breadth-audit

breadth-audit is a skill for Claude Code, Codex from austin-starks/Public-Portfolio-Challenge. It costs 104 tokens per session (981 once invoked), scanned A, original, MIT.

A check of how many different options positions an investment book can actually hold using a fixed starting amount of capital. It avoids overstating participation by counting positions created only after the account has grown.

In plain words
What is it for?
Use it to test an options strategy's real diversification, investigate a book that collapses to one holding, and measure positions at a fixed $25,000 capital base.
Why use it?
A backtest can appear to hold many names over time even when the original capital could afford only one or two at once.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to test an options strategy's real diversification, investigate a book that collapses to one holding, and measure positions at a fixed $25,000 capital base.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/austin-starks/public-portfolio-challenge/breadth-audit
Install

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.

Any agent
npx skills add austin-starks/Public-Portfolio-Challenge --skill breadth-audit
Clone the repo
git clone --depth 1 https://github.com/austin-starks/Public-Portfolio-Challenge

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for breadth-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/austin-starks/public-portfolio-challenge/breadth-audit/github.svg)](https://agentmods.dev/skills/austin-starks/public-portfolio-challenge/breadth-audit)
Your own site
<a href="https://agentmods.dev/skills/austin-starks/public-portfolio-challenge/breadth-audit"><img src="https://agentmods.dev/badge/skills/austin-starks/public-portfolio-challenge/breadth-audit/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.

agentmods 80×15 button for breadth-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/austin-starks/public-portfolio-challenge/breadth-audit"><img src="https://agentmods.dev/badge/skills/austin-starks/public-portfolio-challenge/breadth-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 981 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00104 $0.00981
Opus 5 $0.00052 $0.00491
Sonnet 5 $0.00021 $0.00196
Haiku 4.5 $0.00010 $0.00098

Measured 12d ago against content hash 3523809c8e3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

breadth-audit 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (install.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/breadth-audit/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fixed-Capital Breadth Audit

Breadth is measured at FIXED $25k, never inferred from a compounded backtest. This is the whole point of the participation lesson: a headline like "19/21 names" is almost always an artifact.

The breadth illusion

"19/21 names" on a full-cycle run means nothing — it is NAV compounding + distinct-names-over-time. A book that compounds to $300k notional will touch many names across the run while, at cold-start $25k, it funds only the cheapest one or two and strands the rest. The live proof of this: a certified book that "held 19/21" deployed live and only bought OSCR, because at $25k a 5%-per-name budget ($1,200–1,450) only ever afforded the cheapest underlying's LEAP.

Root cause pattern: at low NAV a per-name budget affords only the cheapest name's contract, and the sizing policy strands the budget on unaffordable top-weighted names instead of flowing it to the next affordable one → the book collapses to one name.

How to measure

Use mcp__nexustrade__audit_backtest_breadth at a held-fixed capital base (don't let the run compound). Capture, per the current config:

  • simultaneous distinct names held (the headline number — lead with it),
  • participation,
  • distinctNamesFilled,
  • per-name cannotAfford counts.

Run it on the 12-month window and separately on the full cycle. For a live collapse, also pull query_portfolio_events (OptionResolutionAttempt) to see the "Cannot afford even 1 contract" rejections and which names cleared — that is the live evidence.

SelectTop truncates BEFORE affordability

SelectTop N truncates the candidate pool before the affordability backfill runs. A narrow top-N re-creates the single-name collapse — which is exactly why the certified incumbent is top-21 (21 of 21 never truncates, so the rank ORDER only decides funding priority, never membership). If you narrow SelectTop, re-run this audit.

The breadth gate (in certification)

A variant must not degrade cold-start participation vs the incumbent. Concretely for a participation-repair campaign: simultaneous distinct names ≥ target, participation ≥ ~0.5, cannotAfford sharply down vs the before state. A config that certifies but still funds one name is a non-answer — breadth without gain and gain without breadth both FAIL a participation attempt.

Read the full file on GitHub · 76 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 76 lines · 104 tokens per session scan A 3523809c8e3b

Subscribe to this mod's changes

breadth-audit is a skill published in the GitHub repository austin-starks/Public-Portfolio-Challenge (44 stars, last pushed 4d ago), licensed MIT. It adds 104 tokens to every session and 981 once invoked, about $0.0005 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 2026-08-30.

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