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 Maudeunfledged834/startup-founder-skills --skill sourcing-outreachgit clone --depth 1 https://github.com/Maudeunfledged834/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/maudeunfledged834/startup-founder-skills/sourcing-outreach)<a href="https://agentmods.dev/skills/maudeunfledged834/startup-founder-skills/sourcing-outreach"><img src="https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/sourcing-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/maudeunfledged834/startup-founder-skills/sourcing-outreach"><img src="https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/sourcing-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 | $0.00022 | $0.01726 |
| Opus 5.5 | $0.00009 | $0.00690 |
| Sonnet 5.5 | $0.00004 | $0.00345 |
| Haiku 4.5 | $0.00002 | $0.00173 |
Grade A, and why
sourcing-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 1mo 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
100% identical to sourcing-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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sourcing Outreach
When to Use
Activate when the user asks to write cold outreach to potential candidates (LinkedIn InMails, cold emails), craft referral request messages, build a multi-touch follow-up sequence, or improve response rates on existing recruiting outreach. Also activate when the user is sourcing for a specific role and needs help personalizing messages at scale.
Context Required
- From startup-context: Company name, one-line mission, stage/funding, notable investors or customers, recent milestones, and team size.
- From user: Role being hired for, the candidate's name and background (LinkedIn profile, blog posts, talks, open-source work), what specifically drew the user to this candidate, and the communication channel (LinkedIn, email, Twitter DM).
Workflow
- Research the candidate — Review the candidate details provided by the user. Identify 1-2 specific, genuine connection points: a project they shipped, a talk they gave, an open-source contribution, a blog post, or a career pattern that signals fit.
- Choose the outreach template — Select from: cold LinkedIn InMail, cold email, warm intro request, referral ask, or follow-up. Each has different length and tone constraints.
- Draft the message — Write a short, personalized message using the PRC framework (see below). Keep LinkedIn InMails under 300 characters for the preview. Keep cold emails under 150 words.
- Add a clear, low-friction CTA — The ask should be small: a 15-minute call, a reply with interest level, or permission to send more details. Never ask for a resume or formal application in cold outreach.
- Build the follow-up sequence — Draft 2-3 follow-ups spaced 4-7 days apart. Each follow-up adds new information (a company milestone, a team blog post, a relevant data point) rather than just "bumping" the thread.
- Review for tone — Ensure the message sounds human, not templated. Check that personalization is specific enough that it could only apply to this candidate.
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.
- 1mo ago First seen · 131 lines · 22 tokens per session scan A 62af1398f671
sourcing-outreach is a skill published in the GitHub repository Maudeunfledged834/startup-founder-skills (8 stars, last pushed 16d ago), licensed MIT. It adds 22 tokens to every session and 1,726 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to sourcing-outreach, differing in 0 lines, and is treated as a copy.
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