adops-tool

AdTech LeadGen Agent Skills — Security skill for Claude Code

Security community

🎯 Schema-validated Agent Skills for AdTech lead generation and publisher compliance: audit ads.txt/app-ads.txt, detect Prebid/GAM/SSP stacks, verify GDPR & TCF v2.2 consent, score ad viewability.

How to install AdTech LeadGen Agent Skills

This entry records only its repository, not the path inside it, so there is no exact command to give. Open adops-tool/AdTech-LeadGen-agent-skills and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AdTech LeadGen Agent Skills does

🎯 Schema-validated Agent Skills for AdTech lead generation and publisher compliance: audit ads.txt/app-ads.txt, detect Prebid/GAM/SSP stacks, verify GDPR & TCF v2.2 consent, score ad viewability. Strict JSON contracts, bundled evals, zero dependencies. Runs on Claude Code or any LLM.

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README

AdTech-LeadGen-Skills

**A production-grade monorepo of schema-validated Agent Skills that automate AdTech lead generation, programmatic stack auditing, and publisher compliance checks — pure JSON in, pure JSON out.**

[![License: Apache 2.0](https://img.shields.io/badge/License-Apache--2.0-blue?style=for-the-badge)](LICENSE) [![Skills](https://img.shields.io/badge/Skills-6-blueviolet?style=for-the-badge)](#features) [![Eval Cases](https://img.shields.io/badge/Eval%20Cases-20-success?style=for-the-badge)](#integration-testing--eval-harness) [![Assertions](https://img.shields.io/badge/Assertions-56-yellow?style=for-the-badge)](#integration-testing--eval-harness) [![Schema](https://img.shields.io/badge/Schema-JSON%20Schema%20draft--07-orange?style=for-the-badge)](#configuration) [![Runtime Deps](https://img.shields.io/badge/Runtime%20Deps-0-informational?style=for-the-badge)](#tech-stack--architecture) [![Status](https://img.shields.io/badge/Status-Active-brightgreen?style=for-the-badge)](#support-the-project)

`AdTech-LeadGen-Skills` is a curated collection of six autonomous, machine-to-machine (M2M) **Agent Skills** for the ad-tech domain. Each skill is a self-contained directory that packages a deterministic system prompt (`SKILL.md`), a formal input/output contract (JSON Schema `draft-07`), a regression eval suite (`evals/evals.json`), and the originating generator prompt (`meta-prompt.md`).

The library is **runtime-agnostic**: it carries zero compiled code and zero runtime dependencies, which means it runs unchanged inside Claude Code / Claude Desktop Agent Skills, ChatGPT system prompts, LangChain/LlamaIndex pipelines, or any HTTP LLM API you already operate.

[!NOTE] Every skill is engineered around a **strict output contract**: the model returns a single raw JSON object or array — never prose, never markdown fences, never emojis. This makes the outputs directly consumable by CI jobs, dashboards, CRMs, and lead-generation pipelines without any parsing he