cold-email-personalizer

cold-email-personalizer is a skill for Claude Code, Codex from yangliu2060/smith--skills. It costs 26 tokens per session (2,211 once invoked), scanned A, original, no licence file.

A cold-email writing aid that creates customised subject lines and email text from information about a potential customer.

In plain words
What is it for?
Use it to prepare personalised outreach emails for prospective customers.
Why use it?
It removes the need to write every sales email from scratch or manually adapt the same message for each recipient.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to prepare personalised outreach emails for prospective customers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yangliu2060/smith--skills/cold-email-personalizer
Install

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.

Any agent
npx skills add yangliu2060/smith--skills --skill cold-email-personalizer
Clone the repo
git clone --depth 1 https://github.com/yangliu2060/smith--skills

Made for: Claude Code, Codex.

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 cold-email-personalizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/yangliu2060/smith--skills/cold-email-personalizer/github.svg)](https://agentmods.dev/skills/yangliu2060/smith--skills/cold-email-personalizer)
Your own site
<a href="https://agentmods.dev/skills/yangliu2060/smith--skills/cold-email-personalizer"><img src="https://agentmods.dev/badge/skills/yangliu2060/smith--skills/cold-email-personalizer/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 cold-email-personalizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/yangliu2060/smith--skills/cold-email-personalizer"><img src="https://agentmods.dev/badge/skills/yangliu2060/smith--skills/cold-email-personalizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,211 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 unknown No closer match found 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 $0.00026 $0.02211
Opus 5.5 $0.00010 $0.00884
Sonnet 5.5 $0.00005 $0.00442
Haiku 4.5 $0.00003 $0.00221

Measured 2mo ago against content hash 20f703bff9fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cold-email-personalizer 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 2mo 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.

cold-email-personalizer/SKILL.md · 325 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 325 lines · 26 tokens per session scan A 20f703bff9fc

Subscribe to this mod's changes

cold-email-personalizer is a skill published in the GitHub repository yangliu2060/smith--skills (41 stars, last pushed 4mo ago), with no licence file. It adds 26 tokens to every session and 2,211 once invoked, about $0.0001 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 2026-08-30.

Related

cold-email-personalizer compared with skills from other repositories

cold-email-personalizer next to 6 skills from other repositories
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cold-email-personalizeryangliu2060/smith--skillsSkill414mo agononeA26Claude Code, Codex
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playwright-climicrosoft/playwrightSkill100ktodayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k5d agoMITA200Claude Code, Codex
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
systematic-debuggingobra/superpowersSkill316k8d agoMITA21Claude Code