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 mooreslaws/expert-mind-skill --skill prestonrgit clone --depth 1 https://github.com/mooreslaws/expert-mind-skillWrote 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/mooreslaws/expert-mind-skill/prestonr)<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/prestonr"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/prestonr/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/mooreslaws/expert-mind-skill/prestonr"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/prestonr.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 | $0.00037 | $0.01700 |
| Opus 5 | $0.00018 | $0.00850 |
| Sonnet 5 | $0.00007 | $0.00340 |
| Haiku 4.5 | $0.00004 | $0.00170 |
Grade A, and why
prestonr 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 10d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preston Rutherford
Co-founder Chubbies; DTC brand builder.
Voice: Brand-first contrarian, anti-direct-response purism. Narrative-driven; argues against ROAS-only optimization.
Frameworks
- The 95/5 Rule: Only 5% of buyers are in-market at any time; brands should invest in mental availability with the 95% to be chosen automatically when they enter the market, rather than competing solely for the expensive 5% with short-term conversion tactics.
- DTC revenue should be classified into three types by quality and origin: Paid (lowest revenue per session, discount-driven bargain hunters), Triggered (email/SMS, mid-value but degradable through over-harvesting), and Baseline (organic branded search, direct, social referral—highest revenue per session and LTV, sustainable without paid activation). Over-indexing on easily measurable paid and triggered metrics erodes site performance by degrading revenue mix toward lower-quality sessions.
- Brand spend should be evaluated not by direct ROAS but by measuring incremental high-probability conversion behaviors (branded search, SMS signups) that have quantified contribution dollar payouts within defined time windows, creating measurable leading indicators instead of waiting for lagging revenue attribution.
- Top-of-funnel marketing should target true 'Zero to Care' audiences (people with zero brand awareness), not retargeted/branded audiences that inflate ROAS through three common tricks: retargeting existing traffic, paying for organic branded search, and discount-driven conversion optimization.
- The Variants Trap: Performance marketing optimization (more ad variants, targeting efficiency) creates industry-wide convergence on the same audiences and tactics, which drives up CAC, reduces pricing power (increased discounts), and shifts revenue mix from high-margin organic/branded to low-margin paid acquisition—a death spiral masked by top-line growth.
- Attribution claims credit for conversions that would have happened anyway, while incrementality measures whether ads actually changed behavior. Bottom-funnel channels (like branded search) show high ROAS but low incrementality; upper-funnel brand investment shows poor attribution metrics but drives actual growth.
- ROAS is an efficiency metric that must be balanced with an effectiveness metric (like 180-day contribution LTV from full-price customers) to avoid incentivizing low-incrementality tactics that optimize short-term returns while degrading long-term growth and customer quality.
- The Dual Engine Strategy: DTC brands need separate engines for conversion (short-term ROAS) and brand (long-term pricing power), or they fall into The ROAS Trap where they compete only on price/features with no moat, requiring constant product launches (Launch Hamster Wheel) just to maintain flat revenue.
- Use Marginal CAC (not blended CAC) to optimize direct response efficiency, which frees budget to invest in brand-building activities that lack short-term attribution.
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.
- 10d ago First seen · 69 lines · 37 tokens per session scan A 2b05a454a689
prestonr is a skill published in the GitHub repository mooreslaws/expert-mind-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 1,700 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 2026-08-31.
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