assessment

Warn

Audited by Socket on Mar 4, 2026

1 alert found:

Anomaly
AnomalyLOW
SKILL.md

This skill's behavior is coherent with its stated purpose: it gathers conversational input and reads adjacent domain reference files to produce evidence-based assessments. There is no direct malicious code, no hardcoded secrets, no network exfiltration endpoints, and no download-and-execute patterns in the provided fragment. The primary supply-chain/security concerns are transitive installation via `npx skills add ...` (un-pinned, introduces a trust chain and potential for arbitrary code execution) and the skill's expectation to read files via relative ../ paths (increases the chance of unintended file access). Treat this skill as functionally benign but with a moderate supply-chain risk: require pinned versions or integrity checks for any transitive installs, audit the referenced third-party skill(s) before installing, and ensure the agent's filesystem permissions and working directory are constrained so the skill cannot read unrelated sensitive files.

Confidence: 75%Severity: 65%
Audit Metadata
Analyzed At
Mar 4, 2026, 08:55 AM
Package URL
pkg:socket/skills-sh/borisghidaglia%2Fscience-based-lifter%2Fassessment%2F@a1ba8cbdbab930c4e6fdde101217ea49e3b75d4b