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Outbound Campaign Auto
by
nicemaths123
· GitHub ↗
· v1.0.0
· MIT-0
71
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0
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0
Active Installs
1
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Install in OpenClaw
/install outbound-campaign-auto
Description
Automates full outbound campaigns by scraping qualified leads, segmenting them, creating personalized email and LinkedIn sequences, ad hooks, video assets, a...
Usage Guidance
This skill's instructions make sense for an outbound-campaign tool, but the package metadata fails to declare the API credentials it clearly needs (Apify, InVideo, Claude). Before installing or running it: (1) ask the publisher to explicitly list required credentials and exactly how/where data is sent and stored; (2) never provide high‑privilege or long‑lived credentials — use scoped, revocable API keys or per-run tokens; (3) confirm compliance with LinkedIn and data‑protection terms before scraping personal profiles and collecting emails; (4) test in a sandbox account and inspect the outputs for PII exposure; and (5) prefer a skill that documents data retention, error handling, and where scraped data is uploaded. If the publisher cannot clarify these points, avoid using it with real credentials or sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: outbound-campaign-auto
Version: 1.0.0
The 'Outbound Campaign Autopilot' skill bundle is a sales automation workflow designed for an AI agent to scrape leads and generate marketing content. The SKILL.md file outlines a legitimate process using Apify and InVideo AI, providing a structured prompt for generating personalized email and LinkedIn sequences. While it requests API keys for these services and includes affiliate links, there is no evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Tags
Capability Assessment
Purpose & Capability
The SKILL.md describes heavy integration with Apify (multiple scrapers), InVideo AI, and Claude AI and explicitly shows example inputs containing apify_token and invideo_api_key. However, the registry metadata lists no required environment variables or primary credential. That is inconsistent: a lead-scraping + video-generation skill legitimately needs API credentials for those services, so the metadata omission is unexplained and disproportionate.
Instruction Scope
The runtime instructions instruct the agent to perform web scraping (LinkedIn companies and profiles, website crawling, Google News), find/verify emails, gather personal context from posts, and send data to InVideo for video generation and to Claude for copywriting. Those actions are aligned with the described purpose, but they involve collecting personal data (emails, LinkedIn profile contents) and external network calls. The SKILL.md does not specify where outputs or scraped data are stored or whether data is transmitted to any endpoints beyond the named services; it also contains affiliate links but no explicit data-flow or consent/retention guidance.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so there is no automatic binary download or archive extraction risk. That limits disk‑write/exec risk from the skill package itself.
Credentials
The SKILL.md example input explicitly includes 'apify_token' and 'invideo_api_key' (and references Claude). Yet the skill metadata declares zero required environment variables and no primary credential. Requiring API tokens for scraping and video generation is expected; not declaring them is an incoherence that obscures what secrets the skill will ask for at runtime. The skill will handle PII (emails, names, LinkedIn URLs), so any credentials supplied should be minimal-scope and ephemeral — this is not documented.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; it does not request persistent presence or modify other skills. Autonomous invocation is allowed by default (disable-model-invocation is false) — combined with the scraping/data-collection behavior this increases blast radius, but the skill itself does not request elevated platform privileges or 'always' persistence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install outbound-campaign-auto - After installation, invoke the skill by name or use
/outbound-campaign-auto - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release automates outbound campaign creation in under 15 minutes.
- Scrapes 50 qualified B2B leads matching your niche and ICP using Apify.
- Segments leads by intent and enriches profiles with company and personal data.
- Writes 15 hyper-personalized emails (5 per segment) with Claude AI, plus LinkedIn outreach sequence.
- Generates 3 paid ad hooks and a personalized video asset via InVideo AI.
- Delivers a full campaign brief including messaging pillars, objection handlers, A/B subject lines, and discovery talk tracks.
Metadata
Frequently Asked Questions
What is Outbound Campaign Auto?
Automates full outbound campaigns by scraping qualified leads, segmenting them, creating personalized email and LinkedIn sequences, ad hooks, video assets, a... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install Outbound Campaign Auto?
Run "/install outbound-campaign-auto" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Outbound Campaign Auto free?
Yes, Outbound Campaign Auto is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Outbound Campaign Auto support?
Outbound Campaign Auto is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Outbound Campaign Auto?
It is built and maintained by nicemaths123 (@nicemaths123); the current version is v1.0.0.
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