Trust Assessment
polt received a trust score of 86/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Potential Server-Side Request Forgery (SSRF) via localhost API endpoint.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Potential Server-Side Request Forgery (SSRF) via localhost API endpoint The skill's documentation explicitly sets `POLT_API_URL=http://localhost:3000` as the default or suggested API endpoint. If the AI agent is configured to use this URL, it could be coerced into making requests to services running on its host machine. This could allow an attacker to perform Server-Side Request Forgery (SSRF), potentially accessing internal network resources, metadata services, or other sensitive local applications, leading to data exfiltration or unauthorized actions. Configure the skill to use a specific, trusted remote server URL for `POLT_API_URL` by default, rather than `localhost`. Implement strict input validation and sanitization for any user-provided URLs. Ensure the agent's execution environment has network egress filtering to prevent access to internal IP ranges (e.g., 127.0.0.1, 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16). | LLM | SKILL.md:22 |
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