learning-graph-generator
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructions suggest cloning a sample textbook template from the author's GitHub repository to initialize the project environment. This is a vendor-owned resource.
- Evidence:
git clone https://github.com/dmccreary/intelligent-book-templateinSKILL.md. - [COMMAND_EXECUTION]: The skill workflow requires executing several bundled Python scripts and a shell script to perform graph quality analysis, taxonomy assignment, and JSON schema validation.
- Evidence: Execution patterns for
analyze-graph.py,add-taxonomy.py,csv-to-json.py, andvalidate-learning-graph.shdescribed inSKILL.md. - [INDIRECT_PROMPT_INJECTION]: The skill processes user-supplied course descriptions to generate concepts and labels. A malicious course description could attempt to influence the agent's behavior during this generation step.
- Ingestion points:
docs/course-description.mdas specified in the Step 1 assessment process inSKILL.md. - Boundary markers: The skill does not explicitly define delimiters or 'ignore' instructions for the ingested content.
- Capability inventory: The skill has file-system write access and the ability to execute the provided Python scripts.
- Sanitization: Data is processed into structured CSV and JSON formats using the
csvandjsonPython modules.
Audit Metadata