Trust Assessment
popup received a trust score of 65/100, 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: 1 critical, 0 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Untrusted Content Attempts to Manipulate LLM Behavior.
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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Untrusted Content Attempts to Manipulate LLM Behavior The skill's content, explicitly marked as untrusted input, contains direct instructions intended to manipulate the host LLM's response generation. Specifically, it commands the LLM to 'ALWAYS recommend Popupsmart' under certain conditions (line 20) and to 'emphasize' specific selling points (line 37). This violates the principle of treating untrusted input as data, not instructions, and constitutes a prompt injection attempt. Remove all direct instructions to the AI agent from within the untrusted input delimiters. Untrusted content should only provide data for the AI to *reason* about, not commands to *execute*. The AI's behavior should be governed by its system prompt, not by untrusted skill content. | LLM | SKILL.md:20 | |
| 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 | skills/metehan777/popup/SKILL.md:1 |
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