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 minhnv0807/ai-business-skills --skill 33-b2b-lead-gen-globalgit clone --depth 1 https://github.com/minhnv0807/ai-business-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/minhnv0807/ai-business-skills/33-b2b-lead-gen-global)<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/33-b2b-lead-gen-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/33-b2b-lead-gen-global/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/minhnv0807/ai-business-skills/33-b2b-lead-gen-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/33-b2b-lead-gen-global.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00172 | $0.01176 |
| Opus 5 | $0.00086 | $0.00588 |
| Sonnet 5 | $0.00034 | $0.00235 |
| Haiku 4.5 | $0.00017 | $0.00118 |
Grade A, and why
33-b2b-lead-gen-global 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 12d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
B2B Lead Gen (Global)
This skill connects marketing to sales: define ICP, find accounts and contacts, score leads, write outreach, create sales assets, and set MQL/SQL handoff. The goal is qualified pipeline, not a large email list.
Information gathering
Read .agents/product-marketing-context-global.md if available. Ask up to 4 questions: ICP, deal size/ACV, target market/region, and current outbound channels. Use CRM exports or existing lists as baseline when available. For deeper guidance, read references/b2b-lead-gen-playbook.md.
Pick the mode
| User needs | Mode |
|---|---|
| "Find prospects" | Prospecting |
| "Write outreach emails" | Cold outreach |
| "Score leads" | Lead scoring |
| "Handoff to sales" | RevOps handoff |
| "Build a sales deck / objections" | Sales enablement |
Workflow
1. Define ICP
Clarify:
- Firmographic: industry, size, revenue, region.
- Trigger: funding, hiring, expansion, tool usage, regulation, churn signal.
- Pain: problem with budget behind it.
- Exclusion: who should not be targeted.
2. Map lead sources
| Source | Best for |
|---|---|
| LinkedIn/Sales Nav | B2B role/title targeting |
| Apollo/Clay/ZoomInfo | Account and contact data |
| Google Maps/local directories | Local SMB |
| GitHub/job posts | Devtool/SaaS intent |
| G2/Capterra/review sites | Competitor/category demand |
| Website visitors/forms | Warm intent |
3. Score and prioritize
Use 100 points:
| Group | Points |
|---|---|
| ICP fit | 35 |
| Intent trigger | 25 |
| Pain/proof | 15 |
| Contact quality | 15 |
| Timing | 10 |
Only push to outreach when score is at least 60/100.
4. Write outbound sequence
Default 4-touch sequence:
- Email 1: pain + relevance + soft CTA.
- Email 2: proof/case + short question.
- Email 3: value asset or mini-audit.
- Breakup: permission to close the loop.
Avoid spam, exaggerated claims, and fake personalization.
5. Create sales enablement
For high-potential accounts, create:
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.
- 12d ago First seen · 154 lines · 172 tokens per session scan A 635213537135
33-b2b-lead-gen-global is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 172 tokens to every session and 1,176 once invoked, about $0.0009 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 2026-08-30.
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