Trust Assessment
ensembl-database received a trust score of 73/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 5 findings: 0 critical, 0 high, 3 medium, and 2 low severity. Key findings include Suspicious import: requests, Network egress to untrusted endpoints, Covert behavior / concealment directives.
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 12, 2026 (commit 458b1186). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings5
| 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 | cli-tool/components/skills/scientific/ensembl-database/scripts/ensembl_query.py:12 | |
| MEDIUM | Network egress to untrusted endpoints HTTP request to raw IP address Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains. | Manifest | cli-tool/components/mcps/devtools/figma-dev-mode.json:4 | |
| MEDIUM | Unpinned Python package dependencies The installation instructions recommend installing Python packages (`ensembl_rest`, `requests`) without specifying a version. This can lead to supply chain risks if a future version of these packages introduces vulnerabilities, breaking changes, or is compromised. While `requests` is a widely used and generally stable library, `ensembl_rest` might be less frequently audited, increasing the risk. Pin package versions in the installation instructions (e.g., `ensembl_rest==X.Y.Z`, `requests==A.B.C`) or provide a `requirements.txt` file with pinned versions and hashes to ensure deterministic and secure dependency resolution. | Static | SKILL.md:249 | |
| LOW | Covert behavior / concealment directives Multiple zero-width characters (stealth text) Remove hidden instructions, zero-width characters, and bidirectional overrides. Skill instructions should be fully visible and transparent to users. | Manifest | cli-tool/components/mcps/devtools/jfrog.json:4 | |
| LOW | Unpinned Python package dependencies The installation instructions recommend installing Python packages (`ensembl_rest`, `requests`) without specifying a version. This can lead to supply chain risks if a future version of these packages introduces vulnerabilities, breaking changes, or is compromised. While `requests` is a widely used and generally stable library, `ensembl_rest` might be less frequently audited, increasing the risk. Pin package versions in the installation instructions (e.g., `ensembl_rest==X.Y.Z`, `requests==A.B.C`) or provide a `requirements.txt` file with pinned versions and hashes to ensure deterministic and secure dependency resolution. | Static | SKILL.md:255 |
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