Trust Assessment
agentguard received a trust score of 89/100, 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, 1 medium, and 2 low severity. Key findings include Missing required field: name, Unpinned external 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 12, 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/manas-io-ai/agentguard/SKILL.md:1 | |
| LOW | Unpinned external dependencies The skill uses external Python libraries (`PyYAML` and `watchdog`) without specifying exact versions. This can lead to supply chain risks if a vulnerable version of these libraries is installed in the execution environment. An attacker could potentially exploit known vulnerabilities in older library versions of these dependencies. Pin all external dependencies to specific, known-good versions in a `requirements.txt` file (e.g., `PyYAML==5.4.1`, `watchdog==2.1.6`). Regularly update and audit these dependencies. | LLM | execution/alerter.py:60 | |
| LOW | Unpinned external dependencies The skill uses external Python libraries (`PyYAML` and `watchdog`) without specifying exact versions. This can lead to supply chain risks if a vulnerable version of these libraries is installed in the execution environment. An attacker could potentially exploit known vulnerabilities in older library versions of these dependencies. Pin all external dependencies to specific, known-good versions in a `requirements.txt` file (e.g., `PyYAML==5.4.1`, `watchdog==2.1.6`). Regularly update and audit these dependencies. | LLM | execution/monitor.py:20 |
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