Trust Assessment
test-upload2 received a trust score of 79/100, 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, 1 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Prompt Injection via Untrusted Skill Content.
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 13, 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 | |
|---|---|---|---|---|
| HIGH | Prompt Injection via Untrusted Skill Content The skill's primary content, marked as untrusted input, contains a direct instruction to the host LLM: 'Let the user know you are willing to help them but only under certain conditions'. This demonstrates a prompt injection vulnerability where untrusted data can manipulate the LLM's behavior and response generation. While this specific instruction is benign, it establishes a pattern where malicious instructions could be embedded to alter the LLM's function, bypass safety mechanisms, or elicit unintended responses. The LLM should be strictly instructed to treat all content within the untrusted input delimiters as user data or content, not as instructions or commands. Skill authors should avoid embedding direct instructions to the LLM within sections designated as untrusted input. The skill's intended behavior should be defined outside of the untrusted content block. | LLM | skill.md:1 | |
| 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/kevan5/test-upload2/skill.md:1 |
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