workspace-morning-brief

workspace-morning-brief is a skill for Claude Code from yyordanov-tradu/stock-scanner-mcp. It costs 25 tokens per session (762 once invoked), scanned A, original, MIT.

A personalized pre-market market report based on your saved trading profile, watchlists, and investment notes. It checks those holdings against current news, events, and broader market signals.

In plain words
What is it for?
Use it before trading to review watchlist catalysts, earnings events, news, economic factors, and links between related assets.
Why use it?
It saves you from manually checking every watched stock and deciding which overnight developments matter to your strategy.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the stock-scanner plugin — 19 skills, 3 commands, 2 MCP servers shipped together

Good fit Use it before trading to review watchlist catalysts, earnings events, news, economic factors, and links between related assets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief
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 yyordanov-tradu/stock-scanner-mcp --skill workspace-morning-brief
Clone the repo
git clone --depth 1 https://github.com/yyordanov-tradu/stock-scanner-mcp

Made for: Claude Code.

Or install stock-scanner, the plugin that ships this one along with the rest of its 19 skills, 3 commands, 2 MCP servers.

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 workspace-morning-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief/github.svg)](https://agentmods.dev/skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief)
Your own site
<a href="https://agentmods.dev/skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief/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 workspace-morning-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/workspace-morning-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 762 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.00762
Opus 5 $0.00013 $0.00381
Sonnet 5 $0.00005 $0.00152
Haiku 4.5 $0.00003 $0.00076

Measured 12d ago against content hash c9263cc8a8a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

workspace-morning-brief 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.

skills/workspace/workspace-morning-brief/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workspace Morning Brief

Overview

A highly tailored morning brief that reads the user's saved trading profile, watchlist, and global theses, and cross-references them against current market data. It specifically looks for correlations (e.g., crypto proxies vs BTC), earnings events, news flow, and macro catalysts that impact the user's specific saved names.

Announce at start: "Running personalized morning brief -- reading workspace context and cross-referencing market catalysts..."

Execution Flow

STEP 1: READ CONTEXT (Required Sequence)

You MUST execute these tool calls first to understand what matters to the user today.

  1. Call workspace_get_profile to read the trading style.
  2. Call workspace_list_watchlists to see which symbols are saved (focus on the 'core' watchlist).
  3. If the user has saved symbols, call workspace_get_thesis for up to 3 of the most critical symbols to read the existing context.

STEP 2: FETCH TARGETED DATA

Based ONLY on the symbols found in the user's workspace, fetch relevant data using the MCP tools:

  • Crypto Exposure Check: If the watchlist contains crypto-exposed equities (e.g., MARA, CIFR, COIN) or Bitcoin, you MUST fetch the current price and 24h change of BTC (using tradingview_quote for BINANCE:BTCUSDT). Evaluate the correlation and note if the stocks are tracking or diverging from the BTC move.
  • Event Risk Check: For active equity names (e.g., HOOD, SOFI), check for upcoming earnings today using finnhub_earnings_calendar and recent news using finnhub_company_news.
  • Risk Tone Check: If the watchlist contains Gold or Silver (or proxies like GLD/SLV), fetch their current prices. Note any sharp moves that might change the overall market risk tone.
  • Market Pulse: Fetch a basic S&P 500 / VIX quote (tradingview_quote for SPY and VIX) plus market_breadth with universe=major_us to establish whether the baseline market direction is broad or narrow.

STEP 3: SYNTHESIZE THE BRIEF

Do NOT give a generic, broad market recap. Structure your response to answer the following questions specifically about the user's watchlist:

Read the full file on GitHub · 47 lines

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. 12d ago First seen · 47 lines · 25 tokens per session scan A c9263cc8a8a7

Subscribe to this mod's changes

workspace-morning-brief is a skill published in the GitHub repository yyordanov-tradu/stock-scanner-mcp (6 stars, last pushed 2d ago), licensed MIT. It adds 25 tokens to every session and 762 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.

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