Trust Assessment
vikunja 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 Suspicious import: requests, Unpinned Python Dependencies.
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 | |
|---|---|---|---|---|
| MEDIUM | Suspicious import: requests Import of 'requests' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/dbhurley/vikunja/scripts/vikunja.py:30 | |
| MEDIUM | Unpinned Python Dependencies The skill's Python script `scripts/vikunja.py` declares dependencies (`requests`, `rich`) without specifying exact versions. This can lead to supply chain vulnerabilities if a future version of a dependency introduces breaking changes, security flaws, or malicious code. An attacker could potentially compromise a dependency and have their malicious code pulled into the skill. Pin all Python dependencies to exact versions (e.g., `requests==2.28.1`, `rich==13.7.0`). Regularly review and update these pinned versions to incorporate security patches and new features, while carefully checking for breaking changes or malicious updates. | LLM | scripts/vikunja.py:3 |
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