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 koinod/koino-skills --skill ai-cold-emailgit clone --depth 1 https://github.com/koinod/koino-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/koinod/koino-skills/ai-cold-email)<a href="https://agentmods.dev/skills/koinod/koino-skills/ai-cold-email"><img src="https://agentmods.dev/badge/skills/koinod/koino-skills/ai-cold-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/koinod/koino-skills/ai-cold-email"><img src="https://agentmods.dev/badge/skills/koinod/koino-skills/ai-cold-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 | $0.00012 | $0.01755 |
| Opus 5.5 | $0.00005 | $0.00702 |
| Sonnet 5.5 | $0.00002 | $0.00351 |
| Haiku 4.5 | $0.00001 | $0.00176 |
Grade A, and why
ai-cold-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 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.
How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Cold Email Generator
Generate high-converting cold outreach emails personalized to your prospect. Uses the Observation > Question > Offer framework that consistently outperforms generic templates.
Usage
Provide the following about your prospect:
| Field | Required | Example |
|---|---|---|
| Prospect Name | Yes | "Sarah Chen" |
| Company | Yes | "Meridian Logistics" |
| Industry | Yes | "Third-party logistics / freight" |
| Pain Point | Yes | "Manual load matching wastes 15+ hours/week" |
| Your Name | Yes | "Alex Rivera" |
| Your Company | Yes | "FleetMind AI" |
| Your Offer | Yes | "AI-powered load matching platform" |
| Prospect's Role | Optional | "VP of Operations" |
| Recent Trigger | Optional | "Just expanded to 3 new warehouses" |
| Mutual Connection | Optional | "Met at FreightWaves LIVE" |
Output
You will receive 3 email variants plus a 3-touch follow-up sequence.
Step 1: Research & Personalization
Before writing, analyze the inputs and build a prospect profile:
- Observation: What specific, verifiable thing can you reference about the prospect or their company? (recent news, job change, company growth, public statement, industry trend affecting them)
- Question: What genuine question could you ask that demonstrates you understand their world?
- Offer: What specific, low-commitment value can you provide? (not "let's hop on a call" -- something they can use immediately)
Step 2: Generate 3 Email Variants
Variant A: The Short Punch (50-75 words)
Structure:
Subject: [Observation-based, no clickbait, under 6 words]
[First name],
[1 sentence: specific observation about their company/role]
[1 sentence: question that implies you understand their pain]
[1 sentence: concrete offer with zero commitment]
[Signature]
Rules:
- No "I hope this finds you well"
- No "I wanted to reach out"
- No company pitch in the first email
- Subject line references THEM, not you
- Total email under 75 words
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 · 233 lines · 12 tokens per session scan A 16a5a5bed80a
ai-cold-email is a skill published in the GitHub repository koinod/koino-skills (8 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 1,755 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.
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