Security audit

Swarm Janitor

Security checks for vulnerabilities and agentic risk

Overview

This cleanup skill is purpose-aligned but deserves review because it promotes deleting OpenClaw session data, including force and no-archive examples, while the package does not include the script it tells users to run.

Install only if you are comfortable with a tool that can delete OpenClaw session files and handle transcript archives. Use dry-run first, verify the session path and retention settings, avoid --no-archive or --force unless you have separate backups, and be aware that the reviewed package did not include the Python cleanup script referenced by the documentation.

A.I.G

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

SkillSpector

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: 90% confidence
Finding: The skill documentation includes destructive cleanup commands such as --clean --no-archive and --force with only minimal cautionary language, which can normalize irreversible deletion of session data. In a maintenance skill whose stated purpose is to delete files under user session directories, insufficient warnings materially increase the chance of accidental data loss by operators or automation.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.