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 position-sizinggit 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/position-sizing)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/position-sizing"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/position-sizing/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/position-sizing"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/position-sizing.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 | $0.00034 | $0.00741 |
| Opus 5 | $0.00017 | $0.00370 |
| Sonnet 5 | $0.00007 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
position-sizing 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 4d 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
86% identical to portfolio-hedging — 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.
Position Sizing
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}_position-sizing_{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
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.
- 4d ago First seen · 109 lines · 34 tokens per session scan A ace9a90f32dc
position-sizing is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (203 stars, last pushed 5d ago), licensed Apache-2.0. It adds 34 tokens to every session and 741 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to portfolio-hedging, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
deal-packet
Produce the full institutional deal packet for a deal — Excel underwriting model + Word IC memo + PowerPoint deck + PDF one-pager — all Bristol-branded, fully cited, and cross-linked to one sources registry. Use when the user says "build the packet," "full workup," "put together the IC package," "model this deal," or…
deal-memo
Assemble research into a polished investment committee memo, market study, or deal one-pager. Use when the user says "write the memo," "put together an IC memo," "make a one-pager," "turn this into a document for the committee/lenders/LPs," or wants research packaged into a deliverable.
deal-pipeline
Track deals across stages and produce status updates. Use when the user says "track this deal," "what's in my pipeline," "update the status on [deal]," "give me a pipeline summary," or wants an overview of what's moving.
investor-sourcing
Research capital partners and LPs for a raise, and research who owns or controls a parcel or entity and how to contact them. Use when the user says "find investors," "who could fund this," "research this capital partner," "who owns this land/parcel," "who's behind this LLC," or needs investor/owner background and…
market-comp-analysis
Pull rent comps, occupancy, supply pipeline, absorption, and cap-rate trends for a submarket, then build a market study. Use when the user asks for "comps," "rent comps," "market study," "what are rents doing," "cap rates," "what's the competition," or needs the market picture behind a deal.
underwriting-research
Research the real-world assumptions behind a multifamily underwriting model — achievable rents, operating expenses, taxes, insurance, construction/hard costs, and available incentives. Use when the user says "check my assumptions," "what should I underwrite for," "research expenses/taxes/insurance/construction costs,"…