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Skill scan report

Auto-Empirical-Research-Skills

View on GitHub
0 Clean No risk patterns detected.

What this skill does

An academic - industrial AI toolkit for empirical research, providing skills for data cleaning, causal identification, and top-journal submission.

github/brycewang-stanford - general - 2.9k stars

ThreatsNo threats detected

Threat analysis

No risk categories triggeredclean

Skill info

Namebrycewang-stanford/auto-empirical-research-skills
Registrygithub
Versionafe6b6f
PURLpkg:github/brycewang-stanford/Auto-Empirical-Research-Skills@afe6b6f?skill=auto-empirical-research-skills
Stars2.9k

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 Auto-Empirical-Research-Skills? Report an issue or request a rescan.

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