workflow-creator
Pass
Audited by Gen Agent Trust Hub on Jul 1, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [SAFE]: The skill implements a secure execution model by teaching the agent to author orchestration scripts that run in a restricted environment. A provided linter (
scripts/validate-workflow.mjs) automatically detects and blocks the use of sensitive Node.js host APIs such asfs,process, andrequirewithin the orchestrator script.\n- [SAFE]: External references, including the installation repositorygithub.com/ray-amjad/claude-code-workflow-creator.git, are legitimate vendor resources used for providing the skill's reference materials and examples.\n- [SAFE]: Instructions emphasize safety best practices, such as implementing budget guards in loops and ensuring determinism to support reliable execution and resume functionality.\n- [PROMPT_INJECTION]: Workflows authored using this skill may ingest untrusted external data (e.g., CSV files or logs), representing a surface for indirect prompt injection where malicious content in those files could influence subagent behavior.\n - Ingestion points: Data enters via the
argsglobal variable or through file reads within subagent prompt templates (e.g., in thecustomer-feedback-theme-extractor.jsexample).\n - Boundary markers: Code templates do not consistently mandate the use of XML tags or explicit 'ignore' instructions when interpolating external data into prompts.\n
- Capability inventory: Subagents managed by the workflows have access to standard agentic tools, including shell access and filesystem modifications.\n
- Sanitization: The skill provides patterns for normalizing data structure (e.g., JSON parsing) but does not enforce content-level sanitization for ingested data.
Audit Metadata