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 BaggaT236/AI-Trading-Skills --skill market-news-analystgit clone --depth 1 https://github.com/BaggaT236/AI-Trading-SkillsWrote 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/baggat236/ai-trading-skills/market-news-analyst)<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/market-news-analyst"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/market-news-analyst/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/baggat236/ai-trading-skills/market-news-analyst"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/market-news-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00115 | $0.06132 |
| Opus 5 | $0.00057 | $0.03066 |
| Sonnet 5 | $0.00023 | $0.01226 |
| Haiku 4.5 | $0.00012 | $0.00613 |
Grade A, and why
market-news-analyst 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 13d 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.
This is a copy
100% identical to market-news-analyst — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 715 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market News Analyst
Overview
This skill enables comprehensive analysis of market-moving news events from the past 10 days, focusing on their impact on US equity markets and commodities. The skill automatically collects news from trusted sources using WebSearch and WebFetch tools, evaluates market impact magnitude, analyzes actual market reactions, and produces structured English reports ranked by market impact significance.
When to Use This Skill
Use this skill when:
- User requests analysis of recent major market news (past 10 days)
- User wants to understand market reactions to specific events (FOMC decisions, earnings, geopolitical)
- User needs comprehensive market news summary with impact assessment
- User asks about correlations between news events and commodity price movements
- User requests analysis of how central bank policy announcements affected markets
Example user requests:
- "Analyze the major market news from the past 10 days"
- "How did the latest FOMC decision impact the market?"
- "What were the most important market-moving events this week?"
- "Analyze recent geopolitical news and commodity price reactions"
- "Review mega-cap tech earnings and their market impact"
Analysis Workflow
Follow this structured 6-step workflow when analyzing market news:
Step 1: News Collection via WebSearch/WebFetch
Objective: Gather comprehensive news from the past 10 days covering major market-moving events.
Search Strategy:
Execute parallel WebSearch queries covering different news categories:
Monetary Policy:
- Search: "FOMC meeting past 10 days", "Federal Reserve interest rate", "ECB policy decision", "Bank of Japan"
- Target: Central bank decisions, forward guidance changes, inflation commentary
Inflation/Economic Data:
- Search: "CPI inflation report [current month]", "jobs report NFP", "GDP data", "PPI producer prices"
- Target: Major economic data releases and surprises
Mega-Cap Earnings:
- Search: "Apple earnings [current quarter]", "Microsoft earnings", "NVIDIA earnings", "Amazon earnings", "Tesla earnings", "Meta earnings", "Google earnings"
- Target: Results, guidance, market reactions for largest companies
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 715 lines · 115 tokens per session scan A a66b8073a748
market-news-analyst is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 9d ago), licensed MIT. It adds 115 tokens to every session and 6,132 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to market-news-analyst, differing in 0 lines, and is treated as a copy.
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