Run a full audit of the user's Claude Code configuration via the Agent Monitor Config Explorer API: counts per surface (user vs project), duplicate or overlapping skills and subagents, hooks that run shell commands, and which surfaces are read-only vs mutable. Reads /api/cc-config/overview, /skills, /agents, /commands, /hooks, and /settings. Use when reviewing your Claude Code setup for sprawl, duplication, or risk.
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Produce a complete, data-backed audit of how the user's ~/.claude
configuration has grown, what overlaps, and what is risky — all read through
the Agent Monitor dashboard at http://localhost:4820.
The user provides: $ARGUMENTS
This may be:
?cwd= — to audit a project other than the
dashboard server's own working directory.| Endpoint | Returns |
|---|---|
GET /api/cc-config/overview | roots + counts for every surface, split {user,project} where applicable (skills, agents, commands, outputStyles, plugins, mcpServers, hooks, memory, settingsFiles) |
GET /api/cc-config/skills | { items:[{ scope, name, file, size, mtime, frontmatter, preview }] } |
GET /api/cc-config/agents | { items:[{ scope, name, file, size, mtime, frontmatter, preview }] } |
GET /api/cc-config/commands | { items:[{ scope, name, file, size, mtime, frontmatter, preview }] } |
GET /api/cc-config/hooks | { items:[{ scope, file, exists, hooks:{ <Event>:[{matcher,type,command,timeout}] } }] } |
GET /api/cc-config/settings | { items:[{ scope, file, exists, data(redacted), raw_size }] } |
From /overview counts, print a table: one row per surface with user,
project, and total columns. Cover skills, agents, commands, output-styles,
plugins (with enabled/disabled), marketplaces, MCP servers, hooks
(user/project/project-local), memory, and settings files. Echo the resolved
roots so the user knows which claudeHome/project was inspected.
Fetch /skills and /agents. Detect:
name at both user and project
scope (project shadows user). List both file paths.frontmatter.description / preview
describe the same job. Group them and recommend keeping one.Flatten /hooks to (scope, file, Event, matcher, type, command, timeout).
Flag every type: "command" entry. Within those, escalate ones that contain
network egress (curl, wget, http, nc) or run unbounded with no
timeout. Print the raw command so the user can review it.
State which surfaces the Config Explorer can mutate (skills, agents, commands,
output-styles, user/project CLAUDE.md, and per-project auto-memory files via
PUT/DELETE /api/cc-config/file) versus those that are read-only by design
(plugins, MCP servers, settings.json and its in-file hooks — written
concurrently by the running CLI). Direct cleanup suggestions only at mutable
surfaces; for read-only ones, name the source file to edit by hand.
Surface | User | Project | Total).file paths.Scope | Event | Matcher | Command | Risk).http://localhost:4820, say so and tell
the user to start it with npm start from the repo root.还没有评价。欢迎分享你的使用感受。
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Inspect fired CCAM alerts and manage alert rules for token thresholds, event patterns, inactivity, and status duration. Use when acknowledging alerts, creating or editing a rule, checking cooldowns, or connecting alert rules to webhook targets.
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Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).
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Produce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.
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Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.
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Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a spend limit or wiring up a budget guardrail.
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Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.
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