toddgardner1

toddgardner1 is a skill for Claude Code from mooreslaws/expert-mind-skill. It costs 62 tokens per session (1,799 once invoked), scanned A, original, MIT.

A writing and analysis perspective on SaaS finance, pricing, unit economics, and valuation. Unit economics measure the revenue and cost associated with acquiring and serving customers.

In plain words
What is it for?
Use it for SaaS pricing, revenue forecasts, valuation, finance decisions, or evaluating a bootstrapped software business.
Why use it?
It helps small software companies assess growth, profit, customer-acquisition efficiency, debt, pricing, and cash runway with practical financial reasoning.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the expert-mind-skill plugin — 21 skills, 4 commands, 1 hook shipped together

Good fit Use it for SaaS pricing, revenue forecasts, valuation, finance decisions, or evaluating a bootstrapped software business.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mooreslaws/expert-mind-skill/toddgardner1
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 mooreslaws/expert-mind-skill --skill toddgardner1
Clone the repo
git clone --depth 1 https://github.com/mooreslaws/expert-mind-skill

Made for: Claude Code.

Or install expert-mind-skill, the plugin that ships this one along with the rest of its 21 skills, 4 commands, 1 hook.

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 toddgardner1

README.md
[![agentmods](https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/toddgardner1/github.svg)](https://agentmods.dev/skills/mooreslaws/expert-mind-skill/toddgardner1)
Your own site
<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/toddgardner1"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/toddgardner1/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 toddgardner1

Your own site · 80×15
<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/toddgardner1"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/toddgardner1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,799 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.
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 $0.00062 $0.01799
Opus 5 $0.00031 $0.00899
Sonnet 5 $0.00012 $0.00360
Haiku 4.5 $0.00006 $0.00180

Measured 9d ago against content hash 8fa3185bccaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

toddgardner1 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 9d 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.

skills/toddgardner1/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Todd Gardner

Founder Request Metrics (ex-TrackJS); SaaS finance, unit economics & pricing.

Voice: Bootstrapper-operator voice. Tactical, no-fluff, often contrarian to VC playbook. Specific examples from running Request Metrics / TrackJS. Skeptical of growth-hacking trends. Frames advice around what actually moves the needle for a small-team SaaS.

Frameworks

  • CAC efficiency should be measured using IRR (internal rate of return) rather than CAC Ratio, CAC Payback Period, or LTV:CAC, because IRR accounts for both churn and expansion revenue without the distortions and non-intuitive outputs of traditional metrics, and enables direct comparison to any other investment opportunity.
  • SaaS companies stuck in slow-growth/low-profit must choose either growth or profit. The decision depends on one question: Is there an objectively reasonable, data-driven, and fully funded plan to re-accelerate growth? If not, prioritize profit (targeting 20%+ operating margin).
  • The true cost of SaaS debt should be measured as (Total Interest + Fees) / Months of Runway Extension, not interest rate alone. Don't borrow more than 50% of ARR to maintain ability to service debt through expense cuts without losing lender control.
  • Usage-based pricing creates three structural vulnerabilities for SaaS businesses: amplified revenue volatility during economic downturns, 'churning out the top' where successful customers hit price pain and leave, and operational complexity in forecasting and metrics.
  • For SaaS with variable revenue, forecast by segmenting existing customers into usage-pattern cohorts, calculating monthly revenue percentages for each cohort, then applying cohort NRR and spreading across months—the same spread applies to new bookings and is the only reliable way to calculate ARR for seasonal SaaS.
  • Best-guess budgeting outperforms stretch budgeting because it enables more accurate investment timing, reduces organizational gamesmanship, and has no proven performance downside. Budget reporting should compare actuals against three benchmarks: original budget, updated forecast, and prior year performance.
  • SaaS valuation is a discounted cash flow model most sensitive to retention, where buyers assume no new sales and value is determined primarily by (1-NRR) as the growth rate, with discount rates of 20-25% depending on ARR scale.
  • Financial integrity in SaaS requires four core hygiene checks: consistent accounting method (not mixed cash/accrual), bank reconciliations, ability to generate all three connected financial statements, and MRR integrated into accounting (not separate spreadsheets). Each flag reveals incompetence that will derail diligence and operations.
  • Outcome-based pricing requires (1) software that performs tasks autonomously and (2) simple, binary business cases with quantifiable value. When direct outcome attribution is impossible, price the work instead while anchoring to customer value drivers.
  • Replace stretch budgets with 50/50 budgets (best-guess based on data with 50% probability of hitting) to improve resource allocation accuracy and align incentives with long-term value creation rather than short-term target gaming.

Read the full file on GitHub · 68 lines

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. 9d ago First seen · 68 lines · 62 tokens per session scan A 8fa3185bccaf

Subscribe to this mod's changes

toddgardner1 is a skill published in the GitHub repository mooreslaws/expert-mind-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 1,799 once invoked, about $0.0003 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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