Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill setup-outreach-campaign-smartleadgit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/setup-outreach-campaign-smartlead)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/setup-outreach-campaign-smartlead"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/setup-outreach-campaign-smartlead/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/gooseworks-ai/goose-skills/setup-outreach-campaign-smartlead"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/setup-outreach-campaign-smartlead.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 | $0.00070 | $0.03579 |
| Opus 5 | $0.00035 | $0.01790 |
| Sonnet 5 | $0.00014 | $0.00716 |
| Haiku 4.5 | $0.00007 | $0.00358 |
Grade A, and why
setup-outreach-campaign-smartlead 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 9d 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 — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
setup-outreach-campaign-smartlead
Set up a complete outbound email campaign in Smartlead: create the campaign, add leads, write a 2-3 email sequence, configure the schedule, and allocate mailboxes.
Inputs
| Input | Required | Default | Description |
|---|---|---|---|
| campaign_name | Yes | -- | Name for the campaign (e.g., "Truewind - Accounting Firms - Feb 2026") |
| campaign_goal | Yes | -- | What outcome the campaign drives (book demos, drive signups, etc.) |
| lead_list | Yes | -- | CSV file path OR person-list JSON from upstream skill |
| value_proposition | Yes | -- | Core pain point or benefit the emails address |
| cta | Yes | -- | Call to action (e.g., "Book a 15-min demo", "Reply to learn more") |
| tone | No | semi-formal | Email tone: casual, semi-formal, formal |
| personalization_angle | No | -- | Hook for personalization (event attendance, job posting, news mention) |
| timezone | No | America/New_York | Timezone for send schedule |
| send_days | No | [1,2,3,4,5] | Days of week to send (0=Sun, 6=Sat) |
| start_hour | No | 08:00 | Start of send window |
| end_hour | No | 18:00 | End of send window |
| max_leads_per_day | No | 20 | Max new leads contacted per day |
| min_time_btw_emails | No | 10 | Minutes between emails from same mailbox |
| num_mailboxes | No | 5 | Number of mailboxes to allocate |
| mailbox_selection | No | auto | "auto" (pick free ones) or "manual" (show list to user) |
Setup
Requires a Smartlead account with API access. This skill does not use the Gooseworks proxy — the user must supply their own Smartlead API key.
export SMARTLEAD_API_KEY=your_api_key_here
You can find your API key in the Smartlead dashboard under Settings → API Keys. If SMARTLEAD_API_KEY is not set, ask the user for it before proceeding.
All API calls go to https://server.smartlead.ai/api/v1 with ?api_key=$SMARTLEAD_API_KEY appended.
Rate limit: 10 requests per 2 seconds.
Procedure
Step 1: Gather Campaign Info
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.
- 9d ago First seen · 415 lines · 70 tokens per session scan A 445dd6d362f5
setup-outreach-campaign-smartlead is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 70 tokens to every session and 3,579 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
sequence-architect
Design a 4-6 touch outreach cadence with channels, timing, tonal arc, and branching. Use when starting a new sequence from scratch given an ICP and offer.
icebreaker
Draft 3 distinct opening messages for a specific prospect, anchored on a why-now and a why-this-person. Use when sending a high-leverage first touch where personalization is worth the time.
sequence-doctor
Audit an outreach sequence and produce a ranked fix list. Use when reply rates are low, when you want a second opinion before sending, or when rewriting a sequence from scratch.
jargon-bingo
Score sales calls, emails, or posts on a 5x5 bingo card of cliches. Mostly for fun; quietly useful for spotting jargon-heavy patterns.
prospect-twin
Build a believable persona simulation of a prospect from their LinkedIn profile, then practice outreach against them. Use when preparing for a high-stakes outreach or call, when iterating on openers, or when testing whether a pitch lands.
cringe-translator
Translate sales-jargon-laden LinkedIn messages into what the sender actually means. Mostly for fun; occasionally educational about why a message tanked.