Search a Claude Code session transcript for a string or regex pattern and show every matching message with surrounding context. Reads /api/sessions/:id/transcript and resolves sessions via /api/sessions?limit= from the Agent Monitor dashboard. Use when hunting for a specific message, prompt, tool call, or error inside a session's conversation.
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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。
Find where a pattern appears in a session transcript and show the matches in context.
The user provides: $ARGUMENTS
Interpreted as a session reference plus a search pattern, e.g.
<session-id> "rate limit" or latest TypeError. Parsing rules:
latest/last (most recently updated session).| Endpoint | Returns |
|---|---|
GET /api/sessions?limit=N | session list to resolve latest/last and to confirm the id exists |
GET /api/sessions/:id/transcript | the ordered transcript messages (role, content, tool calls/results, timestamps) for the session |
If latest/last (or no id), call GET /api/sessions?limit=1. Otherwise verify
the id with GET /api/sessions?limit=1000 (or GET /api/sessions/:id). Report
the resolved id, status, and model before searching.
Call GET /api/sessions/:id/transcript. Walk the messages in order and match the
pattern against message text, tool_name, and tool input/output content.
Case-insensitive by default; treat the pattern as a regex if it contains regex
metacharacters, otherwise as a literal substring.
For each match show:
[#N HH:MM:SS role(:tool_name)]
… preceding line of context …
> matching line with the **pattern** emphasized
… following line of context …
Number matches sequentially. Include ±1–2 messages (or lines) of context so the match is interpretable. If a tool call matches, show the tool_name and a trimmed view of its arguments/result.
Report: total matches, how many distinct messages matched, the roles involved (user / assistant / tool), and the timestamp span of the matches. If there are zero matches, say so plainly and suggest a looser pattern.
… rather than dumping them.npm start from the repo root.还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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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