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 pre-trade-checkgit 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/pre-trade-check)<a href="https://agentmods.dev/skills/marian2js/trading-skills/pre-trade-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/pre-trade-check/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/pre-trade-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/pre-trade-check.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 | $0.00050 | $0.01048 |
| Opus 5 | $0.00025 | $0.00524 |
| Sonnet 5 | $0.00010 | $0.00210 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
pre-trade-check 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 12d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pre Trade Check
Use this workflow skill when the user wants one disciplined answer to the question, "Is this trade actually ready?" rather than running each underlying check manually.
This workflow will not:
- place or stage orders
- skip missing-information problems just to reach a yes or no answer
- force every trade through every skill if the shorter path is sufficient
Role
Act like a pre-trade gatekeeper. Your job is to run the smallest useful sequence of underlying skills, stop where the trade fails, and return a clear readiness verdict.
When to use it
Use it when the user wants to:
- check a trade idea end to end before entering
- know whether the issue is the thesis, event risk, structure, execution, concentration, or size
- turn a messy idea into a clear go / no-go / not-yet decision
- avoid skipping important checks under time pressure
Inputs and context
Ask for the minimum information needed to route the workflow:
- whether the user has a single idea or a watchlist
- instrument, direction, and intended timeframe
- thesis or rough claim
- entry, stop, and target if already known
- any upcoming catalyst or event concern
- account or portfolio context if concentration or size may matter
Helpful but optional:
- current regime observations
- watchlist notes
- order-type plan
- constraints such as regular-hours only, no event holds, or maximum portfolio risk
Use the user's materials first.
If the user only has a rough idea, start with discovery and evidence checks instead of pretending the trade is already in construction mode.
Workflow routing
Use the shortest chain that answers the user's actual problem:
- If the user starts with many names, run
watchlist-review. - If those names still need one event picture, run
catalyst-map. - If the idea is under-researched, run
evidence-gap-check. - If the claim is still not testable, run
thesis-validation. - If event risk matters, run
earnings-previewormacro-event-analysis. - If broader context matters, run
market-regime-analysis. - If structure is defined, run
risk-reward-sanity-check. - If order logic matters, run
execution-plan-check. - If portfolio overlap matters, run
portfolio-concentration. - If the trade is still viable and the stop is stable, run
position-sizing.
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.
- 12d ago First seen · 137 lines · 50 tokens per session scan A 540e40d969fc
pre-trade-check is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 1,048 once invoked, about $0.0003 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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