Trust Assessment
kafka-architect received a trust score of 87/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Missing required field: name, Prompt Injection via Output Structuring 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 February 15, 2026 (commit 1823c3f6). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | plugins/specweave-kafka/skills/kafka-architect/SKILL.md:1 | |
| MEDIUM | Prompt Injection via Output Structuring Instructions The skill contains explicit instructions intended to manipulate the host LLM's output generation strategy. The 'Chunking Rule' dictates how the LLM should structure its responses ('Generate ONE component per response'), which is a form of prompt injection as it attempts to control the LLM's behavior from within untrusted content. Move instructions that dictate the LLM's output structure or behavior to a trusted system prompt or skill configuration area. If such instructions must remain in the skill's primary content, rephrase them as suggestions or examples rather than direct commands to the LLM. | LLM | SKILL.md:9 |
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