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Cold Email Generator

Name: Cold Email Generator
Author: jayjjimenez

作者 JayJJimenez · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

319

总下载

当前安装

版本数

在 OpenClaw 中安装

/install cold-email-generator

功能描述

Generates personalized, concise cold emails pitching Gracie AI Receptionist by scraping business websites for relevant details.

使用说明 (SKILL.md)

cold-email-generator

Purpose: Generate personalized cold emails pitching Gracie AI Receptionist to local businesses.

Takes a business name + website URL, scrapes their site to extract real context (services, staff, location), then uses Ollama (llama3.2) to write a short, specific cold email — not a template.

Usage

Single business

python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py \
  --name "Victory Auto Repair" \
  --url "https://victoryautosi.com" \
  --phone "718-698-9896"

Single business + save to file

python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py \
  --name "P.A.C. Plumbing" \
  --url "https://pac-plumbing.com" \
  --save

Batch: all leads with websites from MASTER_LEAD_LIST.md

python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py --list
python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py --list --save

Output

Prints email to terminal
--save writes to: ~/StudioBrain/30_INTERNAL/WLC-Services/OUTREACH/[business-name].txt

What It Does

Scrapes homepage (+ about/contact pages if linked)
Extracts: business name, owner, services, location, staff mentions
Sends context to ollama run llama3.2 with a structured prompt
Returns a 3-paragraph email under 150 words

Dependencies

Scrapling: ~/StudioBrain/00_SYSTEM/skills/scrapling/scrape.py
Ollama with llama3.2: ollama list to verify
LEADS file: ~/StudioBrain/30_INTERNAL/WLC-Services/LEADS/MASTER_LEAD_LIST.md

Gracie Pitch Details

Setup: $299
Monthly: $399/mo
Demo line: (347) 851-1505
Pitched by: Jay Jimenez, White Lighter Club Studios

安全使用建议

This skill appears to do what it says: it scrapes websites, calls your local Ollama model, and writes emails to ~/StudioBrain/30_INTERNAL/WLC-Services/OUTREACH. Before installing/running: (1) confirm ollama and the llama3.2 model are installed locally and you accept any license/usage implications; (2) inspect the scrape script at /Users/wlc-studio/StudioBrain/00_SYSTEM/skills/scrapling/scrape.py to ensure it is trusted (it will be executed for each URL); (3) check MASTER_LEAD_LIST.md for any sensitive data you don't want processed; (4) be aware generated emails include scraped site text — ensure compliance with privacy / terms of the target sites and with your outreach policies; and (5) note the script writes files in your home directory and uses a hardcoded path for the scrape script, so adapt paths if your environment differs.

功能分析

Type: OpenClaw Skill Name: cold-email-generator Version: 1.0.0 The skill is a legitimate tool for generating personalized cold emails by scraping business websites and using a local LLM (Ollama). The generator.py script parses a local lead list (MASTER_LEAD_LIST.md), scrapes content from target websites using a secondary local script, and saves the generated emails to a specific outreach directory with sanitized filenames. The code uses safe subprocess calls and lacks any indicators of data exfiltration, persistence, or malicious intent.

能力评估

✓ Purpose & Capability

Name/description match the implementation: generator.py scrapes business websites, sends scraped text to a local Ollama model (llama3.2), and produces short cold emails. The declared dependencies in SKILL.md (a local scrape script and Ollama) are the resources the code actually calls. The only minor mismatch is a hardcoded absolute path for the scrape script (SCRAPE_SCRIPT = "/Users/wlc-studio/StudioBrain/00_SYSTEM/skills/scrapling/scrape.py") vs. the SKILL.md's use of a tilde path; this is a brittleness but not malicious.

ℹ Instruction Scope

SKILL.md and the script instruct scraping target websites, reading a local leads file (MASTER_LEAD_LIST.md), and saving outputs to ~/StudioBrain/30_INTERNAL/... — all of which the code does. These actions are within the stated scope, but they entail scraping arbitrary external sites and reading/writing files in your home directory, so verify the leads file and the scrape script are trusted before running.

✓ Install Mechanism

There is no install spec; this is instruction+script only. The script uses subprocess to call an external local script and the local Ollama binary. No network downloads or archive extraction are performed by the skill itself. The highest risk is a dependency on locally present binaries/scripts (scrape.py and ollama).

✓ Credentials

The skill requests no environment variables or credentials. It does read a local leads file and writes to a local OUTREACH directory in the user's home; this is consistent with an outreach tool. There are no hidden credential accesses. Confirm that the hardcoded SCRAPE_SCRIPT path points to an expected/trusted script on your system.

✓ Persistence & Privilege

The skill is not always-enabled and does not request elevated persistent privileges. It creates and writes files under the user's ~/StudioBrain directory (its own data), which is normal for this kind of tool. Autonomous model invocation is allowed (default) but does not by itself indicate risk.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install cold-email-generator
安装完成后，直接呼叫该 Skill 的名称或使用 /cold-email-generator 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of cold-email-generator skill. - Automatically scrapes business websites to gather real context for each lead. - Generates concise, personalized cold emails (not templates), pitching Gracie AI Receptionist. - Supports single business mode, batch processing from a lead list, and email output saving. - Integrates with Ollama (llama3.2) for email generation and requires Scrapling for scraping. - Output: prints to terminal or saves to organized text files for outreach campaigns.

元数据

Slug cold-email-generator

版本 1.0.0

许可证 —

累计安装 2

当前安装数 1

历史版本数 1

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