Agent skill

Trading Signals

by roman-rr in roman-rr/trading-skills

Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification.

Custom licenceAuto-check passedBusiness, Finance & HR

Install Trading Signals

skills CLI
$ npx skills add roman-rr/trading-skills --skill trading-signals -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install roman-rr/trading-skills trading-signals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/roman-rr/trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/trading-signals .claude/skills/trading-signals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trading-signals
GitHub stars
119
Token cost
~2.2k tokens
SKILL.md length
967 words
Files
5 (incl. references, assets)
Skills in repo
1
Repo updated
First seen
Licence
Custom licence

At a glance

Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification.

  • Works in 6 steps: Check performance first: get_stats (or… → Fetch active signals: get_signals (or… → If levels come back null: that is the… → …
  • The user asks for crypto signals
  • SKILL.md covers When to Use This Skill, Access, MCP Server (Native Tool… and Recommended Workflow, plus 6 more sections
  • Calls claude, curl and npx; reaches signals.x70.ai

What it does

Trading Signals is an agent skill from roman-rr/trading-skills. Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification. Covers 50+ coins including BTC, ETH, SOL. Use when the user asks for crypto signals, trade ideas, market direction, portfolio analysis, or wants to build a trading bot.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `README.md`, `agents/openai.yaml` and `references/SIGNAL-FORMAT.md`).

It sits in Business, Finance & HR, covering Trading and backtesting. It works with Model Context Protocol. The repository describes itself as: 17 triggers × 44 algorithms × 3 AI experts — live crypto trading signals with reasoning for Claude Code, Codex, Cursor & 30+ agents. Free key; Pro adds entry, SL and TP.

When your agent uses it

  • The user asks for crypto signals
  • Market direction
  • Portfolio analysis
  • Wants to build a trading bot

Example prompts

  • “Use the trading-signals skill to fetch live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and…”
  • “/trading-signals”

Requirements

  • Node.js
  • A credential in YOUR_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Check performance first: get_stats (or GET /api/skill/stats?days=30) to assess current reliability — works without a key
  2. Fetch active signals: get_signals (or GET /api/skill/signals) for live setups
  3. If levels come back null: that is the free plan, not an error — entry/SL/TP require Pro. The response carries an upgrade object (REST) or…
  4. Filter: by the user's preferred coins or direction. Don't present confidence as a ranking of expected profit — show it as one attribute…
  5. Present to user: Show as a table with coin, direction, confidence, and — on Pro — entry, SL, TP, leverage, R/R
  6. Monitor verification: Re-fetch signals later to check if TP/SL was hit

What it can do on your machine

Read from SKILL.md and the folder at commit 409103c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude
    • curl
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • signals.x70.ai

    Also links to:

    • github.com
    • roman-rr.github.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trading Signals loads about 2.2k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 967 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 967 words (~2,169 tokens).

“Access live, AI-generated crypto trading signals via API. Signals include full trade setups (entry, SL, TP, leverage), confidence scores, and automated verification with actual P&L tracking.”

— opening of SKILL.md by roman-rr, Custom licence
name
trading-signals

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references, assets) in trading-signals of roman-rr/trading-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • assets/icon-small.svg
  • references/SIGNAL-FORMAT.md

Open the folder on GitHubat commit 409103c

Compare with similar skills

Trading Signals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Trading Signals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trading Signals this skillroman-rr/trading-skills119—~2.2kAutomated safety check: PassCustom licence
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Dr Manhattanguzus/dr-manhattan204—~2kAutomated safety check: PassApache-2.0
Agentic Trading DeskOft3r/agentic-trading-desk306—~5.1kAutomated safety check: PassMIT
Okx Cex Marketdex-original/okx-agent-trade-kit1101 repos~2.7kAutomated safety check: PassMIT
Polymarket Tennislivetennisapi/livetennisapi-mcp152—~3kAutomated safety check: PassMIT

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Questions about Trading Signals

What does Trading Signals do?

Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification. Trading Signals is an agent skill from roman-rr/trading-skills. Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification.

When should I use Trading Signals?

Trading Signals fits situations like: the user asks for crypto signals; market direction; portfolio analysis; wants to build a trading bot.

How do I install Trading Signals in Claude Code?

Run `npx skills add roman-rr/trading-skills --skill trading-signals -a claude-code`. Or copy the skill folder (trading-signals in roman-rr/trading-skills) into .claude/skills/trading-signals in your project. Claude Code loads it when a task matches its description.

How do I install Trading Signals in Codex?

Run `npx skills add roman-rr/trading-skills --skill trading-signals -a codex`. Or copy the skill folder (trading-signals in roman-rr/trading-skills) into .agents/skills/trading-signals in your project. Codex loads it when a task matches its description.

Can I use Trading Signals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add roman-rr/trading-skills --skill trading-signals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trading-signals, .gemini/skills/trading-signals, .github/skills/trading-signals and .opencode/skills/trading-signals in your project.

What does Trading Signals need to run?

Going by SKILL.md and its folder, Trading Signals needs the command-line tools its instructions call (claude, curl and npx). Our summary lists: Node.js; A credential in YOUR_KEY.

Does Trading Signals access the network?

SKILL.md names 3 domains. In commands or code: signals.x70.ai; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and roman-rr.github.io. This is read from the text; nothing was executed.

Is Trading Signals safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Trading Signals use?

Trading Signals has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Trading Signals use?

About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 862 tokens, read only when the agent opens those files.

What are the alternatives to Trading Signals?

Skills that share tags, products or a category with Trading Signals: Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Dr Manhattan (guzus/dr-manhattan, 204 stars), Agentic Trading Desk (Oft3r/agentic-trading-desk, 306 stars) and Okx Cex Market (dex-original/okx-agent-trade-kit, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trading Signals?

roman-rr (a GitHub user) maintains it in roman-rr/trading-skills, which has 119 GitHub stars. The repository was last updated on October 8, 2026.

Source: roman-rr/trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.