agent-runbook-authoring
Pass
Audited by Gen Agent Trust Hub on Oct 24, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes repository files and user-provided inputs to drive automated workflows, creating an attack surface for indirect instructions.\n
- Ingestion points: Workflow instructions are read from
brief.mdand repository configuration files as described inreferences/runbook-review-loop/prompts/common.md.\n - Boundary markers: The orchestration framework uses
--- message ---delimiters for subagent isolation and provides instructions for agents to focus on specific runbook files.\n - Capability inventory: The orchestration engine in
references/agent_runbooks.pycan execute shell commands, write to the filesystem, and manage subagent sessions.\n - Sanitization: The engine uses
shlex.quotefor proper escaping of command-line arguments.\n- [COMMAND_EXECUTION]: The skill executes shell commands as part of its core workflow automation logic.\n - Evidence: Subagents are instructed to run project 'checks' (shell commands) provided via user input or repository metadata in
references/runbook-review-loop/prompts/common.md.\n- [DYNAMIC_EXECUTION]: The engine supports executing dynamic Python logic defined within runbook flow scripts.\n - Evidence: The
CodeStepimplementation inreferences/agent_runbooks.pyenables the execution of Python functions defined inflow.pyat runtime.
Audit Metadata