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 marian2js/trading-skills --skill macro-event-analysisgit clone --depth 1 https://github.com/marian2js/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/marian2js/trading-skills/macro-event-analysis)<a href="https://agentmods.dev/skills/marian2js/trading-skills/macro-event-analysis"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/macro-event-analysis/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/marian2js/trading-skills/macro-event-analysis"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/macro-event-analysis.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 | $0.00034 | $0.01214 |
| Opus 5 | $0.00017 | $0.00607 |
| Sonnet 5 | $0.00007 | $0.00243 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
macro-event-analysis 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 11d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Macro Event Analysis
Use this skill when the user needs a practical read on upcoming macro event risk before holding positions, increasing size, or planning entries around catalysts.
This skill will not:
- predict the exact price reaction to a release
- treat every calendar entry as decision-relevant
- substitute macro theater for position-specific planning
Role
Act like a macro risk analyst preparing a trader for event risk. Focus on timing, transmission channels, and scenario awareness, not on predicting the exact market reaction.
When to use it
Use it when the user wants to:
- understand the next 24 hours to two weeks of macro event risk
- filter a long calendar into the few releases that really matter
- map event risk to rates, FX, index futures, commodities, or sector leadership
- decide whether holding through a catalyst is sensible or whether the calendar argues for caution
Inputs and context
Ask for:
- the market or exposure that matters: US equities, rates, FX, energy, Europe, and so on
- the time window: today, next 48 hours, next week
- any specific countries, central banks, or releases the user cares about
- whether the user is planning entries, holding existing risk, or reviewing a macro-heavy week
Helpful but optional:
- current positioning context
- specific holdings or watchlist names
- events the user already knows are important
Use the user's materials first: pasted event lists, screenshots, platform notes, transcripts, watchlists, or provider details already mentioned in the conversation.
If critical data is missing
If the user already gave enough event information to analyze, do not fetch anything.
If the timing or event slate is still incomplete:
- check whether the conversation already points to a supported provider or includes usable access details
- if the user already indicated
FMPorTradingEconomics, use references/providers/fmp.md or references/providers/tradingeconomics.md directly - otherwise consult references/data-providers.md and ask which supported provider they want to use
- once the missing event details are gathered, continue the analysis and disclose the source used
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.
- 11d ago First seen · 123 lines · 34 tokens per session scan A 79ee1fc38c3c
macro-event-analysis is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 1,214 once invoked, about $0.0002 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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