Add Trustabl Agent Scanner to CI - #18
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We came across your repo and we like how you leverage TigerGraph's graph capabilities via an MCP-compliant API, allowing LLM-based agents to retrieve contextual data and reason with connected information. We scanned the repo, and noticed agent runtime reliability findings that might be worth reviewing.
[LOW] CrewAI project ships no agent-guidance doc (AGENTS.md/CLAUDE.md)
In , what it means: The project uses CrewAI in code but ships no agent-guidance doc (AGENTS.
[LOW] LangChain project ships no agent-guidance doc (AGENTS.md/CLAUDE.md)
In , what it means: The project uses LangChain / LangGraph in code but ships no agent-guidance doc (AGENTS.
[LOW] LangChain tool has no description
File: examples/chatbot_langgraph/workflow/task_execution_workflow.py
What it means: LangChain exposes a tool to the model through its description: for an @tool-decorated function or a StructuredTool, the description defaults to the wrapped function's docstring.
Recommendations are based on our understanding of agent runtime reliability, some findings may be intentional. Please let us know if this was intentional or if our findings are helpful so we can improve the accuracy of the scanner.
Best,
Trustabl.ai
Open-source AI agent reliability scanner (runs locally, GitHub Action)