Inventory the installed skills and which plugins contribute them, then flag overlap with the user's own skills — read through the Agent Monitor Config Explorer API. Reads /api/cc-config/skills and /api/cc-config/plugins. Use when managing skills: deduping, deciding what to keep, or tracing a skill back to the plugin that ships it.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Map every skill available to the user — both their own (user/project scope) and
the ones contributed by installed plugins — read through the Agent Monitor
dashboard at http://localhost:4820.
The user provides: $ARGUMENTS
This may be:
name matches.| Endpoint | Returns |
|---|---|
GET /api/cc-config/skills | { items:[{ scope:"user"|"project", name, path, file, size, mtime, frontmatter, preview }] } — the user's own skill directories |
GET /api/cc-config/plugins | { manifestPath, manifestExists, plugins:[{ key, name, marketplace, scope, version, enabled, installPath, contributes:{ skills, agents, commands, outputStyles, hooks } }] } |
From /skills, list each skill with scope, name, size (KB), and
frontmatter.description (or the start of preview). Separate user-scope from
project-scope skills.
From /plugins, list each plugin with enabled state and its
contributes.skills count. Note that /skills reports only the user's own
skill dirs — plugin skills are counted via contributes, so reconcile: total
available skills ≈ user skills + Σ enabled-plugin contributes.skills.
Flag where a plugin name or a plugin's contributed-skill domain overlaps with a
user-authored skill of the same name or purpose (compare against
frontmatter.description from /skills). Recommend keeping one source of truth
— prefer the plugin version if it is maintained upstream, or the user version
if it is customized.
Flag plugins with enabled: false (their skills are inert) and any whose
installPathExists is false (manifest references a missing install) — these are
dead weight to clean up via the Claude Code plugin manager.
Scope | Name | Size | Description).Plugin | Enabled | Skills | Agents | Commands).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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