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 agentii-ai/agentii-investment-intelligence --skill volatility-tradinggit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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/agentii-ai/agentii-investment-intelligence/volatility-trading)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/volatility-trading"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/volatility-trading/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/agentii-ai/agentii-investment-intelligence/volatility-trading"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/volatility-trading.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 | $0.00045 | $0.00743 |
| Opus 5 | $0.00023 | $0.00371 |
| Sonnet 5 | $0.00009 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00074 |
Grade A, and why
volatility-trading 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 6d 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.
This is a copy
88% identical to income-strategies — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| parameter_free | true | This skill has no tunable parameters; analysis scope set by temporal_scope frontmatter |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
Query knowledge entries for relevant frameworks; query search_by_analogue for historical cases.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
See ## Protocol section below.
Volatility Trading
Options analysis powered by spec 037 L3/L4 knowledge base (K7).
Preflight
Run the canonical pre-flight sequence. See contracts/preflight.md.
Data Source Priority
- Knowledge entries (K7 options frameworks) → 2. Options chain (live data) → 3.
search_by_analoguefor relevant cases
Protocol
- Framework Application — apply K7 frameworks from
references/knowledge-frameworks.md - Option Chain Analysis — retrieve and analyze current option data
- Analogue Retrieval — query historical options/volatility cases
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
Query gold.knowledge_entries for frameworks; query search_by_analogue for historical cases.
Temporal Scope
See frontmatter temporal_scope.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
See ## Protocol section below.
Output File
{ticker}/{YYYY-MM-DD_HHMM}_volatility-trading_{affix}.md
Output Structure
- Executive Summary — key findings in 2-3 sentences
- Framework Analysis — applied frameworks with specific findings
- Quantitative Metrics — relevant calculations and benchmarks
- Historical Analogues — matched cases with citations
- Risk Assessment — key risk factors and mitigants
- Coverage Gaps — data limitations and degraded flags
- Executive Summary 2. Framework Analysis 3. Option Greeks & Metrics 4. Historical Analogues 5. Risk Profile 6. Scenarios
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.
- 6d ago First seen · 109 lines · 45 tokens per session scan A d295126ddb09
volatility-trading is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 743 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to income-strategies, differing in 8 lines, and is treated as a copy.
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