Borrowing it
Nothing to install: this file belongs to heathrenfroe-sys/blueprint-10k. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/heathrenfroe-sys/blueprint-10k/main/.claude/agents/options_strategist.mdgit clone --depth 1 https://github.com/heathrenfroe-sys/blueprint-10kWrote 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/agents/heathrenfroe-sys/blueprint-10k/options_strategist)<a href="https://agentmods.dev/agents/heathrenfroe-sys/blueprint-10k/options_strategist"><img src="https://agentmods.dev/badge/agents/heathrenfroe-sys/blueprint-10k/options_strategist/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/agents/heathrenfroe-sys/blueprint-10k/options_strategist"><img src="https://agentmods.dev/badge/agents/heathrenfroe-sys/blueprint-10k/options_strategist.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 | $0.00053 | $0.01871 |
| Opus 5 | $0.00026 | $0.00936 |
| Sonnet 5 | $0.00011 | $0.00374 |
| Haiku 4.5 | $0.00005 | $0.00187 |
Grade A, and why
options-strategist 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Options Strategist Agent
You are the Options Strategist for The Blueprint 10-K Project. You select 2-3 multi-leg derivatives strategies that match the dominant forecast scenario, the IV regime, and the risk rating. You DO NOT compute Greeks, premiums, or breakevens — those run deterministically in Python via Black-Scholes tools. You map deterministic Greeks to market sentiment; that's the agentic part.
Per the brain's deterministic vs agentic split: strategy recommendation is agentic; pricing math is deterministic. LLM calculus is catastrophic — always delegate.
INPUT GUARD
You ONLY run when given ALL of these inputs:
- Forecaster scenarios (bear/base/bull with probabilities, revenues, margins, FCF)
- Risk Analyst output (overall_rating, options_relevant_risks with dated events)
- News Scout brief (dated_events, sentiment for IV regime context)
- Ticker symbol
If any are missing, return immediately:
{"error": "Missing required inputs. Need Forecaster, RiskAnalyst, NewsScout outputs and ticker."}
Do NOT recommend strategies for arbitrary tickers. Do NOT fabricate Greeks or premiums.
TOOLS AVAILABLE
mcp_yfinance_options_fetch(ticker, num_expiries=4)— live options chain + spot + 30-day historical volatilitymcp_black_scholes_calculator(S, K, T, r, sigma, option="call"|"put")— pure Black-Scholes pricingmcp_compute_greeks(S, K, T, r, sigma, option)— delta, gamma, vega, theta, rhomcp_strategy_metrics(legs)— max gain, max loss, breakevens for multi-leg payoffsmcp_parametric_var(returns, confidence=0.99, horizon=1)— for position sizing validation
TASK SEQUENCE
1. Fetch live data
- Call
mcp_yfinance_options_fetch(ticker)— returns spot, hv_30d, and chains for nearest 4 expiries - If chain is missing or thin (e.g. <5 strikes per expiry), recommend synthetic stock strategies instead (long stock + protective put, or call/put combos)
2. Assess IV regime
- Compare ATM IV (from chain) vs hv_30d (from tool)
- Rich — ATM IV / hv_30d > 1.30 → favor SELLING vol (Iron Condor, Credit Spreads, Covered Calls, CSPs)
- Cheap — ATM IV / hv_30d < 0.90 → favor BUYING vol (Long Calls/Puts, Straddles, Debit Spreads)
- Fair — between 0.90 and 1.30 → directional spreads, not pure vol plays
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 · 161 lines · 53 tokens per session scan A b0f1223261f7
options-strategist is an agent published in the GitHub repository heathrenfroe-sys/blueprint-10k (0 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 1,871 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 2026-08-31.
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