← Back to Skills Marketplace
111
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install omni-channel-agent
Description
全渠道选品 Agent — 拉齐社媒端、SEO端、投放端数据,帮助运营同学确定待上线需求。触发词:选品、社媒热点、SEO调研、竞品广告、Facebook Ads、TikTok趋势。
Usage Guidance
This skill appears to implement the scraping and reporting it advertises, but before installing or running it: 1) Expect to provide at least APIFY_TOKEN and SEMRUSH_API_KEY (and optionally a Notion token) — do not supply production or highly privileged keys; use scoped or throwaway credentials where possible. 2) The registry metadata failing to list required env vars is an inconsistency — ask the publisher to correct it. 3) SKILL.md includes guidance (remove SIM, use proxies, create region accounts) that encourages bypassing platform/geolocation protections; consider legal and ToS risks and avoid following those steps if they would violate policies. 4) Inspect SKILL.md for hidden/control characters (the scanner found unicode-control-chars) and review code (apify_client.py, sources/*) yourself or in a sandbox before running. 5) Run first in an isolated environment, with limited API tokens and review the output files, and if you rely on this for business decisions, have a human validate trends (the skill itself states human judgment is required).
Capability Analysis
Type: OpenClaw Skill
Name: omni-channel-agent
Version: 1.0.0
The skill bundle is a comprehensive data-gathering tool for social media, SEO, and advertising trends. It is classified as suspicious because several core scripts (e.g., run_pipeline.py, run_all.py, and sources/seo_pipeline.py) include a function to read and parse the user's ~/.bashrc file to retrieve API tokens. Furthermore, sources/google_trends.py uses os.system to automatically install the 'pytrends' package if it is missing. While these actions appear to facilitate the tool's intended scraping functionality, they represent intrusive file access and risky system modifications that could be exploited or lead to unintended system changes.
Capability Assessment
Purpose & Capability
The code modules (Apify client, sources for TikTok/Instagram/YouTube/Reddit/Semrush/Facebook Ads, Slack formatter) line up with the 'omni-channel' scraping/aggregation purpose. However the registry metadata claims no required environment variables or primary credential while SKILL.md and code clearly require APIFY_TOKEN and SEMRUSH_API_KEY (and optionally a Notion token). That metadata mismatch is an incoherence to be aware of.
Instruction Scope
SKILL.md tells the agent/user to run bundled Python scripts which call Apify and Semrush (expected), but also contains operational guidance to remove SIMs, use VPN/proxies and create region-specific accounts to 'overcome geographic fences' — instructions that encourage evasion of platform/geolocation controls and may violate third-party terms. The file also contains a prompt-injection detector hit (unicode-control-chars) suggesting hidden control characters may be present in SKILL.md to manipulate an LLM/agent. The runtime instructions do not ask to read unrelated local secrets/files, but the evasion guidance and hidden-character signal are concerning.
Install Mechanism
No install spec is provided (lower install risk). All code is packaged in the skill and uses only standard libraries (apify_client uses urllib). There are no remote downloads or archive extraction steps in an install script.
Credentials
The environment variables required by the runtime (APIFY_TOKEN, SEMRUSH_API_KEY, optional NOTION token) are sensitive but conceptually proportional to the stated scraping/SEO tasks. The problem is that the registry metadata does not declare them, so automated permission checks or users looking at registry info could miss that the skill will require/expose those credentials at runtime.
Persistence & Privilege
Skill is not marked always:true and does not request special platform privileges. It appears to only write output files under its own output/ directory. There is no evidence it modifies other skills or system-wide configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install omni-channel-agent - After installation, invoke the skill by name or use
/omni-channel-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
omni-channel-agent v1.0.0
- Initial release with full multi-channel trend and product research agent.
- Integrates KOL trend radar, social media (TikTok, Instagram, YouTube, Reddit, Google Trends), SEO (Semrush API, sitemap, deduplication), and advertising (Facebook Ads) data sources.
- Automated KOL monitoring, trend scoring, and comprehensive Slack-ready reports.
- CLI tool supports full or single-channel pipelines, result limiting, and test mode.
- Requires Apify, Semrush, and (optionally) Notion API credentials for full functionality.
Metadata
Frequently Asked Questions
What is Omni Channel Agent?
全渠道选品 Agent — 拉齐社媒端、SEO端、投放端数据,帮助运营同学确定待上线需求。触发词:选品、社媒热点、SEO调研、竞品广告、Facebook Ads、TikTok趋势。 It is an AI Agent Skill for Claude Code / OpenClaw, with 111 downloads so far.
How do I install Omni Channel Agent?
Run "/install omni-channel-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Omni Channel Agent free?
Yes, Omni Channel Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Omni Channel Agent support?
Omni Channel Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Omni Channel Agent?
It is built and maintained by lygjoey (@lygjoey); the current version is v1.0.0.
More Skills