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lead-thermal-engine CLAUDE.md

lead-thermal-engine CLAUDE.md is an instructions file for coding agents from chester9303026-dev/lead-thermal-engine. It costs 675 tokens per session, scanned A, original, MIT.

Project instructions for a lead-generation application serving a design and advertising studio that targets wellness, massage, and spa businesses.

In plain words
What is it for?
Use them when working on the business collector, lead-scoring React app, CSV import, outreach-message generation, or local server that keeps the Anthropic key private.
Why use it?
They give the coding agent the project's purpose, data flow, protected files, and setup order so changes fit the existing application.

Instructions file

not rated 10 2mo ago A scan 675 tokens original MIT
View the source file chester9303026-dev/lead-thermal-engine
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.

agentmods
npx agentmods add instructions/chester9303026-dev/lead-thermal-engine/claude-md
Clone the repo
git clone --depth 1 https://github.com/chester9303026-dev/lead-thermal-engine

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.

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/chester9303026-dev/lead-thermal-engine/claude-md.svg)](https://agentmods.dev/instructions/chester9303026-dev/lead-thermal-engine/claude-md)
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<a href="https://agentmods.dev/instructions/chester9303026-dev/lead-thermal-engine/claude-md"><img src="https://agentmods.dev/badge/instructions/chester9303026-dev/lead-thermal-engine/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 675 This file is loaded in full into every session.
When invoked 675 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00675 $0.00675
Opus 5 $0.00338 $0.00338
Sonnet 5 $0.00135 $0.00135
Haiku 4.5 $0.00068 $0.00068

Measured 5d ago against content hash 3190b28e5918, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lead-thermal-engine CLAUDE.md 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 5d 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.

CLAUDE.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Lead Thermal Engine

Context for the Claude Code agent working in this project.

What this project is

A two-part lead-generation tool for a design & advertising studio that sells websites, Instagram management, and ads to wellness / massage / spa businesses.

  1. collector.py — pulls businesses from the Google Places API (New) and writes leads.csv (name, city, has_website, rating, reviews, phone, a chain-size heuristic). Instagram / ad / visual fields are left blank for manual enrichment on the short list of top leads.
  2. React app (src/App.jsx) — imports leads.csv, scores each business by Need (how much they need a studio) × Fit (can they pay), ranks them, and writes a targeted outreach opener per lead. Message generation goes through server.js, a local proxy that holds the Anthropic key server-side.

Pipeline: collector.py → leads.csv → import into the app → ranked leads + openers.

Files — do NOT rewrite these, they are already wired

  • src/App.jsx — the engine. Calls /api/generate for message generation.
  • server.js — Anthropic proxy. Reads ANTHROPIC_API_KEY from .env.
  • vite.config.js — proxies /api → http://localhost:8787.
  • collector.py — reads GOOGLE_MAPS_API_KEY from .env.

Setup steps (do these in order)

  1. Create .env by copying .env.example. Then ASK the user for their GOOGLE_MAPS_API_KEY (Google Cloud → enable "Places API (New)") and ANTHROPIC_API_KEY (console.anthropic.com). Do not invent or commit keys.
  2. Install Node deps: npm install. If a pinned version fails, bump it to the latest compatible release and retry — do not change the project structure.
  3. Set up Python for the collector: python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt (On Windows: .venv\Scripts\activate.)
  4. Start the app: npm run dev. This runs Vite (http://localhost:5173) and the proxy (http://localhost:8787) together. Open the localhost URL.
  5. To gather leads: edit KEYWORDS and CITIES at the top of collector.py for the user's target area, then run python collector.py (venv active). Import the resulting leads.csv in the running app.

Read the full file on GitHub · 47 lines

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. 5d ago First seen · 47 lines · 675 tokens per session scan A 3190b28e5918

Subscribe to this mod's changes

lead-thermal-engine CLAUDE.md is an instructions file published in the GitHub repository chester9303026-dev/lead-thermal-engine (10 stars, last pushed 2mo ago), licensed MIT. It adds 675 tokens to every session, about $0.0034 per session on Opus 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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