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 shawnpang/startup-founder-skills --skill fundraising-emailgit clone --depth 1 https://github.com/shawnpang/startup-founder-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/shawnpang/startup-founder-skills/fundraising-email)<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/fundraising-email"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/fundraising-email/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/shawnpang/startup-founder-skills/fundraising-email"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/fundraising-email.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 | $0.00062 | $0.01566 |
| Opus 5 | $0.00031 | $0.00783 |
| Sonnet 5 | $0.00012 | $0.00313 |
| Haiku 4.5 | $0.00006 | $0.00157 |
Grade A, and why
fundraising-email 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- fundraising-email — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fundraising Email
When to Use
- The founder needs to write a cold outreach email to an investor.
- The founder wants to draft a warm intro request (a "forwardable email").
- The founder needs a follow-up after an investor meeting.
- The founder is writing a monthly investor update.
- The founder wants to send a thank-you or round-closing notification.
Context Required
From startup-context: company one-liner, stage, key traction metrics, fundraising status, and any notable social proof (investors, customers, press).
From the user: email type, recipient (investor name and firm), prior relationship context, and desired outcome (meeting, intro, materials review).
Workflow
- Read startup context — Pull the company narrative, metrics, and fundraising details from
.agents/startup-context.md. - Determine email type — Classify as one of the five types below. Each has different structure, tone, and length.
- Draft the email — Follow the type-specific template. Keep it short — investors scan, they don't read.
- Add personalization — Include at least one specific reference to why this investor is a fit (thesis, portfolio company, blog post). Generic emails get ignored.
- Review against principles — Check the draft against the quality checklist. Trim aggressively.
- Deliver the final draft — Output subject line and email body, ready to copy-paste.
Output Format
**To:** [Investor Name]
**Subject:** [Subject line]
[Email body]
For investor updates, output a longer structured email with sections (see type 4 below).
Frameworks & Best Practices
The Five Email Types
1. Cold Outreach
Goal: Get a 30-minute meeting. Length: 5-7 sentences, under 150 words.
- Line 1: Why this investor specifically (1 sentence).
- Lines 2-3: What you do and for whom (no jargon).
- Lines 4-5: Strongest traction proof point — one number that makes them lean in.
- Line 6: Specific, low-commitment ask ("Would you have 30 minutes this week or next?").
- No attachments on first email. Subject line formula:
[Specific hook] — [Company Name](e.g.,"$40K MRR in 6 months, AI contract review — Lexara").
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.
- 13d ago First seen · 123 lines · 62 tokens per session scan A 89e917ec1d86
fundraising-email is a skill published in the GitHub repository shawnpang/startup-founder-skills (321 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 1,566 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 2026-08-30.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.