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 agentmods add skills/staskh/trading_skills/spread-analysisnpx skills add staskh/trading_skills --skill spread-analysisgit clone --depth 1 https://github.com/staskh/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/staskh/trading_skills/spread-analysis)<a href="https://agentmods.dev/skills/staskh/trading_skills/spread-analysis"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/spread-analysis.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00507 |
| Opus 5 | $0.00025 | $0.00253 |
| Sonnet 5 | $0.00010 | $0.00101 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
spread-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 5d 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.
What it actually says
Spread Analysis
Analyze multi-leg option strategies.
Instructions
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/spreads.py SYMBOL --strategy STRATEGY --expiry YYYY-MM-DD [options]
Strategies and Options
Vertical Spread (bull/bear call/put spread):
uv run python scripts/spreads.py AAPL --strategy vertical --expiry 2026-01-16 --type call --long-strike 180 --short-strike 185
Straddle (long call + long put at same strike):
uv run python scripts/spreads.py AAPL --strategy straddle --expiry 2026-01-16 --strike 180
Strangle (long call + long put at different strikes):
uv run python scripts/spreads.py AAPL --strategy strangle --expiry 2026-01-16 --put-strike 175 --call-strike 185
Iron Condor (sell strangle + buy wider strangle):
uv run python scripts/spreads.py AAPL --strategy iron-condor --expiry 2026-01-16 --put-short 175 --put-long 170 --call-short 185 --call-long 190
Output
Returns JSON with:
strategy- Strategy name and legscost- Net debit or creditmax_profit- Maximum potential profitmax_loss- Maximum potential lossbreakeven- Breakeven price(s)probability- Estimated probability of profit (based on IV)
Explain the risk/reward and when this strategy is appropriate.
Dependencies
pandasyfinance
Timezone
All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
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.
- 5d ago First seen · 61 lines · 50 tokens per session scan A 644c04c3f4a1
spread-analysis is a skill published in the GitHub repository staskh/trading_skills (355 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 507 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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