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 kelpi-ai/meta-ads-skills --skill lead-gen-buildergit clone --depth 1 https://github.com/kelpi-ai/meta-ads-skillsWrote 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/kelpi-ai/meta-ads-skills/lead-gen-builder)<a href="https://agentmods.dev/skills/kelpi-ai/meta-ads-skills/lead-gen-builder"><img src="https://agentmods.dev/badge/skills/kelpi-ai/meta-ads-skills/lead-gen-builder/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/kelpi-ai/meta-ads-skills/lead-gen-builder"><img src="https://agentmods.dev/badge/skills/kelpi-ai/meta-ads-skills/lead-gen-builder.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 | $0.00039 | $0.00462 |
| Opus 5.5 | $0.00016 | $0.00185 |
| Sonnet 5.5 | $0.00008 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
lead-gen-builder 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.
What it actually says
Lead-Gen Builder
Doctrine
For coaches, local services, and real estate, the campaign currency is lead quality, not ROAS. The recurring complaint is bogus leads: bot-shaped submissions asking the same question in the same words. The fix is deliberate friction: one qualifying question filters more junk than any targeting setting, at the cost of some volume. That trade is almost always worth it, because the real cost of a bad lead is the follow-up time it burns.
When to use
- Lead-gen offers where a landing page is overkill or does not exist yet.
- When current forms fill with junk: rebuild with friction instead of blaming the creative.
- Needs a Meta Ads MCP. Forms are drafted and shown before publishing.
Run it
Build me a lead form for: [OFFER + WHO from my angle]
1. Fields: name, email, phone.
2. Add ONE qualifying question that a bot or tire-kicker would not bother answering, phrased in my brand voice. Propose 3 options and recommend one (example shapes: budget range, timeline, "describe your situation in one line").
3. Intro section: one sentence restating the angle's promise, so the person who clicked knows they are in the right place.
4. Completion message: what happens next and how fast ("we call within X hours" only if I confirm it is true).
5. Save as a DRAFT and show it to me before publishing. After I approve, publish and tell me exactly which campaign/ad it should attach to.
Guardrails
- Draft first, publish on approval.
- The completion promise must be true. Do not write "we respond in 15 minutes" unless the business actually does.
- Track lead quality weekly, not just cost per lead: a $5 lead nobody can reach is more expensive than a $20 lead that answers the phone.
Good output looks like
A form that slightly reduces volume, visibly raises quality, and never promises a response time the business cannot keep.
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.
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 · 35 lines · 39 tokens per session scan A 04cd9bc4ccae
lead-gen-builder is a skill published in the GitHub repository kelpi-ai/meta-ads-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 462 once invoked, about $0.0002 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-gen-builder compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lead-gen-builderkelpi-ai/meta-ads-skills | Skill | 5 | 4mo ago | MIT | A | 39 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 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 |