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 portfolio-hedginggit 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/portfolio-hedging)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/portfolio-hedging"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/portfolio-hedging/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/portfolio-hedging"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/portfolio-hedging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00751 |
| Opus 5 | $0.00021 | $0.00376 |
| Sonnet 5 | $0.00008 | $0.00150 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
portfolio-hedging 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- position-sizing — 86% identical, 8 lines differ
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.
Portfolio Hedging
Portfolio strategy analysis powered by spec 037 L3 knowledge base.
Preflight
Run the canonical pre-flight sequence. See contracts/preflight.md.
Data Source Priority
- Knowledge entries (L3 strategy frameworks) → 2.
search_by_analoguefor strategy cases → 3. XBRL facts (position/portfolio context)
Protocol
- Strategy Framework — apply L3 frameworks from
references/knowledge-frameworks.md - Analogue Retrieval — query historical cases matching the strategy pattern
- Quantitative Analysis — compute relevant metrics using XBRL + knowledge frameworks
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}_portfolio-hedging_{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. Strategy Framework 3. Quantitative Analysis 4. Historical Analogues 5. Risk Assessment 6. Scenarios
What ships with it
3 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 · 42 tokens per session scan A 1b6d8c32323f
portfolio-hedging is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 751 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 2026-09-05.
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