everything-claude-code: Skill for Claude Code

.agents/skills/investor-outreach/SKILL.md

investor-outreach is a skill for Claude Code, Codex from mit-network/everything-claude-code. It costs 54 tokens per session (592 once invoked), scanned A, a copy of investor-outreach, MIT.

A writing guide for messages to investors, such as angel investors, venture-capital funds, strategic investors, and startup accelerators.

In plain words
What is it for?
Use it to draft cold emails, warm introductions, follow-ups, investor updates, and messages tailored to a fund or partner.
Why use it?
It helps turn vague or generic outreach into short messages with a clear reason for contacting someone and a specific next step.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is mit-network/everything-claude-code's own configuration. It tells Claude Code and Codex how to work on everything-claude-code itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything everything-claude-code configures →

Part of the everything-claude-code plugin — 39 skills, 3 commands, 16 agents shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to mit-network/everything-claude-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mit-network/everything-claude-code/main/.agents/skills/investor-outreach/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mit-network/everything-claude-code

Made for: Claude Code, Codex.

Or install everything-claude-code, the plugin that ships this one along with the rest of its 39 skills, 3 commands, 16 agents.

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 investor-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/mit-network/everything-claude-code/investor-outreach.svg)](https://agentmods.dev/skills/mit-network/everything-claude-code/investor-outreach)
Your own site
<a href="https://agentmods.dev/skills/mit-network/everything-claude-code/investor-outreach"><img src="https://agentmods.dev/badge/skills/mit-network/everything-claude-code/investor-outreach.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 592 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 98% copy Near-identical to another mod 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 $0.00054 $0.00592
Opus 5 $0.00027 $0.00296
Sonnet 5 $0.00011 $0.00118
Haiku 4.5 $0.00005 $0.00059

Measured 8d ago against content hash ab71ee37a1ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

investor-outreach 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 8d 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.

Origin

This is a copy

98% identical to investor-outreach — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/investor-outreach/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investor Outreach

Write investor communication that is short, concrete, and easy to act on.

When to Activate

  • writing a cold email to an investor
  • drafting a warm intro request
  • sending follow-ups after a meeting or no response
  • writing investor updates during a process
  • tailoring outreach based on fund thesis or partner fit

Core Rules

  1. Personalize every outbound message.
  2. Keep the ask low-friction.
  3. Use proof instead of adjectives.
  4. Stay concise.
  5. Never send copy that could go to any investor.

Voice Handling

If the user's voice matters, run brand-voice first and reuse its VOICE PROFILE. This skill should keep the investor-specific structure and ask discipline, not recreate its own parallel voice system.

Hard Bans

Delete and rewrite any of these:

  • "I'd love to connect"
  • "excited to share"
  • generic thesis praise without a real tie-in
  • vague founder adjectives
  • begging language
  • soft closing questions when a direct ask is clearer

Cold Email Structure

  1. subject line: short and specific
  2. opener: why this investor specifically
  3. pitch: what the company does, why now, and what proof matters
  4. ask: one concrete next step
  5. sign-off: name, role, and one credibility anchor if needed

Personalization Sources

Reference one or more of:

  • relevant portfolio companies
  • a public thesis, talk, post, or article
  • a mutual connection
  • a clear market or product fit with the investor's focus

If that context is missing, state that the draft still needs personalization instead of pretending it is finished.

Follow-Up Cadence

Default:

  • day 0: initial outbound
  • day 4 or 5: short follow-up with one new data point
  • day 10 to 12: final follow-up with a clean close

Do not keep nudging after that unless the user wants a longer sequence.

Warm Intro Requests

Make life easy for the connector:

  • explain why the intro is a fit
  • include a forwardable blurb
  • keep the forwardable blurb under 100 words

Post-Meeting Updates

Read the full file on GitHub · 92 lines

Files

What ships with it

1 file 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.

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. 8d ago First seen · 92 lines · 54 tokens per session scan A ab71ee37a1ff

Subscribe to this mod's changes

investor-outreach is a skill published in the GitHub repository mit-network/everything-claude-code (77 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 592 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to investor-outreach, differing in 1 line, and is treated as a copy.

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