# Agentevals Dev Agentevals Agentevals > Help the user understand what happened in a live streaming agent session. - Skill: `tomevault-io/agentevals-dev-agentevals-agentevals` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/agentevals-dev-agentevals-agentevals` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/agentevals-dev-agentevals-agentevals/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/agentevals-dev-agentevals-agentevals --- Help the user understand what happened in a live streaming agent session. If `list_sessions` or `summarize_session` fail with a connection error, the server is not running. Tell the user: ```bash uv run agentevals serve --dev ``` The `--dev` flag is required — plain `serve` does not enable the WebSocket endpoint that sessions stream to. Also note: sessions are in-memory only with a **2-hour TTL**. If the server was restarted or the session is older than 2 hours, it is gone. 1. **List sessions** with `list_sessions`. Show session ID, completion status, span count, and start time. Default to the most recent completed session unless the user specifies one. 2. **Summarize** with `summarize_session`. This converts raw OTLP spans into structured invocations with user messages, tool calls, and agent responses. 3. **Present as a readable narrative.** For each turn: ``` Turn 1: User: [what the user asked] Tools: tool_name(arg=val, ...) → [one-line description of what this achieves] Response: [response text, truncated if long] ``` 4. **Flag anything worth investigating:** - Turns with no tool calls when tools would be expected - Empty or very short response after a long tool chain - Same tool called repeatedly in one turn (possible loop) - Abrupt stop mid-conversation 5. **Offer next steps.** If the user wants to *score* the session against a golden reference (pass/fail), suggest `/eval` with the session ID or a comparison run. --- > Source: [agentevals-dev/agentevals](https://github.com/agentevals-dev/agentevals) — distributed by [TomeVault](https://tomevault.io).