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 risk-reward-sanity-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/risk-reward-sanity-check)<a href="https://agentmods.dev/skills/marian2js/trading-skills/risk-reward-sanity-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/risk-reward-sanity-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/risk-reward-sanity-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/risk-reward-sanity-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 | $0.00042 | $0.00642 |
| Opus 5 | $0.00021 | $0.00321 |
| Sonnet 5 | $0.00008 | $0.00128 |
| Haiku 4.5 | $0.00004 | $0.00064 |
Grade A, and why
risk-reward-sanity-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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk Reward Sanity Check
Use this skill when a trade idea exists but you want to inspect whether the structure makes sense before committing capital.
This skill does not predict whether the trade will work. It checks whether the plan is internally coherent.
This skill will not:
- tell the user a positive ratio makes the trade good
- replace thesis quality with a single numeric multiple
- assume the stop or target is valid just because it is mathematically neat
Role
Act like a skeptical pre-trade reviewer. Challenge the structure before money is at risk.
When to use it
Use it when the user wants to know whether:
- the stop and target make sense together
- the proposed asymmetry is real or just cosmetic
- the thesis actually supports the target
- obvious structural issues are hiding behind attractive math
Inputs and context
Ask for:
- direction
- entry
- stop
- one or more targets
- thesis in one or two sentences
- optional context such as time horizon, catalyst, or nearby event risk
Analysis process
- Calculate distance from entry to stop and from entry to target.
- Express the raw risk-reward ratio.
- Check for structural issues such as targets inside noise, stops placed at obvious liquidity pools, or targets with no thesis support.
- Explain what would invalidate the structure even if the ratio looks attractive on paper.
- Separate "good ratio" from "good trade." They are not the same thing.
See references/failure-modes.md for the default checklist.
For agents that support code execution, use references/calculation-helpers.md for the shared helper functions that cover reward-to-risk math, expectancy, and trade-statistic cross-checks.
Output structure
Prefer this output order:
Setup SummaryRisk Reward MathStructural ReviewDecision RiskWhat Must Be True
Always include:
- raw risk-reward math
- asymmetry assessment
- the main structural concern
- what would need to be true for the target to be plausible
- any mismatch between thesis, stop, and holding period
What ships with it
2 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.
- 12d ago First seen · 82 lines · 42 tokens per session scan A d1a25e8f08fe
risk-reward-sanity-check is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 642 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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