binance-trading-signal

binance-trading-signal is a skill for Claude Code, Codex from binance/binance-skills-hub. It costs 220 tokens per session (11,500 once invoked), scanned B, original, no licence file.

A Binance Web3 tool for on-chain trading signals and signal strategies. On-chain means the activity is recorded on a blockchain; the signals come from smart-money wallets, platform strategies, or user-created meme and FOMO strategies.

In plain words
What is it for?
Use it to monitor wallet buy and sell events, review platform strategies, manage custom strategies, compare activity on BSC and Solana, and compare protocols.
Why use it?
It helps organise trading signals and review how strategies performed across different situations. Reports include daily updates and monthly backtest reviews, which test a strategy against historical data.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to monitor wallet buy and sell events, review platform strategies, manage custom strategies, compare activity on BSC and Solana, and compare protocols.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/binance/binance-skills-hub/binance-trading-signal
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 binance/binance-skills-hub --skill binance-trading-signal
Clone the repo
git clone --depth 1 https://github.com/binance/binance-skills-hub

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.

agentmods badge for binance-trading-signal

README.md
[![agentmods](https://agentmods.dev/badge/skills/binance/binance-skills-hub/binance-trading-signal/github.svg)](https://agentmods.dev/skills/binance/binance-skills-hub/binance-trading-signal)
Your own site
<a href="https://agentmods.dev/skills/binance/binance-skills-hub/binance-trading-signal"><img src="https://agentmods.dev/badge/skills/binance/binance-skills-hub/binance-trading-signal/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.

agentmods 80×15 button for binance-trading-signal

Your own site · 80×15
<a href="https://agentmods.dev/skills/binance/binance-skills-hub/binance-trading-signal"><img src="https://agentmods.dev/badge/skills/binance/binance-skills-hub/binance-trading-signal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 220 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,500 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 23 Jul 2026
  • Snyk warn 23 Jul 2026
How audits are shown
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00220 $0.11500
Opus 5 $0.00110 $0.05750
Sonnet 5 $0.00044 $0.02300
Haiku 4.5 $0.00022 $0.01150

Measured 2d ago against content hash d55b265d1534, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

binance-trading-signal scanned grade B with 1 finding 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/cli.mjs), 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.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

- Backtest credit whitelist mechanism (`isWhiteList`) — never tell the user whether they are on a whitelist or what the whitelist differences are.
skills/binance-web3/binance-trading-signal/SKILL.md · 629 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 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.

  1. 2d ago Changed · +11 lines d55b265d1534
  2. 12d ago First seen · 618 lines · 220 tokens per session scan B e849dba3d713

Subscribe to this mod's changes

binance-trading-signal is a skill published in the GitHub repository binance/binance-skills-hub (1,026 stars, last pushed yesterday), with no licence file. It adds 220 tokens to every session and 11,500 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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