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 hyperfx-ai/marketing-skills --skill cold-email-outreachgit clone --depth 1 https://github.com/hyperfx-ai/marketing-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/hyperfx-ai/marketing-skills/cold-email-outreach)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/cold-email-outreach"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/cold-email-outreach/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/hyperfx-ai/marketing-skills/cold-email-outreach"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/cold-email-outreach.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 | $0.00101 | $0.03653 |
| Opus 5 | $0.00051 | $0.01826 |
| Sonnet 5 | $0.00020 | $0.00731 |
| Haiku 4.5 | $0.00010 | $0.00365 |
Grade A, and why
cold-email-outreach 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Email Outreach
End-to-end cold outreach: research, draft, send, follow up, route replies. Strategy is grounded in proven hook frameworks (number-led / question / pain-point / benefit-first); the execution runs on Apollo, Firecrawl, the LinkedIn scraper, and Gmail through the Hyper MCP.
Out of scope — defer to other skills
| Request | Send them to |
|---|---|
| Lifecycle / nurture sequences for warm leads (welcome, onboarding, re-engagement, win-back) | email-lifecycle (planned) |
| LinkedIn DMs, connection requests, or Sales Navigator workflows | (planned) |
| Lead scoring, routing, deal-stage updates after a reply | crm-revops (planned) |
| Scraping competitor ads | meta-ads-library |
Requirements
- Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
- Gmail integration connected at https://app.hyperfx.ai/apps — supplies the sending account.
- Apollo integration connected — supplies prospect search and email enrichment.
- Firecrawl (bundled) — for company-page signals.
- Optional: LinkedIn scraper (bundled, runs through Apify) — for richer per-prospect personalization.
If gmail_messages_send and apollo_mixed_people_search are not in the agent's tool list, stop and tell the user to enable the Hyper MCP and connect Gmail + Apollo.
Tool surface
| Phase | Tools |
|---|---|
| Prospect research | apollo_mixed_people_search, apollo_mixed_companies_search, apollo_people_bulk_match (preferred for 2+ enrich), apollo_people_match (single only) |
| Per-prospect signals | firecrawl_urls_scrape, firecrawl_urls_scrape_batch, firecrawl_branding_extract, firecrawl_screenshots_create, scrape_linkedin_profiles (conditional — requires LinkedIn Apify integration) |
| Drafting | gmail_drafts_create, gmail_drafts_update, gmail_drafts_get, gmail_drafts_list |
| Sending | gmail_messages_send, gmail_drafts_send, gmail_reply_to_message |
| Reply routing | gmail_messages_list, gmail_get_message, gmail_labels_create, gmail_labels_add, gmail_labels_remove, gmail_messages_move_to_label (takes label_id string, not label_ids array) |
What ships with it
3 files 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 · 242 lines · 101 tokens per session scan A bd7773b3c490
cold-email-outreach is a skill published in the GitHub repository hyperfx-ai/marketing-skills (86 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 3,653 once invoked, about $0.0005 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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