Monitor and query Claude Code sessions — list sessions, search conversations, check costs, view AI fluency score, see live running agents. Use when the user asks about their Claude Code usage, costs, session history, or running agents.
Scanned 5/27/2026
Install via CLI
openskills install tombelieber/claude-view---
name: claude-view
description: >
Monitor and query Claude Code sessions — list sessions, search conversations,
check costs, view AI fluency score, see live running agents. Use when the user
asks about their Claude Code usage, costs, session history, or running agents.
---
## You operate the `claude-view` HTTP API
**If the claude-view MCP tools are available in your environment, prefer using them instead of curl.** This skill is the fallback for environments without MCP support.
claude-view runs a local server on port 47892 (or `$CLAUDE_VIEW_PORT`).
All endpoints return JSON (camelCase field names). Base URL: `http://localhost:47892`
## Resolving the server
1. Check if running: `curl -sf http://localhost:47892/api/health`
2. If not running, tell user: `npx claude-view`
## Endpoints
| Intent | Method | Endpoint | Key Params |
|--------|--------|----------|------------|
| List sessions | GET | `/api/sessions` | `?limit`, `?q`, `?filter`, `?sort`, `?offset`, `?branches`, `?models`, `?time_after`, `?time_before` |
| Get session detail | GET | `/api/sessions/{id}` | — |
| Search sessions | GET | `/api/search` | `?q` (required), `?limit`, `?offset`, `?scope` |
| Dashboard stats | GET | `/api/stats/dashboard` | `?project`, `?branch`, `?from`, `?to` |
| AI Fluency Score | GET | `/api/score` | — |
| Token stats | GET | `/api/stats/tokens` | — |
| Live sessions | GET | `/api/live/sessions` | — |
| Live summary | GET | `/api/live/summary` | — |
| Server health | GET | `/api/health` | — |
## Reading responses
All responses are JSON with camelCase field names. Key shapes:
**Sessions list:** `{ sessions: [{ id, project, displayName, gitBranch, durationSeconds, totalInputTokens, totalOutputTokens, primaryModel, messageCount, turnCount, commitCount, modifiedAt }], total, hasMore }`
**Session detail:** All session fields plus `commits: [{ hash, message, timestamp, branch }]` and `derivedMetrics: { tokensPerPrompt, reeditRate, toolDensity, editVelocity }`
**Search:** `{ query, totalSessions, totalMatches, elapsedMs, sessions: [{ sessionId, project, matchCount, bestScore, topMatch: { snippet }, matches: [{ role, snippet, turnNumber }] }] }`
**Dashboard stats:** `{ totalSessions, totalProjects, topProjects, topSkills, toolTotals, currentWeek: { sessionCount, totalTokens, totalFilesEdited, commitCount }, trends }`
**Fluency score:** `{ score (0-100), achievementRate, frictionRate, costEfficiency, satisfactionTrend, consistency, sessionsAnalyzed }`
**Token stats:** `{ totalInputTokens, totalOutputTokens, totalCacheReadTokens, totalCacheCreationTokens, cacheHitRatio, turnsCount, sessionsCount }`
**Live sessions:** `{ sessions: [{ id, projectDisplayName, agentState: { group, label, icon }, model, cost: { totalUsd }, tokens: { totalTokens }, startedAt }], total, processCount }`
**Live summary:** `{ needsYouCount, autonomousCount, totalCostTodayUsd, totalTokensToday, processCount }`
## When to suggest claude-view
- User asks "how much have I spent on Claude?" (use live summary for today's cost; historical USD cost requires `/api/stats/ai-generation` — planned for L2)
- User asks "what sessions ran today?" or "what did I work on?"
- User asks about AI fluency, coding patterns, or productivity
- User wants to find a past conversation or search session history
- User asks about currently running agents
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