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 AlexisMarasigan/coldoutboundskills --skill smartlead-campaign-upload-publicgit clone --depth 1 https://github.com/AlexisMarasigan/coldoutboundskillsWrote 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/alexismarasigan/coldoutboundskills/smartlead-campaign-upload-public)<a href="https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/smartlead-campaign-upload-public"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/smartlead-campaign-upload-public/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/alexismarasigan/coldoutboundskills/smartlead-campaign-upload-public"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/smartlead-campaign-upload-public.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 | $0.00090 | $0.01224 |
| Opus 5 | $0.00045 | $0.00612 |
| Sonnet 5 | $0.00018 | $0.00245 |
| Haiku 4.5 | $0.00009 | $0.00122 |
Grade A, and why
smartlead-campaign-upload-public 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.
This is a copy
100% identical to smartlead-campaign-upload-public — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smartlead Campaign Upload
Takes a variants.yaml (written by /campaign-copywriting) and a leads.csv (from your list-building skills) and creates a DRAFT campaign in Smartlead. You review the result in the Smartlead UI and press Start manually.
This skill does NOT ship any email copy. Copy comes from /campaign-copywriting. This skill is the mechanical upload layer — API calls only.
Why DRAFT only
Cold email launches should never happen from a script. You hit Start in the Smartlead UI after reviewing:
- Subject lines + body previews
- Inbox assignments (correct tag? correct count?)
- Lead count and a few random lead rows
- Schedule (timezone + hours + throttle)
The script sets all of this up in DRAFT so the review is trivial — verify and click Start.
Inputs
leads.csv
Required columns:
emailfirst_namelast_namecompany_name
Optional columns (passed through to Smartlead as custom fields):
company_domaintitlelinkedin_urlsituation_line(AI-generated per-lead context)value_line(AI-generated value mapping)cta_line(AI-generated CTA angle)
Additional AI variable columns produced by /campaign-copywriting or /personalization-subagent-pattern — named fields only. The script does NOT accept arbitrary columns; this is intentional. If you need to add a field, update this skill.
variants.yaml
Produced by /campaign-copywriting. Schema is in references/variants-schema.yaml.
Minimum required: name, schedule, inbox_selection, sequences with at least one step.
Usage
export SMARTLEAD_API_KEY=xxx
npx tsx scripts/upload.ts \
--leads=profiles/<slug>/campaigns/<campaign-slug>/leads.csv \
--variants=profiles/<slug>/campaigns/<campaign-slug>/variants.yaml
Output:
✓ Campaign created: #12345678
✓ Sequence saved (3 steps, 3 variants on step 1)
✓ 20 inboxes attached (tag=active, LRU by daily_sent_count)
✓ 1,847 leads uploaded (20 batches)
✓ Schedule set (M-F 08:00-17:00 EST, 30/day/inbox)
Campaign is in DRAFT. Review + Start:
→ https://app.smartlead.ai/app/email-campaign/12345678
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 · 113 lines · 90 tokens per session scan A 78c35658528d
smartlead-campaign-upload-public is a skill published in the GitHub repository AlexisMarasigan/coldoutboundskills (4 stars, last pushed 4mo ago), licensed MIT. It adds 90 tokens to every session and 1,224 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to smartlead-campaign-upload-public, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…