Agent skill

Traderspy Market Briefing

by sickn33 in sickn33/agentic-awesome-skills

Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers.

MITAuto-check passed

Install Traderspy Market Briefing

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill traderspy-market-briefing -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills traderspy-market-briefing --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/traderspy-market-briefing .claude/skills/traderspy-market-briefing && 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
traderspy-market-briefing
GitHub stars
47k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
1,051 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers.

  • Works in 6 steps: Majors — get_price with… → Positioning — get_derivatives with… → Movers — screen_symbols with no… → …
  • Whats happening in crypto
  • SKILL.md covers When to Use, The playbook (6 calls, all…, Reading the pieces and The briefing format, plus 4 more sections
  • Reaches mcp.traderspy.app

What it does

Traderspy Market Briefing is an agent skill from sickn33/agentic-awesome-skills. Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers. Use for "what's happening in crypto" or a recap.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Whats happening in crypto

Example prompts

  • “s happening in crypto”
  • “/traderspy-market-briefing”

Workflow steps

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

  1. Majors — get_price with ["BTCUSDT","ETHUSDT","SOLUSDT"] plus any coins the user has
  2. Positioning — get_derivatives with ["BTC","ETH","SOL"] (add up to two of the user's
  3. Movers — screen_symbols with no conditions, sortBy: "change24h", limit: 50, `universe
  4. What is stretched — screen_symbols with [{"metric":"rsi","op":"lt","value":30}] on 4h,
  5. Signal engine — get_signal_stats with period: "24h" (or 7d for a weekly recap).
  6. Freshest ideas — get_signals with limit: 5.

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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:

    • mcp.traderspy.app

    Also links to:

    • traderspy.app

    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

Traderspy Market Briefing loads about 2k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 1,051 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 1,051 words, ~1,954 tokens.

Download SKILL.mdSave it as .claude/skills/traderspy-market-briefing/SKILL.md (or your agent's skills folder).
name
traderspy-market-briefing
description
Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers. Use for "what's happening in crypto" or a recap.
category
finance
risk
safe
source
https://github.com/target1m/traderspy-mcp/tree/069aae5a84640d671f92705a2e3bc0b62efca1e0/skills/market-briefing
source_repo
target1m/traderspy-mcp
source_type
official
date_added
2026-09-25
author
target1m
tags
traderspy, crypto, market-briefing, derivatives, mcp
tools
claude, cursor, gemini
license
MIT

TraderSpy Market Briefing

A briefing is a fixed set of questions answered with fresh numbers, in an order a trader can scan in thirty seconds: where are the majors, how is the market positioned, what is the signal engine seeing, what stands out on the screener. The value is in the selection and the brevity, not in the volume of data — every tool call costs the user quota, so the playbook below is deliberately tight.

When to Use

  • Use when the user asks "what's happening in crypto", for a market update or a morning brief, "how's the market today", "anything interesting right now", an overview or a weekly recap.
  • Use when a conversation opens with a vague question about the crypto market, even a casual one.
  • Do not use for a deep dive on one coin (@traderspy-technical-analysis), one trader (@traderspy-smart-money) or one signal (@traderspy-trading-signals).

The playbook (6 calls, all read-only)

  1. Majors — get_price with ["BTCUSDT","ETHUSDT","SOLUSDT"] plus any coins the user has mentioned in the conversation (≤ 20 per call). Price, 24h change, 24h range.
  2. Positioning — get_derivatives with ["BTC","ETH","SOL"] (add up to two of the user's coins). Funding label and annualized rate, open-interest change and regime, top-trader long share, taker flow. The notes[] are written to be quoted.
  3. Movers — screen_symbols with no conditions, sortBy: "change24h", limit: 50, universe: 50, interval: "4h". One call returns all 50 most-traded pairs sorted by 24h change: the top five are the gainers, the last five the losers.
  4. What is stretched — screen_symbols with [{"metric":"rsi","op":"lt","value":30}] on 4h, limit: 5. If it returns nothing, flip to rsi gt 70 — one of the two usually has names.
  5. Signal engine — get_signal_stats with period: "24h" (or 7d for a weekly recap).
  6. Freshest ideas — get_signals with limit: 5.

Smart-money lean is already in step 2 (positioning.topTraderLongPct); add get_positions (status: open, limit: 20) only when the user asks who specifically is positioned how.

Quota-aware variants. If the user is on a free key or asks for "just the headline", run steps 1, 2 and 5 only (three calls) and say what you skipped. For a weekly recap use 7d in step 5 and interval: "1d" in steps 3–4.

If any call fails or returns empty, keep the section with a one-line "unavailable right now" note rather than dropping it silently — a briefing with a hole is more honest than one that quietly narrowed.

Reading the pieces

  • Funding: near the 0.01%/8h baseline is neutral; clearly positive means longs pay shorts (a crowded long is a risk, not a signal); negative means shorts pay. Quote the annualized figure — it is the number people feel.
  • Open interest regime (openInterest.regime): new_longs (OI up, price up), short_covering (OI down, price up), new_shorts (OI up, price down), long_liquidation (OI down, price down), flat. This is the one line that explains WHY the majors moved.
  • Top-trader long share: the tool labels long_heavy at a long/short ratio ≥ 1.5 (≈ 60%+ long) and short_heavy at ≤ 0.67 (≈ 40% or less); in between call it balanced. Top-trader positioning is the more informative one; the all-account ratio shows the crowd.
  • Signal stats: winRate is hits ÷ (hits + stops) on signals created in the window; say total and pending next to it, and treat a 24h window with fewer than ~10 resolved signals as a small sample.
  • Movers are the most-traded pairs by 24h volume sorted by change — a liquid-names list, not an all-market list. Say so if a small cap the user follows is missing.
Show full SKILL.md (479 more words)Show less

The briefing format

ALWAYS use this structure, in this order, with real numbers from the calls — no placeholders:

Crypto brief — <date, UTC time of the calls>

  1. Headline — one sentence: the majors' direction and the single most notable positioning fact.
  2. Majors — a table: Symbol · Price · 24h % · 24h range.
  3. Positioning — per major, one line: funding (label, annualized), OI regime, top-trader long %, and one quoted note.
  4. Movers — top 5 gainers and top 5 losers among the most-traded pairs (symbol, price, 24h %).
  5. Stretched — the oversold or overbought names with their RSI, or "none on the 4h" if empty.
  6. Signal engine — total signals in the window, hit rate with the resolved count, then the five freshest signals as one line each: coin, side, timeframe, preset, status.
  7. What to watch — two or three bullets derived from the data above (a funding extreme, an OI regime worth confirming, a stretched name that is also in a signal). Facts and their implications, not instructions.
  8. One plain sentence: crypto derivatives are high-risk; this is market information for the user's own research, not financial advice.

Keep it under ~350 words. Numbers beat adjectives: "BTC −2.1% to 77,300, funding neutral, OI −2.7% with price flat" is a briefing; "BTC looks weak" is not.

Conduct

  • A briefing reports the market; it does not tell the user what to do in it. "What to watch" names facts and what would confirm or invalidate them — never "buy the dip" or "short this".
  • Hit rates and past moves describe their sample; do not extend them into predictions.
  • Nothing in this connector trades — no order, close, transfer or withdrawal tool exists, by design. If asked to act on the briefing, say so plainly; the decision and the trade stay with the user.
  • Every number comes from a tool result made in this conversation; state the time of the calls so the user knows how fresh the brief is, and never reuse figures from an earlier brief as if they were current.

Examples

text
Give me a crypto market briefing.
Give me a crypto morning brief: what moved, where funding is stretched, and what the AI signals fired overnight.
Just the headline: where are BTC, ETH and SOL, and how is the market positioned?
Weekly recap of the crypto market.

Limitations

  • Needs the hosted TraderSpy MCP server connected in the client (https://mcp.traderspy.app/mcp, Streamable HTTP), authorized with OAuth or a personal key from https://traderspy.app/mcp. A free TraderSpy account is enough. Without the server the skill has no data to work from.
  • Tool calls are metered per day: 300 on the free tier, 5,000 on premium.
  • Every tool is read-only. Nothing here places, closes or modifies an order, and there is no withdrawal or transfer tool.
  • The output is market data and analysis for the user's own research, not investment advice.
  • A full briefing uses six tool calls; the headline variant uses three.
  • The movers and stretched lists cover the most-traded pairs by 24h volume, not every listed coin.
  • @traderspy-technical-analysis - one coin in depth
  • @traderspy-market-screener - the full screener and backtests behind the movers list
  • @traderspy-trading-signals - one signal in detail
  • @traderspy-smart-money - who specifically is positioned how

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/traderspy-market-briefing of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Traderspy Market Briefing compared with similar skills
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Review Briefevery-app/open-seo23k—~1.2kAutomated safety check: PassMIT
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Questions about Traderspy Market Briefing

What does Traderspy Market Briefing do?

Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers. Traderspy Market Briefing is an agent skill from sickn33/agentic-awesome-skills. Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers.

When should I use Traderspy Market Briefing?

Traderspy Market Briefing fits situations like: whats happening in crypto.

How do I install Traderspy Market Briefing in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-market-briefing -a claude-code`. Or copy the skill folder (skills/traderspy-market-briefing in sickn33/agentic-awesome-skills) into .claude/skills/traderspy-market-briefing in your project. Claude Code loads it when a task matches its description.

How do I install Traderspy Market Briefing in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-market-briefing -a codex`. Or copy the skill folder (skills/traderspy-market-briefing in sickn33/agentic-awesome-skills) into .agents/skills/traderspy-market-briefing in your project. Codex loads it when a task matches its description.

Can I use Traderspy Market Briefing 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 sickn33/agentic-awesome-skills --skill traderspy-market-briefing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/traderspy-market-briefing, .gemini/skills/traderspy-market-briefing, .github/skills/traderspy-market-briefing and .opencode/skills/traderspy-market-briefing in your project.

What does Traderspy Market Briefing need to run?

SKILL.md names no scripts, command-line tools or credentials: Traderspy Market Briefing is instructions for the agent only.

Does Traderspy Market Briefing access the network?

SKILL.md names 2 domains. In commands or code: mcp.traderspy.app; the agent is likely to contact it when it follows the instructions. As links in the text: traderspy.app. This is read from the text; nothing was executed.

Is Traderspy Market Briefing 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 Traderspy Market Briefing use?

Traderspy Market Briefing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Traderspy Market Briefing use?

About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Traderspy Market Briefing?

Skills that share tags, products or a category with Traderspy Market Briefing: Brief (alirezarezvani/claude-skills, 28k stars), Crypto Derivatives Strategies (HKUDS/Vibe-Trading, 35k stars), Brief (davepoon/buildwithclaude, 3.6k stars) and Review Brief (every-app/open-seo, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Traderspy Market Briefing?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.