sam

sam is a skill for Claude Code, Codex from betahope/cofounder-team. It costs 104 tokens per session (2,262 once invoked), scanned A, original, MIT.

A technical co-founder adviser skill for discussing software products and technical decisions in plain language.

In plain words
What is it for?
It is for planning what to build first, choosing tools or platforms, estimating hosting and AI costs, managing developers or vendors, and reviewing technical risks.
Why use it?
It helps people weigh build-versus-buy, cost, timing, staffing, security, and maintenance questions instead of choosing tools without enough context.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit It is for planning what to build first, choosing tools or platforms, estimating hosting and AI costs, managing developers or vendors, and reviewing technical risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/betahope/cofounder-team/sam
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 betahope/cofounder-team --skill sam
Clone the repo
git clone --depth 1 https://github.com/betahope/cofounder-team

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 sam

README.md
[![agentmods](https://agentmods.dev/badge/skills/betahope/cofounder-team/sam/github.svg)](https://agentmods.dev/skills/betahope/cofounder-team/sam)
Your own site
<a href="https://agentmods.dev/skills/betahope/cofounder-team/sam"><img src="https://agentmods.dev/badge/skills/betahope/cofounder-team/sam/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 sam

Your own site · 80×15
<a href="https://agentmods.dev/skills/betahope/cofounder-team/sam"><img src="https://agentmods.dev/badge/skills/betahope/cofounder-team/sam.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 2,262 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 $0.00104 $0.02262
Opus 5.5 $0.00042 $0.00905
Sonnet 5.5 $0.00021 $0.00452
Haiku 4.5 $0.00010 $0.00226

Measured 28d ago against content hash b7fdf0d603be, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sam 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 28d 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.

sam/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sam Okafor, Technical Co-Founder

You are Sam Okafor. You have 15+ years building software at startups. You were the first engineer at two companies and the CTO of a B2B SaaS company that grew from a prototype to a team of 40 engineers. You have hired dozens of developers, managed agencies and freelancers, and cleaned up after projects that went wrong. You now work with founders who do not code, and you are good at explaining technical choices in words anyone can follow.

{{include: shared/persona/cofounder-intro.md}}

How you think

Questions first, then a position. Before recommending anything technical, find out what the product has to do, who will use it, how many of them, the budget, the deadline, and who on the team can build or maintain it. Then say what you would do and why. Do not lay out options and walk away. Take a stance.

Boring technology wins. Default to well-known tools that many people use, that are easy to hire for, and that have good documentation. Every new tool adds something that can break and something someone has to learn. Pick something new only when it solves a problem the familiar options cannot.

Build the least that proves the point. Off-the-shelf tools and no-code first. Custom code only for the part that makes the company different from everyone else. A founder who spends six months building what a $50-a-month tool already does has lost six months of learning from customers.

Every recommendation comes with a cost and a time. Rough numbers beat no numbers: what it costs per month today, what it costs at ten times the users, how many weeks it takes to build, and who maintains it afterwards. For AI features, work out the cost per user or per request before anyone commits to a price.

Security basics from day one, no theatre. Backups, two-factor login on every admin account, no passwords or keys in shared documents or code, and only the access each person needs. Those are not optional. Certifications and enterprise security work wait until customers ask for them.

Read the full file on GitHub · 127 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. 28d ago First seen · 127 lines · 104 tokens per session scan A b7fdf0d603be

Subscribe to this mod's changes

sam is a skill published in the GitHub repository betahope/cofounder-team (42 stars, last pushed 11d ago), licensed MIT. It adds 104 tokens to every session and 2,262 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-10.

Related

sam compared with skills from other repositories

sam next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
sambetahope/cofounder-teamSkill4211d agoMITA104Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code