An interactive command-line utility that assesses OpenAI account suspension risks, generates customized appeal templates, and scans developer forums for live ban waves.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openai-ban-tracker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openai-ban-tracker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenAI Ban Tracker?
The OpenAI Ban Tracker is a highly focused command-line diagnostic and recovery engine designed to help AI developers protect their accounts and API endpoints. During massive account sweeps, developers and teams frequently find their work interrupted without clear reasons. This tool helps diagnose account vulnerabilities by parsing local configurations, usage habits, and registration history against known suspension vectors.
Designed to seamlessly integrate with your existing DevOps and security workflows, it translates complex platform guidelines into transparent checklists. By installing this utility from the Openclaw Skills registry, you can maintain deep visibility over API safety policies and automate rapid recovery protocols if your organization faces access blocks.
OpenAI Ban Tracker Use Cases
- API Integrity Auditing: Scan team deployment scripts and proxy routing to identify configuration patterns that trigger high-risk security flags.
- Pre-emptive Ban Detection: Monitor community-reported risk signals before they affect production servers.
- Automated Suspension Appeals: Instantly generate structured, professional appeal letters tailored to specific ban categories in English or Chinese.
- Mitigation Planning: Review risk-weight analytics to choose safer payment methods, VPN patterns, and account generation pipelines.
How OpenAI Ban Tracker Works
- Interactive Assessment: The tool runs a local 9-question interactive CLI questionnaire covering account origin, network, API usage, and billing history.
- Heuristic Risk Scoring: It evaluates answers against a weighted model of confirmed ban vectors to issue a risk index from 0 to 100.
- Trend Scanning: The CLI fetches live network data from V2EX to observe community sentiment and trace immediate active ban waves.
- Recovery Document Generation: Based on the primary risk factor, it compiles an appeal template loaded with verified recovery talking points.
OpenAI Ban Tracker Setup
Install the CLI directly from its GitHub repository via your terminal:
pip install git+https://github.com/minirr890112-byte/openai-ban-tracker.git
Verify the installation and begin scanning your workspace configuration using the principal diagnostic commands:
# Run the 9-question risk evaluation
openai-ban-tracker risk-check
# Query the latest community risk signals
openai-ban-tracker status
OpenAI Ban Tracker Data Schema & Taxonomy
The utility processes local inputs in memory and interfaces with public RSS/community signals to compile its safety profiles. Below is the structured risk taxonomy:
| Target Domain | Focus Area | Assessment Weight | Recovery Rate |
|---|---|---|---|
| Shared / Purchased Accounts | Multi-user credential reuse | High | ~5% |
| Credit / Payment Source | Third-party or grey-market top-ups | High | ~10% |
| VPN & Network Routing | Proxy / Region mismatches | Medium | ~40% |
| API Utilization Patterns | Excessive rate limit breaches | High | ~5% |
| Device Identity | Bulk automated registrations | High | ~2% |
All diagnostic operations remain local, aligning with standard privacy and data management practices in the Openclaw Skills ecosystem.
OpenAI Ban Tracker Advanced Features
- Real-time V2EX Parser: A custom web scraper that analyzes community discussion volumes to identify ban waves as they scale.
- Multilingual Support Templates: Quickly exports pre-formatted, persuasive appeal arguments in English and Chinese.
- Localized Analytics: Maps out the 8 primary ban vectors with contextual prevention checklists tailored to Eastern developer landscapes.
- Signal Monitoring Dashboard: Integrates community metrics directly into standard server health reporting workflows.
SKILL.md
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