everything-claude-code: Skill for Claude Code

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

investor-outreach is a skill for Claude Code, Codex from tpavanipradeep/everything-claude-code. It costs 54 tokens per session (486 once invoked), scanned A, a copy of investor-outreach, MIT.

A writing guide for preparing concise investor communications, including cold emails, introductions, follow-ups, and fundraising updates.

In plain words
What is it for?
Use it to draft personalized outreach to angels, venture capital firms, strategic investors, or accelerators.
Why use it?
It helps tailor the message to a specific investor and make the requested next step clear.

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 tpavanipradeep/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 — 29 skills, 29 commands shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to tpavanipradeep/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/tpavanipradeep/everything-claude-code/main/.agents/skills/investor-outreach/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tpavanipradeep/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 29 skills, 29 commands.

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/tpavanipradeep/everything-claude-code/investor-outreach/github.svg)](https://agentmods.dev/skills/tpavanipradeep/everything-claude-code/investor-outreach)
Your own site
<a href="https://agentmods.dev/skills/tpavanipradeep/everything-claude-code/investor-outreach"><img src="https://agentmods.dev/badge/skills/tpavanipradeep/everything-claude-code/investor-outreach/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 investor-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/tpavanipradeep/everything-claude-code/investor-outreach"><img src="https://agentmods.dev/badge/skills/tpavanipradeep/everything-claude-code/investor-outreach.svg" alt="Reviewed on agentmods" width="80" 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 486 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 100% 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 $0.00486
Opus 5 $0.00027 $0.00243
Sonnet 5 $0.00011 $0.00097
Haiku 4.5 $0.00005 $0.00049

Measured 9d ago against content hash e1f6e1ac6d85, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 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.

Origin

This is a copy

100% identical to investor-outreach — 0 lines 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 · 77 lines

What it actually says

Investor Outreach

Write investor communication that is short, personalized, 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, not adjectives.
  4. Stay concise.
  5. Never send generic copy that could go to any investor.

Cold Email Structure

  1. subject line: short and specific
  2. opener: why this investor specifically
  3. pitch: what the company does, why now, what proof matters
  4. ask: one concrete next step
  5. sign-off: name, role, 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, ask for it or state that the draft is a template awaiting personalization.

Follow-Up Cadence

Default:

  • day 0: initial outbound
  • day 4-5: short follow-up with one new data point
  • day 10-12: 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

Include:

  • the specific thing discussed
  • the answer or update promised
  • one new proof point if available
  • the next step

Quality Gate

Before delivering:

  • message is personalized
  • the ask is explicit
  • there is no fluff or begging language
  • the proof point is concrete
  • word count stays tight
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. 9d ago First seen · 77 lines · 54 tokens per session scan A e1f6e1ac6d85

Subscribe to this mod's changes

investor-outreach is a skill published in the GitHub repository tpavanipradeep/everything-claude-code (112 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 486 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to investor-outreach, differing in 0 lines, and is treated as a copy.

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