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Skill scan report

peft

View on GitHub
0 Clean No risk patterns detected.

What this skill does

Parameter-efficient fine-tuning (PEFT) for large language models (LLMs) using methods like LoRA and QLoRA. The skill provides guidance on when and how to use PEFT for efficient model training and depl

github/orchestra-research - general - 10.8k stars

ThreatsNo threats detected

Threat analysis

No risk categories triggeredclean

Skill info

Nameorchestra-research/peft
Registrygithub
Version773a529
PURLpkg:github/Orchestra-Research/AI-Research-SKILLs@773a529?skill=peft
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 peft? Report an issue or request a rescan.

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