content-platform-content-quality-and-low-quality-detection-engineer-python ~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python config/entry.json ~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python/workspace~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python/agentconfig/entry.jsonconfig/snippet.jsoncategories/industry-5-content-media-platform/agents/machine-learning/content-platform-content-quality-and-low-quality-detection-engineer-pythonA shareable OpenClaw agent folder package for Content Quality and Low-Quality Detection Engineer (Python).
content-platform-content-quality-and-low-quality-detection-engineer-pythonindustry-5-content-media-platformmachine-learning0.1.0mycodex/gpt-5.4workspace/ — agent workspace files and persona docsworkspace/skills/ — bundled agent-specific skillsconfig/ — install-ready config entry + snippet + secrets checklistINSTALL.md — target machine installation stepsPACKAGE.json — package metadata for GitHub/library useSee INSTALL.md.
This repository path is a library/catalog location. After copying this package to a target machine, the intended install path is:
~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python
Current public install path: this agent is included in public release 2026-03-18-p6-full-catalog-1395-agent.
npm install -g agents.clawin → clawin initclawin catalog refresh --catalog https://agents.clawin.club/releases/2026-03-18-p6-full-catalog-1395-agent/catalogs/published/catalog.jsonclawin-agent-match-install from the install page prompt, then ask OpenClaw to find and install the right package for you.clawhub install clawin-agent-match-install when the skill is published there.The website now treats direct CLI install as a background implementation detail rather than the primary user path. OpenClaw may still use local install tooling behind the scenes after you confirm the recommendation.
You do not need to manually copy this package folder for the current public release flow.
Install this shareable OpenClaw agent folder package on a target machine.
Copy this folder to:
~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python
The final installed layout should look like:
~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python/
workspace/
config/
INSTALL.md
PACKAGE.json
~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python.config/entry.json.agents.list in the target machine's ~/.openclaw/openclaw.json.config/snippet.json into the target config instead.config/SECRETS.md and fill in the target machine's provider credentials or channel tokens.This package keeps bundled skills under:
~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python/workspace/skills
OpenClaw loads agent-specific skills from workspace/skills/, so no extra global skill copy step is required for the bundled skills in this package.
~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python/workspace~/.openclaw/agents/content-platform-content-quality-and-low-quality-detection-engineer-python/agentThis package does not include:
Owns the experimentation platform so teams can launch, monitor, and learn from A/B tests with stronger rigor and operational consistency.
Owns access and IT asset administration so account permissions, device ownership, and control records remain current, auditable, and least-privilege aligned.
Builds Go services for account and relationship graphs so follows, fan relationships, and social connection signals remain consistent and performant.
Shapes account-integrity strategy so abusive account behavior can be detected earlier, scored more accurately, and controlled with stronger enforcement logic.