Borrowing it
Nothing to install: this file belongs to burgebj/claude_everything. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/burgebj/claude_everything/ecc-tools/everything-claude-code-1775042279843/.agents/skills/investor-outreach/SKILL.mdgit clone --depth 1 https://github.com/burgebj/claude_everythingWrote 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/burgebj/claude_everything/investor-outreach)<a href="https://agentmods.dev/skills/burgebj/claude_everything/investor-outreach"><img src="https://agentmods.dev/badge/skills/burgebj/claude_everything/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.
<a href="https://agentmods.dev/skills/burgebj/claude_everything/investor-outreach"><img src="https://agentmods.dev/badge/skills/burgebj/claude_everything/investor-outreach.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 | $0.00054 | $0.00553 |
| Opus 5 | $0.00027 | $0.00277 |
| Sonnet 5 | $0.00011 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00055 |
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 12d 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.
This is a copy
83% identical to investor-outreach — 7 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.
How it starts
The opening of the file, as written. The whole thing — 88 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
- Personalize every outbound message.
- Keep the ask low-friction.
- Use proof instead of adjectives.
- Stay concise.
- Never send copy that could go to any investor.
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
- "no fluff"
- begging language
- soft closing questions when a direct ask is clearer
Cold Email Structure
- subject line: short and specific
- opener: why this investor specifically
- pitch: what the company does, why now, and what proof matters
- ask: one concrete next step
- 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
Include:
- the specific thing discussed
- the answer or update promised
- one new proof point if available
- the next step
Quality Gate
Before delivering:
- the message is genuinely personalized
- the ask is explicit
- the proof point is concrete
- filler praise and softener language are gone
- word count stays tight
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.
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.
- 12d ago First seen · 88 lines · 54 tokens per session scan A 247034b0b404
investor-outreach is a skill published in the GitHub repository burgebj/claude_everything (7 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 553 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to investor-outreach, differing in 7 lines, and is treated as a copy.
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