Trust Assessment
papi received a trust score of 95/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Potential Data Exfiltration via Arbitrary Webhook URL.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Potential Data Exfiltration via Arbitrary Webhook URL The skill's underlying API, as described, allows configuring webhooks with an arbitrary URL via the `POST /api/instances/:id/webhook` endpoint. If the skill exposes this functionality to the LLM without strict validation or allowlisting of the `url` parameter, a malicious prompt could instruct the LLM to set a webhook to an attacker-controlled server. This could lead to the exfiltration of sensitive WhatsApp messages and status updates from the connected instance. Implement strict validation and allowlisting for webhook URLs within the skill's tool definition. Restrict the LLM's ability to set arbitrary URLs for webhooks. Ensure that any configuration of external webhooks requires explicit user consent or is limited to pre-approved, secure endpoints. | LLM | SKILL.md:107 |
Scan History
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