # Binance Copy Trading (Leaderboard)
  - name: "Binance Top Trader"
    type: binance_copy
    trader_id: "XXXX1234"
    enabled: true
    risk:
      scale_factor: 0.25
      
  # Custom Webhook
  - name: "My Custom Source"
    type: webhook
    listen_port: 8081
    secret: "${WEBHOOK_SECRET}"
    enabled: true

settings:
  execution:
    max_slippage_pct: 0.5
    max_signal_age_seconds: 60
    confirm_large_trades: true  # Confirm trades > $1000
    
  risk:
    max_daily_trades: 50
    max_daily_loss_pct: 5
    max_concurrent_positions: 10
    
  notifications:
    on_signal: true
    on_trade: true
    on_close: true
    channel: telegram

routing:
  crypto: binance
  forex: mt5
  stocks: alpaca

Read the full file on GitHub · 362 lines

Files

What ships with it

2 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.

Changes

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.

2mo ago First seen · 362 lines · 19 tokens per session scan A 84d2e5006ecc

Subscribe to this mod's changes

social-trading is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (186 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 2,458 once invoked, about $0.0001 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 2026-09-03.

Finance and fintech agent ai forex forex-prediction

social-trading next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
social-tradingSignal-Execution-Labs/forex-trading-ai-agent	Skill	186	1mo ago	MIT	A	19	Claude Code, Codex
cost-efficiency-analyzerawslabs/agentcore-samples	Skill	3.5k	2d ago	Apache-2.0	A	98	Claude Code, Codex
omh-spend-gaterlaope/oh-my-hermes	Skill	5.2k	today	MIT	A	110	Claude Code, Codex
onboardingginlix-ai/LangAlpha	Skill	2.2k	today	Apache-2.0	A	60	Claude Code, Codex
stock-valuationyennanliu/InvestSkill	Skill	280	15d ago	MIT	A	19	Claude Code
technical-analysisyennanliu/InvestSkill	Skill	280	15d ago	MIT	A	9	Claude Code
chart-masteryennanliu/InvestSkill	Skill	280	15d ago	MIT	A	36	Claude Code