Trust Assessment
openai-tts received a trust score of 49/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 1 medium, and 0 low severity. Key findings include Unsafe environment variable passthrough, Credential harvesting, Unpinned dependencies in skill description.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 55/100, indicating areas for improvement.
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 | |
|---|---|---|---|---|
| CRITICAL | Credential harvesting Reading well-known credential environment variables Skills should only access environment variables they explicitly need. Bulk environment dumps (os.environ.copy, JSON.stringify(process.env)) are almost always malicious. Remove access to Keychain, GPG keys, and credential stores. | Manifest | skills/merend/openai-tts-python/openai_tts.py:103 | |
| HIGH | Unsafe environment variable passthrough Access to well-known credential environment variables Minimize environment variable exposure. Only pass required, non-sensitive variables to MCP servers. Use dedicated secret management instead of environment passthrough. | Manifest | skills/merend/openai-tts-python/openai_tts.py:103 | |
| MEDIUM | Unpinned dependencies in skill description The skill's documentation (`skill.md`) lists `openai` and `pydub` as dependencies without specifying exact versions. This practice can lead to supply chain vulnerabilities, as future versions of these packages might introduce breaking changes, security flaws, or even malicious code if a package maintainer's account is compromised. It also makes the build non-deterministic, potentially leading to different behavior across environments. Specify exact versions for all dependencies (e.g., `openai==1.12.0`, `pydub==0.25.1`) in a `requirements.txt` file or similar dependency management system. Ensure the skill's environment is built using these pinned versions to guarantee reproducibility and mitigate risks from unexpected updates or compromised package versions. | LLM | skill.md:43 |
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