Trust Assessment
kalshi-agent received a trust score of 79/100, 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, 1 high, 1 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Unpinned npm dependency in install script.
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 14, 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 | |
|---|---|---|---|---|
| HIGH | Unpinned npm dependency in install script The `install.sh` script installs the `kalshi-cli` package globally using `npm install -g kalshi-cli` without specifying a version. This makes the installation vulnerable to supply chain attacks. If a malicious version of `kalshi-cli` is published or if the package maintainer's account is compromised, future installations could pull the malicious version, potentially leading to arbitrary code execution on the user's system. Pin the `kalshi-cli` dependency to a specific, known-good version (e.g., `npm install -g kalshi-cli@1.2.3`). Regularly review and update the pinned version to incorporate security fixes. | LLM | install.sh:8 | |
| MEDIUM | Sensitive environment variable access: $HOME Access to sensitive environment variable '$HOME' detected in shell context. Verify this environment variable access is necessary and the value is not exfiltrated. | Static | skills/jthomasdevs/kalshi-agent/install.sh:15 |
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