codegraph-qa
Pass
Audited by Gen Agent Trust Hub on Sep 22, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill enables the agent to fetch and analyze content from GitHub issues using
cs.analyze_issueandcodegraph fetch-issue. This data is provided by external users and may contain malicious instructions. - Ingestion points: Data enters the agent context via GitHub issue bodies, titles, and stack traces as described in
SKILL.mdandbug-analysis.md. - Boundary markers: The instructions do not specify the use of delimiters or specific guardrail instructions to disregard commands found within issue text.
- Capability inventory: The skill provides access to local file systems (codebase indexing), graph database execution (
cs.conn.execute), and network connectivity to GitHub via theghCLI. - Sanitization: There is no explicit mechanism described for sanitizing or escaping the natural language content fetched from external issues before it is processed by the agent.
- [COMMAND_EXECUTION]: The skill requires the execution of shell commands for installation and operation, including
pip install codegraph-ai,codegraph init, and theghCLI for GitHub authentication and issue retrieval. These are standard operations for the tool's stated purpose. - [EXTERNAL_DOWNLOADS]: The setup process involves downloading the
codegraph-aipackage from PyPI and retrieving issue data from GitHub's public API. These operations target well-known services and the vendor's own package repository.
Audit Metadata