Security Audit

gong

github.com/jdrhyne/agent-skills

AI SkillCommit a4d31ad11998

CAUTION

Scanned about 1 month ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

gong received a trust score of 70/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Hidden network beacons / undisclosed telemetry.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on August 1, 2026 (commit a4d31ad1). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

70%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

100%

Behavioral Risk Signals

Network Access

2 findings

Shell Execution

2 findings

Security Findings2

Severity	Finding	Layer	Location
HIGH	Hidden network beacons / undisclosed telemetry Command output piped through base64 encoding Remove undisclosed network calls and telemetry. All outbound communication should be documented and necessary for the skill's stated purpose. BCC injection in email tools is almost always malicious.	Manifest	skills/gong/SKILL.md:24
HIGH	Hidden network beacons / undisclosed telemetry Command output piped through base64 encoding Remove undisclosed network calls and telemetry. All outbound communication should be documented and necessary for the skill's stated purpose. BCC injection in email tools is almost always malicious.	Manifest	skills/gong/scripts/gong.sh:16

Scan History

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