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Skill scan report

exploring-llm-evaluations

View on GitHub
0 Clean No risk patterns detected.

What this skill does

The skill is designed for investigating AI observability evaluations, specifically for analyzing and debugging AI-generated content using three types of evaluations: `hog` (code-based), `llm_judge` (L

github/posthog - general - 37.6k stars

ThreatsNo threats detected

Threat analysis

No risk categories triggeredclean

Skill info

Nameposthog/exploring-llm-evaluations
Registrygithub
Versiond885c87
PURLpkg:github/PostHog/posthog@d885c87?skill=exploring-llm-evaluations
Stars37.6k

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 exploring-llm-evaluations? Report an issue or request a rescan.

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