Session Debug

SkillCommunication

Debug a specific session by inspecting its full event chain (PreToolUse, PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration, Notification events), agent hierarchy (recursive parent/child tree with subagent_type and depth), token usage with compaction baselines, workflow intelligence data (orchestration DAG, error propagation by depth), and session metadata (thinking_blocks, turn_count, total_turn_duration_ms).

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Session Debug skill

What this skill tells your AI

The instructions your AI receives, as published by hoangsonww/claude-code-agent-monitor in plugins/ccam-devtools/skills/session-debug/SKILL.md and read by ahel’s review.

Debug and inspect a Claude Code session from Agent Monitor data.

Input

The user provides: $ARGUMENTS

This may be:

  • A session ID to debug
  • "latest" or "last" for the most recent session
  • "errors" to find and debug the most recent errored session

Procedure

  1. Identify the target session:

    • If session ID given: GET /api/sessions/{id} from http://localhost:4820
    • If "latest": GET /api/sessions?limit=1 (default sort: most recently updated first)
    • If "errors": GET /api/sessions?limit=10&status=error
  2. Collect full session data:

    • Session metadata: status, model, cwd, timestamps, duration
    • Events: GET /api/events?session_id={session_id} — full event timeline
    • Agents: GET /api/agents?session_id={session_id} — all agents in session
    • Cost: GET /api/pricing/cost/{session_id}
  3. Analyze the session:

    Session Lifecycle

    • Start time → first event → last event → end time
    • Status transitions (active → working → completed/error)
    • Total duration and active-vs-idle time

    Event Chain Analysis

    • Chronological event list with timestamps and durations
    • Identify the critical path (longest chain of dependent events)
    • Flag events that took unusually long
    • Highlight error events with full error context

    Agent Inspection

    • List all agents: type, task, status, duration
    • Subagent tree visualization (parent → children)
    • Agents that failed and their last known state
    • Agent switching patterns (when and why new agents spawned)

    Tool Execution Trace

    • Every tool invocation in order with: tool name, duration, success/failure
    • Failed tool calls with error messages
    • Tool retry patterns (same tool called multiple times)

    Anomaly Detection

    • Events out of expected order
    • Gaps in event timeline (>30s with no events)
    • Duplicate events or agent states
    • Token usage spikes (compaction indicators)
  4. Diagnosis:

    • Root cause hypothesis (if errors present)
    • Contributing factors
    • Remediation suggestions

Output Format

Present as a debug report with:

  • Session summary header (ID, status, model, duration, cost)
  • Color-coded timeline (✅ success, ❌ error, ⚠️ warning, ℹ️ info)
  • Agent tree diagram
  • Diagnosis section with numbered findings

Signals

GitHub stars
989
Forks
233
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
session-debug
Source
github.com/hoangsonww/claude-code-agent-monitor