algo-nlp-summarization

Pass

Audited by Gen Agent Trust Hub on Apr 10, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is a legitimate implementation guide for NLP summarization. It correctly implements graph-based algorithms (TextRank) and references industry-standard transformer models for abstractive tasks.
  • [EXTERNAL_DOWNLOADS]: The skill references standard machine learning models hosted on Hugging Face (e.g., cross-encoder/nli-deberta-v3-base, facebook/bart-large-mnli, all-MiniLM-L6-v2). Hugging Face is a well-known and trusted service in the AI community. The use of these models is standard practice and follows the intended purpose of the skill.
  • [COMMAND_EXECUTION]: The provided Python code snippets use standard libraries (math, re, collections, transformers, spacy) for algorithmic processing. No dangerous shell commands, privilege escalation, or persistence mechanisms are present.
  • [DATA_EXFILTRATION]: There is no evidence of sensitive data access or unauthorized network operations. The network activity is limited to downloading pre-trained models from established repositories.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 10, 2026, 07:10 AM