exposure-investigation

exposure-investigation is an Application security skill for AI agents, published by SCStelz in the security-investigator repository on GitHub. Skillspace rates exposure-investigation F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

Use this skill when asked to generate a vulnerability and exposure management report, assess security posture, or review CVEs, security configurations, and attack paths. Triggers on keywords like "vulnerability report", "exposure report", "CVE assessment", "security posture", "vulnerability assessment", "exposure management", "patch status", "end of support", "security recommendations", "attack paths", "critical assets", "configuration compliance", "Defender device health", "security score", "TVM", "threat and vulnerability management", or when asking about overall organizational vulnerability/exposure state. This skill queries DeviceTvm* tables and ExposureGraphNodes/Edges to produce a comprehensive posture report covering CVEs, exploitable vulnerabilities, security configuration compliance, end-of-support software, critical asset inventory, attack paths, Defender device health, and certificate status. Supports org-wide and per-device scoping with inline chat and markdown file output.

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

230

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

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