Trust Assessment
trakt 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 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Unescaped user input in shell script's JSON payload.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Unescaped user input in shell script's JSON payload The `get_trakt_token.sh` script directly interpolates user-provided authorization `CODE` into a JSON payload for a `curl` POST request without proper escaping. An attacker providing a specially crafted `CODE` (e.g., containing double quotes or backslashes) could manipulate the JSON structure, potentially altering the API request parameters, leading to unintended actions on the Trakt API or data manipulation. The user-provided `CODE` variable should be properly escaped before being embedded into the JSON string. A robust solution is to use a JSON processing tool like `jq` to construct the payload, ensuring correct escaping. For example: ```bash JSON_PAYLOAD=$(jq -n \ --arg code "$CODE" \ --arg client_id "$TRAKT_CLIENT_ID" \ --arg client_secret "$TRAKT_CLIENT_SECRET" \ --arg redirect_uri "$REDIRECT_URI" \ '{code: $code, client_id: $client_id, client_secret: $client_secret, redirect_uri: $redirect_uri, grant_type: "authorization_code"}') RESPONSE=$(curl -s -X POST https://api.trakt.tv/oauth/token \ -H "Content-Type: application/json" \ -d "$JSON_PAYLOAD") ``` | LLM | get_trakt_token.sh:45 |
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