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 catalyst-calendargit 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/catalyst-calendar)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/catalyst-calendar"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/catalyst-calendar/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/catalyst-calendar"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/catalyst-calendar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 86 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00018 | $0.00852 |
| Opus 5 | $0.00009 | $0.00426 |
| Sonnet 5 | $0.00004 | $0.00170 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
catalyst-calendar 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- catalyst-calendar — 88% identical, 25 lines differ
- catalyst-calendar — 88% identical, 25 lines differ
- catalyst-calendar — 88% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Catalyst Calendar
Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".
Workflow
Step 1: Define Coverage Universe
- List of companies to track (tickers or names)
- Sector / industry focus
- Include macro events? (Fed meetings, economic data, regulatory deadlines)
- Time horizon (next 2 weeks, month, quarter)
Step 2: Gather Catalysts
For each company, identify upcoming events using platform tools:
- Use macro MCP:
get_earnings_calendar(from_date, to_date)for all companies reporting in date range - Use macro MCP:
get_economic_calendar(from_date, to_date)for upcoming macro events - Use
get_company_overviewtool for company details - Use
WebSearch/WebFetchfor news-driven catalysts
Earnings & Financial Events
- Quarterly earnings date and time (pre/post market)
- Annual shareholder meeting
- Investor day / analyst day
- Capital markets day
- Debt maturity / refinancing dates
Corporate Events
- Product launches or announcements
- FDA approvals / regulatory decisions
- Contract renewals or expirations
- M&A milestones (close dates, regulatory approvals)
- Management transitions
- Insider trading windows (lockup expirations)
Industry Events
- Major conferences (dates, which companies presenting)
- Trade shows and expos
- Regulatory comment periods or rulings
- Industry data releases (monthly sales, traffic, etc.)
Macro Events
- Fed meetings (FOMC dates)
- Jobs report, CPI, GDP releases
- Central bank decisions (ECB, BOJ, etc.)
- Geopolitical events with market impact
Step 3: Calendar View
| Date | Event | Company/Sector | Type | Impact (H/M/L) | Our Positioning | Notes |
|---|---|---|---|---|---|---|
| Earnings/Corp/Industry/Macro | Long/Short/Neutral |
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 · 97 lines · 18 tokens per session scan A 6d960e19ea84
catalyst-calendar is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,727 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 852 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.
Other skills, from other repositories
creating-financial-models
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions.
dividend-analysis
Comprehensive capital allocation analysis: dividends, buybacks, M&A, debt management, and FCF deployment.
report-generator
Generate professional HTML/PDF investment reports with interactive visualizations.
stock-eval
Evaluate US stocks with comprehensive fundamental and valuation analysis.
stock-valuation
Multi-method stock valuation using DCF, comparable company analysis, EV multiples, and residual income models.
technical-analysis
Technical analysis of US stocks using charts and indicators.