other
Warning
- Location
SKILL.md:44- Finding
Untrusted External Paid Task Delegation Without Disclosure Controls
- Content
View full analysis
- Remediation
View remediation
Security audit
Cipher — Market Intelligence
Security checks for vulnerabilities and agentic risk
Overview
This skill is a thin paid handoff to an external research agent, so users should review data-sharing and payment implications before installing.
Install only if you are comfortable sending the task text to an external paid agent identified only as agent 44231. Do not include credentials, personal data, trade secrets, customer records, or sensitive business plans unless you have separately verified the `mltl` tool, service operator, payment flow, and data-handling terms.
Vulnerability Patterns
- Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
- Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
- Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
- Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
- Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Findings (1)
Vulnerability Patterns
- Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
- Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
- Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
- Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
- Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (1)
Vague Triggers
Medium
- Category
- Not specified by scanner
- Confidence
- 90% confidence
- Finding
The manifest description says 'Use when you need market research, competitive landscape analysis, or pricing intelligence' without defining specific trigger phrases, scope boundaries, or exclusion conditions. This is broad natural-language activation guidance for a markdown/manifest context and could match many ordinary research-related requests unintentionally.
- Content