Trace an AI agent or LLM app with Maple so each conversation shows up as one Agent Session with its transcript, model calls, tool calls, tokens, cost and failures. Detects the agent framework (Vercel AI SDK, eve, OpenAI Agents SDK, Mastra, LangChain/LangGraph, Claude Agent SDK, Pydantic AI, LlamaIndex, CrewAI, Google ADK, Strands, smolagents, Agno, DSPy, Haystack, Microsoft Agent Framework, Spring AI, LiteLLM, OpenRouter, raw provider SDKs) and installs the matching per-framework skill. Triggers on 'trace my agent', 'add agent observability', 'LLM tracing with Maple', 'set up Maple agent sessions', 'OpenTelemetry for my AI agent'.
96%
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Low
Low-risk findings worth noting
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill instructs downloading and executing remote agent skills from GitHub via `npx skills` or direct raw URLs referencing MapleTechLabs/maple, representing an unverified third-party operational dependency.
MapleTechLabs/maple
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.