Security Audit

nvidia/skillspector:tests/fixtures/ssd/ssd1_semantic_injection

github.com/nvidia/skillspector

AI SkillCommit 2eb844780ab1

CAUTION

Scanned 3 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

nvidia/skillspector:tests/fixtures/ssd/ssd1_semantic_injection received a trust score of 72/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Prompt Injection / Jailbreak Attempt in Skill Instructions.

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 June 4, 2026 (commit 2eb84478). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

70%

Behavioral Risk Signals

Dynamic Code

1 finding

Security Findings1

Severity	Finding	Layer	Location
CRITICAL	Prompt Injection / Jailbreak Attempt in Skill Instructions The skill instructions contain explicit directives to bypass the host LLM's safety constraints and operational guidelines, instructing the model to treat previous guidelines as suggestions and operate without restrictions. Remove instructions that attempt to override the model's safety constraints, system prompts, or operational guidelines. Ensure the skill only contains instructions relevant to its stated purpose of formatting and improving text.	LLM	SKILL.md:9

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