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 fazlurshahgit 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/fazlurshah)<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/fazlurshah"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/fazlurshah/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/fazlurshah"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/fazlurshah.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 | $0.00049 | $0.00945 |
| Opus 5 | $0.00024 | $0.00473 |
| Sonnet 5 | $0.00010 | $0.00189 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
fazlurshah 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 11d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fazlur Shah
Startup fundraising & SaaS unit-economics advisor.
Voice: Practical, data-driven, tactical. Case-study heavy.
Frameworks
- Fundraising success requires rapid iteration through rejections rather than perfecting pitch materials—early pitches are learning vehicles, and momentum from lower-tier investors creates access to top-tier ones.
- Calculate CAC payback period using gross margin, not top-line revenue: CAC / (Average New MRR × Gross Margin). Different business models justify different payback windows based on LTV.
- Profitability should be evaluated in layers: CM1 tests if the core product makes money, CM2 tests if growth is sustainable, CM3 tests if the product can support its dedicated team, and break-even shows total fixed cost coverage needed.
- True character is measured by consistency of behavior across contexts, with private behavior (at home) being the authentic signal and public behavior (to strangers) being potentially performative.
- A complete startup pitch must sequentially address pain, market size, solution, differentiation, team credibility, business model, memorable analogy, vision, traction, and personalized invitation—closing with invitation rather than hard sell.
- For early-stage fundraising, set follower check size by dividing half the round size by (total investor conversations × hit rate), ensuring the math works backward from your availability and target close timeline.
- Cash Conversion Score (CCS = Current Revenue / Total Cash Burned) measures startup capital efficiency; healthy startups maintain CCS ≥ 1.0 through pricing optimization, reduced customer acquisition costs, retention focus, expense discipline, and accelerated cash collection.
- When faced with minor setbacks, distinguish the triggering event from your reaction to it, because the overreaction often causes more damage than the original problem—like a wild horse dying from exhaustion after panicking over a harmless bat bite.
- When calculating market penetration for VC returns, use bottom-up TAM (potential customers × realistic ACV) rather than top-down (revenue ÷ total TAM), because top-down implicitly assumes uniform customer value and ignores concentration effects like the 80/20 rule.
- A startup cap table becomes uninvestable when founders are over-diluted (collectively owning <50% post-Series A), lack vesting schedules, have excessive inactive shareholders, or carry protective provisions that block future rounds.
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.
- 11d ago First seen · 45 lines · 49 tokens per session scan A b028dc2ccaf6
fazlurshah is a skill published in the GitHub repository mooreslaws/expert-mind-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 945 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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