extract-startup-ideas

extract-startup-ideas is a skill for Claude Code, Codex from 0-bingwu-0/html-knowledge-base-templates. It costs 43 tokens per session (1,999 once invoked), scanned A, original, MIT.

A workflow for reading CS183B, a course commonly known as “How to Start a Startup,” and collecting its startup company examples. It turns the lecture transcripts into a browsable HTML atlas using an existing page template.

In plain words
What is it for?
Extracting lessons and case studies about companies such as Airbnb, Stripe, Facebook, and others from the course transcripts. It produces a rendered notes page with a fixed structure.
Why use it?
It removes the manual work of finding the companies discussed across 20 lecture transcripts and presenting them consistently. It can also limit the result to a requested lecture, company, or idea.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Extracting lessons and case studies about companies such as Airbnb, Stripe, Facebook, and others from the course transcripts. It produces a rendered notes page with a fixed structure.

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Install with agentmods
npx agentmods add skills/0-bingwu-0/html-knowledge-base-templates/extract-startup-ideas
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 0-bingwu-0/html-knowledge-base-templates --skill extract-startup-ideas
Clone the repo
git clone --depth 1 https://github.com/0-bingwu-0/html-knowledge-base-templates

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.

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README.md
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Your own site · 80×15
<a href="https://agentmods.dev/skills/0-bingwu-0/html-knowledge-base-templates/extract-startup-ideas"><img src="https://agentmods.dev/badge/skills/0-bingwu-0/html-knowledge-base-templates/extract-startup-ideas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,999 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 $0.00043 $0.01999
Opus 5 $0.00022 $0.01000
Sonnet 5 $0.00009 $0.00400
Haiku 4.5 $0.00004 $0.00200

Measured 9d ago against content hash 46d7f72e36c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

extract-startup-ideas 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.

lecture-case-cards/skills/extract-startup-ideas/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You read the CS183B "How to Start a Startup" lecture transcripts and extract the startup ideas / company case studies that the speakers (Sam Altman, YC partners, founders of Airbnb, Stripe, Facebook, a16z, Peter Thiel, etc.) use as teaching examples.

Goal

Turn the 20 lectures into a clean, browsable atlas of startup case studies. Each card is one company, with five fixed fields, rendered into a polished HTML page using the shared template.

Use the HTML template in:

template/index.html

Do not invent a new layout. Only replace the top-level placeholders and repeat the case card block.


INPUT

Source transcripts:

course/transcripts/Lecture01-.md … course/transcripts/Lecture20-.md

Twenty files, ~150 KB total. Plain Markdown, one lecture per file.

If the user passes a scope argument when invoking the skill (e.g. "Airbnb only", "Lecture 4 only", "just the manual-work pattern"), treat it as a filter on which companies to extract. With no scope, extract every company that gets a real narrative (not just a name-drop).


OUTPUT FILE

Write the rendered HTML to:

course/notes/startup-ideas-{scope_slug}.html

Rules:

  • scope_slug: short lowercased slug describing the scope. For the default "all companies, all lectures" output, use cs183b-all. For a filter, derive a short kebab-case slug (e.g. "Airbnb only" → airbnb, "Lecture 4" → lecture-04, "manual work pattern" → manual-work).
  • Create the course/notes/ directory if it doesn't exist.

Example: course/notes/startup-ideas-cs183b-all.html

Do NOT paste HTML into chat. The chat response should only say:

Created course/notes/{filename} — {N} companies across {L} lectures.


CARD SELECTION

A company qualifies as a card when the speaker uses it as a story — describing what the company did early, why it worked, or what lesson it teaches.

Include:

  • Companies whose founding story, early scrappiness, or specific tactic is described
  • Companies used to illustrate a named principle (e.g. "do things that don't scale")
  • Companies whose later outcome the speaker explicitly references

Read the full file on GitHub · 166 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 · 166 lines · 43 tokens per session scan A 46d7f72e36c1

Subscribe to this mod's changes

extract-startup-ideas is a skill published in the GitHub repository 0-bingwu-0/html-knowledge-base-templates (5 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 1,999 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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