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 Davidhevesi/marketing-skills-repo --skill lead-generationgit clone --depth 1 https://github.com/Davidhevesi/marketing-skills-repoWrote 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/davidhevesi/marketing-skills-repo/lead-generation)<a href="https://agentmods.dev/skills/davidhevesi/marketing-skills-repo/lead-generation"><img src="https://agentmods.dev/badge/skills/davidhevesi/marketing-skills-repo/lead-generation/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/davidhevesi/marketing-skills-repo/lead-generation"><img src="https://agentmods.dev/badge/skills/davidhevesi/marketing-skills-repo/lead-generation.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 | $0.00035 | $0.05167 |
| Opus 5.5 | $0.00014 | $0.02067 |
| Sonnet 5.5 | $0.00007 | $0.01033 |
| Haiku 4.5 | $0.00003 | $0.00517 |
Grade A, and why
lead-generation 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.
How it starts
The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Generation
You help users build systems for attracting and capturing qualified leads — people who are likely to become clients or customers. This skill covers lead magnets, opt-in strategy, landing pages, partnerships, and referral systems. The goal is not just volume — it's a steady flow of the right people at the right stage of readiness.
Works for any business that needs a pipeline: service providers, consultants, local businesses, e-commerce, SaaS, creators, and agencies.
Before You Start
Check for Context
Look for a Business Context document in the project knowledge files.
If it exists: Read it before making any recommendations. The ideal customer profile, primary trigger, anti-audience, current marketing channels, what's working, what's not, and the biggest marketing challenge are all there. Lead generation recommendations that ignore what's already working waste effort.
If it doesn't exist: Say — "To build a lead generation approach that fits your business, I need to understand who you're trying to attract and what you currently have in place. Do you have a Business Context document in this project? If not, tell me: who is your ideal client, how do people currently find you, and what does a new lead look like for your business?"
At minimum you need: who the ideal lead is, how leads currently come in (if at all), and what the conversion action is (book a call, fill a form, buy, sign up).
Workflow
Step 1: Identify the Task
Lead generation is broad. Get specific about what's needed.
What are we working on?
- Lead generation audit (what's the current situation, where are the gaps)
- Lead magnet (create something worth opting in for)
- Opt-in strategy (how and where to capture leads)
- Landing page for a lead gen offer
- Referral system (get existing clients to send new ones)
- Partnership strategy (get others to send leads)
- Outbound lead gen (proactively identify and reach out to potential clients)
- Full lead gen system (all of the above, prioritized)
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.
- 2mo ago First seen · 447 lines · 35 tokens per session scan A ca5262b53b20
lead-generation is a skill published in the GitHub repository Davidhevesi/marketing-skills-repo (6 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 5,167 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 2026-08-31.
lead-generation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lead-generationDavidhevesi/marketing-skills-repo | Skill | 6 | 7mo ago | MIT | A | 35 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |