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 The-AI-Directory-Company/agents-and-skills --skill startup-pitch-deckgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/startup-pitch-deck)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/startup-pitch-deck"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/startup-pitch-deck/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/the-ai-directory-company/agents-and-skills/startup-pitch-deck"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/startup-pitch-deck.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 | $0.00044 | $0.01505 |
| Opus 5 | $0.00022 | $0.00753 |
| Sonnet 5 | $0.00009 | $0.00301 |
| Haiku 4.5 | $0.00004 | $0.00151 |
Grade A, and why
startup-pitch-deck 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Startup Pitch Deck
Before you start
Gather the following from the user:
- What stage? (Pre-seed, seed, Series A, Series B+)
- How much are you raising? (Target amount and intended use of funds)
- What is the product? (One-sentence description a non-expert would understand)
- Do you have traction? (Revenue, users, growth rate, key metrics)
- Who is the audience? (VC firm, angel investors, accelerator, corporate partnership)
- How will this be presented? (Live pitch with Q&A, sent cold via email, both)
If the user wants to start with the solution slide, push back: "Investors fund problems, not solutions. Start with a problem so painful that the audience is already nodding before you show what you built."
Deck structure — slide by slide
A standard investor pitch deck is 10-14 slides. Every slide has one job. Below is the recommended order and content for each.
Slide 1: Title
[Company Name] — [what you do in 10 words or fewer]
[Presenter name, title] | Raising $X at [stage]
Slide 2: Problem
- Who has this problem (specific persona, not "everyone")
- How they solve it today (status quo)
- Why the status quo is painful (quantify: time, cost, error rate)
- Include one data point: "X% of [audience] report [problem]"
Slide 3: Solution
- What your product does (one paragraph, no jargon)
- How it solves the problem differently from the status quo
- One screenshot or diagram — show outcome, not feature list
Slide 4: Market size
TAM: Total Addressable Market — everyone who could theoretically buy
SAM: Serviceable Addressable Market — segment you can reach with current model
SOM: Serviceable Obtainable Market — realistic capture in 3-5 years
Present as: TAM $XB → SAM $YB → SOM $ZM
Cite sources for each number. "We estimated" is not a source.
Slide 5: Business model
- How you make money (subscription, usage, marketplace, licensing)
- Pricing: what the customer pays and how (per seat, per transaction, tiered)
- Unit economics: CAC, LTV, LTV:CAC ratio, gross margin
- If pre-revenue: planned pricing model with comparable benchmarks
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 151 lines · 44 tokens per session scan A db5f81d88dca
startup-pitch-deck is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,505 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 2026-09-03.
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