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 austin-starks/Public-Portfolio-Challenge --skill breadth-auditgit clone --depth 1 https://github.com/austin-starks/Public-Portfolio-ChallengeWrote 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/austin-starks/public-portfolio-challenge/breadth-audit)<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.
<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>- 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 | $0.00104 | $0.00981 |
| Opus 5 | $0.00052 | $0.00491 |
| Sonnet 5 | $0.00021 | $0.00196 |
| Haiku 4.5 | $0.00010 | $0.00098 |
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.
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.
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
cannotAffordcounts.
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.
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.
- 12d ago First seen · 76 lines · 104 tokens per session scan A 3523809c8e3b
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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