oma-orchestration
Fail
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: HIGHCOMMAND_EXECUTIONPRIVILEGE_ESCALATIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [PRIVILEGE_ESCALATION]: The skill configuration explicitly enables flags that bypass human-in-the-loop safety approvals for multiple agent tools.
- In
config/cli-config.yaml, theauto_approve_flagis set to--dangerously-skip-permissionsfor theclaudeandantigravityvendors. - Similar bypass flags like
--yoloand--trust-all-toolsare configured for theqwen,cursor, andkiroagents. - These settings allow sub-agents to perform potentially destructive actions or access sensitive resources without the user's explicit consent, effectively escalating their effective permissions within the system.
- [COMMAND_EXECUTION]: The skill uses wrapper scripts to execute external command-line tools for agent spawning and verification.
scripts/spawn-agent.shandscripts/parallel-run.shexecute theomabinary with user-supplied arguments, which are then passed to external LLM CLIs.scripts/verify.shexecutes verification logic for different agent types using theoma verifycommand.- [INDIRECT_PROMPT_INJECTION]: The orchestration workflow involves ingesting complex instructions and managing data flow between multiple specialized agents, creating a risk for malicious instructions to be propagated through the system.
- Ingestion points: The orchestrator reads task requirements, project configurations, and sub-agent progress/result files (e.g.,
result-*.mddescribed inSKILL.mdandresources/memory-schema.md). - Boundary markers: The skill uses structured markdown templates and a centralized
task-board.mdto manage state, but it lacks explicit instruction-ignore delimiters in the sub-agent prompt templates defined inresources/subagent-prompt-template.md. - Capability inventory: The skill possesses extensive capabilities including spawning sub-processes, writing to the filesystem, and coordinating agents that may have network access.
- Sanitization: A multi-stage review loop involving mechanical self-checks, automated verification, and a dedicated QA cross-review agent is defined in
SKILL.mdto identify and remediate problematic sub-agent output before acceptance.
Recommendations
- AI detected serious security threats
Audit Metadata