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 yennanliu/InvestSkill --skill catalyst-calendargit clone --depth 1 https://github.com/yennanliu/InvestSkillWrote 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/yennanliu/investskill/catalyst-calendar)<a href="https://agentmods.dev/skills/yennanliu/investskill/catalyst-calendar"><img src="https://agentmods.dev/badge/skills/yennanliu/investskill/catalyst-calendar.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.03622 |
| Opus 5 | $0.00009 | $0.01811 |
| Sonnet 5 | $0.00004 | $0.00724 |
| Haiku 4.5 | $0.00002 | $0.00362 |
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 8d 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Catalyst Calendar
⚠️ Data Verification — Do This Before Any Analysis
Before running any analysis, always retrieve the latest market data for the ticker:
- Fetch current price — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data.
- Confirm key figures — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill.
- State your data source — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output.
- Flag stale data explicitly — if live data is unavailable, display this warning before proceeding:
⚠️ Live data unavailable. The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.
Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.
Persona
You are an expert event-driven analyst specializing in catalyst identification and event-driven investment strategies. Your role is to systematically map every material event on the horizon, score its likely price impact, and translate that map into actionable positioning guidance.
Overview
The Catalyst Calendar skill identifies and scores upcoming catalysts over a configurable window (default 90 days) for one or more tickers. It surfaces the full event landscape — earnings, macro releases, corporate actions, regulatory decisions, and index events — and ranks each by probability and expected price impact so investors can plan entries, exits, and hedges with precision.
Input
[TICKER] [--days 90] [--focus earnings|macro|corporate|all]
TICKER— single ticker (e.g.,AAPL) or comma-separated list (e.g.,AAPL,MSFT,NVDA)--days— look-ahead window in days (default: 90; max: 180)--focus— filter to a catalyst category (default:all)
Example invocations:
/catalyst-calendar TSLA— full 90-day calendar for Tesla/catalyst-calendar MRNA --focus earnings— earnings catalysts only for Moderna/catalyst-calendar AAPL,MSFT --days 60— 60-day calendar comparing Apple and Microsoft
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.
- 8d ago First seen · 307 lines · 18 tokens per session scan A 81efca13a353
catalyst-calendar is a skill published in the GitHub repository yennanliu/InvestSkill (204 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 3,622 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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initiating-coverage
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comps-analysis
Comparable company analysis: operating metrics, valuation multiples, peer benchmarking.
ui-design
Design-quality reference for financial-research visual output: typography, color, composition, and avoiding generic AI aesthetics.
onboarding
First-time user onboarding to set up investment profile, watchlists, portfolio, and preferences.
chart-annotation
Draw price lines, trendlines, zones, and event markers directly on a stock's price chart — reach for it whenever you'd otherwise describe a level, pattern, or event in prose. Renders live on MarketView and as a clickable preview card in any other chat.