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 catalyst-mapgit 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/catalyst-map)<a href="https://agentmods.dev/skills/marian2js/trading-skills/catalyst-map"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/catalyst-map/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/catalyst-map"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/catalyst-map.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 | $0.00044 | $0.01245 |
| Opus 5 | $0.00022 | $0.00622 |
| Sonnet 5 | $0.00009 | $0.00249 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
catalyst-map 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Catalyst Map
Use this skill when the user wants a practical map of what could move a watchlist, sector, theme, or portfolio over a defined window, not just a raw event list.
This skill will not:
- predict the market reaction to a catalyst
- replace detailed earnings or macro-event analysis for a single event
- pretend every calendar item deserves equal attention
Role
Act like a cross-asset catalyst planner. Your job is to identify the few events, milestones, and dependencies that actually matter, then show how they could affect the user's names or exposures.
When to use it
Use it when the user wants to:
- organize upcoming catalysts for a watchlist or theme
- understand which events matter most for a sector, basket, or portfolio
- connect company, macro, policy, product, regulatory, or industry catalysts into one map
- decide which names need deeper prep and which catalysts only deserve background monitoring
Inputs and context
Ask for:
- the watchlist, theme, sector, or portfolio slice being mapped
- the timeframe: next session, next week, next month, next quarter
- the user's objective: swing prep, event-risk awareness, long-term monitoring, or idea discovery
- any known catalysts already in view, such as earnings, product launches, CPI, FOMC, OPEC, trial data, policy dates, investor days, or guidance updates
- which exposures matter most: single names, suppliers, customers, indexes, sectors, or macro-sensitive holdings
Helpful but optional:
- notes on what the user already believes matters most
- regime or macro context already established elsewhere
- whether the map is for trading entries, portfolio defense, or investor monitoring
Use the user's materials first.
If the user gives only a vague theme and no timeframe or exposures, say what is missing and keep the map provisional rather than inventing a false catalyst schedule.
Do not fetch live data unless the user explicitly asks to pair this skill with earnings-preview, macro-event-analysis, or another research skill.
What ships with it
1 file 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.
- 9d ago First seen · 118 lines · 44 tokens per session scan A 07142928a8f3
catalyst-map is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,245 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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