Trust Assessment
snipara-mcp 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 3 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned Python dependency version, Unpinned or Loosely Pinned 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 Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| 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/alopez3006/snipara-mcp/skill.md:1 | |
| MEDIUM | Unpinned Python dependency version Dependency 'mcp>=1.25.0' is not pinned to an exact version. Pin Python dependencies with exact versions where feasible. | Dependencies | skills/alopez3006/snipara-mcp/pyproject.toml | |
| INFO | Unpinned or Loosely Pinned Dependencies The `pyproject.toml` file specifies dependencies using minimum version specifiers (e.g., `>=1.25.0`) rather than exact versions. This practice can lead to supply chain risks, as new, potentially vulnerable versions of dependencies could be automatically installed without explicit review. While common, exact pinning or the use of a lock file is recommended for security-sensitive applications to ensure build reproducibility and prevent unexpected dependency updates. Pin dependencies to exact versions (e.g., `mcp==1.25.0`) or use a dependency lock file (e.g., `poetry.lock`, `pipenv.lock`, or `requirements.txt` generated with `pip freeze`) to ensure deterministic builds and prevent unexpected updates that might introduce vulnerabilities. | LLM | pyproject.toml:20 |
Scan History
Embed Code
[](https://skillshield.io/report/626369a032c6db18)
Powered by SkillShield