LangAlpha is an agent workspace for researching financial markets and supporting investment decisions through persistent research, news analysis, and parallel subagents. It is for investors who want to develop and update trading theses over time, including generating long-short pair-trade ideas. The catalogue entries provide the skills, instructions, MCP servers, and plugin that make up its agent workflow.
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.
npx skills add ginlix-ai/LangAlpha --skill morning-notegit clone --depth 1 https://github.com/ginlix-ai/LangAlphaWrote 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.
[](https://agentmods.dev/skills/ginlix-ai/langalpha/morning-note)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/morning-note"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/morning-note/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.
<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/morning-note"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/morning-note.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00792 |
| Opus 5 | $0.00010 | $0.00396 |
| Sonnet 5 | $0.00004 | $0.00158 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
morning-note 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Morning Note
Triggers on "morning note", "morning meeting", "what happened overnight", "trade idea", "morning call prep", or "daily note".
Workflow
Step 1: Overnight Developments
Scan for relevant events across coverage universe:
Earnings & Guidance
- Use macro MCP:
get_earnings_calendar(from_date, to_date)for companies reporting in date range - Use
get_company_overviewtool for consensus estimates and analyst data - Earnings surprises (beat/miss on revenue, EPS, key metrics)
- Guidance changes (raised, lowered, maintained)
News & Events
- Use
WebSearch/WebFetchfor market news - M&A announcements or rumors
- Management changes
- Product launches or regulatory decisions
- Analyst upgrades/downgrades
Market Context
- Use
get_market_overviewtool for index + sector-level daily performance - Use
get_daily_pricestool for pre-market and overnight price moves - Use macro MCP:
get_economic_calendar(from_date, to_date)for upcoming macro events - Relevant commodity or currency moves
Step 2: Morning Note Format
Keep it tight — a morning note should be readable in 2 minutes:
[Date] Morning Note — [Analyst Name] [Sector Coverage]
Top Call: [Headline — the one thing PMs need to hear]
- 2-3 sentences on the key development and why it matters
- Stock impact: price target, rating reiteration/change
Overnight/Pre-Market Developments
- [Company A]: One-line summary of earnings/news + our take
- [Company B]: One-line summary + our take
- [Sector/Macro]: Relevant sector-wide development
Key Events Today
- [Time]: [Company] earnings call
- [Time]: Economic data release (expectations vs. our view)
- [Time]: Conference or investor day
Trade Ideas (if any)
- [Long/Short] [Company]: 1-2 sentence thesis + catalyst
- Risk: What would make this wrong
Step 3: Quick Takes on Earnings
If a coverage company reported, provide a quick reaction:
| Metric | Consensus | Actual | Beat/Miss |
|---|---|---|---|
| Revenue | |||
| EPS | |||
| [Key metric] | |||
| Guidance |
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.
- 9d ago First seen · 94 lines · 19 tokens per session scan A e67c756173ee
morning-note is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,727 stars, last pushed yesterday), licensed Apache-2.0. It adds 19 tokens to every session and 792 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 2026-08-30.
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