T09 · Insecure Skill Coding Practices
Warning
- Location
scripts/pattern_learner.py:58- Finding
Unredacted Collection and Persistent Storage of Potentially Sensitive Workspace Content
- Content
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- Remediation
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Security audit
Pattern Recognition
Security checks for vulnerabilities and agentic risk
Overview
The skill’s purpose is coherent, but it broadly learns from local memory and log files and stores raw examples in persistent plaintext without enough disclosure or redaction.
Review this skill before installing. It should only be used in workspaces where memory, logs, and metrics are safe to scan, or after adding redaction, narrower input allowlists, explicit opt-in, restrictive file permissions, retention limits, and a way to delete learned data.
Vulnerability Patterns
- Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
- 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
Findings (1)
Vulnerability Patterns
- Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
- Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
- Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
- Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
- Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)
Missing User Warnings
Medium
- Category
- Not specified by scanner
- Confidence
- 89% confidence
- Finding
The skill is designed to learn from operations, error logs, resource usage, and memory/task data, but it provides no warnings or safeguards about sensitive-data exposure, data minimization, or integrity risks. In this context, pattern-learning features can aggregate secrets, internal paths, operational behaviors, or confidential task content into derived templates and suggestions, increasing the chance of unintended disclosure or harmful automation.
- Content