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Skill scan report

huggingface-tokenizers

View on GitHub
0 Clean No risk patterns detected.

What this skill does

Fast tokenization for NLP tasks, with support for BPE, WordPiece, and Unigram algorithms. Designed for research and production use, with a Rust-based implementation for performance.

github/orchestra-research - general - 10.8k stars

ThreatsNo threats detected

Threat analysis

No risk categories triggeredclean

Skill info

Nameorchestra-research/huggingface-tokenizers
Registrygithub
Version773a529
PURLpkg:github/Orchestra-Research/AI-Research-SKILLs@773a529?skill=huggingface-tokenizers
Stars10.8k

Assessments

No risk patterns detected in this scan. A clean automated scan is a good signal, not a guarantee.

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of huggingface-tokenizers? Report an issue or request a rescan.

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