aiml-clickbait-benchmark
CommunityBenchmark clickbait detection for ISC safety.
Authorwuyoscar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ISC template for evaluating safety-related ML benchmarks by detecting and analyzing clickbait patterns in AI safety contexts.
Core Features & Use Cases
- Automated Benchmarking: Runs clickbait detection on supplied articles and reports results.
- Domain Coverage Validation: Ensures all misinformation domains are represented in the dataset.
- Use Case: Use this skill to validate your dataset's realism before deploying a moderation model.
Quick Start
Run the benchmark on headlines.json to evaluate the clickbait detector.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: aiml-clickbait-benchmark Download link: https://github.com/wuyoscar/ISC-Bench/archive/main.zip#aiml-clickbait-benchmark Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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