Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/yuping322/financial-services-plugins-newnpx agentmods add commands/yuping322/financial-services-plugins-new/analyze-option-volWrote 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/commands/yuping322/financial-services-plugins-new/analyze-option-vol)<a href="https://agentmods.dev/commands/yuping322/financial-services-plugins-new/analyze-option-vol"><img src="https://agentmods.dev/badge/commands/yuping322/financial-services-plugins-new/analyze-option-vol/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/commands/yuping322/financial-services-plugins-new/analyze-option-vol"><img src="https://agentmods.dev/badge/commands/yuping322/financial-services-plugins-new/analyze-option-vol.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 | $0.00015 | $0.00523 |
| Opus 5 | $0.00008 | $0.00262 |
| Sonnet 5 | $0.00003 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
analyze-option-vol 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 7d 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
Analyze Option Volatility
This command uses LSEG volatility surfaces, option pricing, and historical data tools. See CONNECTORS.md for available tools.
Analyze the volatility environment for an underlying by generating the vol surface, pricing options with full Greeks, and comparing implied vs realized volatility.
See the option-vol-analysis skill for domain knowledge on vol surface interpretation and Greeks analysis.
Workflow
1. Gather Input
Ask the user for:
- Underlying asset (required):
- Equities/indices: RIC format (e.g., "VOD.L@RIC", ".SPX@RIC")
- Futures: RICROOT format (e.g., "ES@RICROOT", "CL@RICROOT")
- FX: ISO pair (e.g., "EURUSD", "USDJPY")
- Strike price (optional, defaults to ATM)
- Expiry date or tenor (optional, defaults to 3M)
- Call or Put (optional, defaults to both)
Determine whether this is equity/index or FX to select the correct vol surface tool.
2. Generate the Volatility Surface
For equities/indices/futures: Call equity_vol_surface.
For FX: Call fx_vol_surface.
Extract: ATM vol at each tenor, 25-delta risk reversal, 25-delta butterfly.
3. Discover Option Templates
Call option_template_list for the underlying. Identify available types, expiries, and strikes.
4. Price the Option
Call option_value with the underlying, strike, and expiry.
Extract: premium, delta, gamma, vega, theta, implied vol.
5. Compute Realized Volatility
Call tscc_historical_pricing_summaries with interval: "P1D", tenor: "1Y".
Compute close-to-close realized vol over 20-day, 60-day, 90-day windows. Compare to matching implied vol tenors.
6. Synthesize the Report
Present: vol surface summary table, Greeks table, implied vs realized comparison, vol regime assessment, strategy recommendations.
Output Format
Lead with the key vol finding (implied rich/cheap vs realized). Follow with the surface summary, option pricing, and detailed comparison.
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.
- 7d ago First seen · 60 lines · 15 tokens per session scan A de693c408f21
analyze-option-vol is a command published in the GitHub repository yuping322/financial-services-plugins-new (17 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 523 once invoked, about $0.0001 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 2026-09-03.
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