langchain-architecture
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
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tessl review fix ./plugins/llm-application-dev/skills/langchain-architecture/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The test demonstrates storing "Remember: the code is 12345" in agent memory and later asserts the agent returns "12345", which requires the LLM to store and output a secret value verbatim (exfiltration risk).
- Repository
- wshobson/agents
- Commit
d6837ae
- Audited
- Security analysis
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