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exa-incident-runbookexa 事件操作手册

Agent Skill

exa-incident-runbook 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

570

周安装

24

GitHub Stars

2,105

下载量

73
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:exa-incident-runbook(exa 事件操作手册)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/exa-incident-runbook
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill exa-incident-runbook
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill exa-incident-runbook

简介

exa-incident-runbook 提供针对 Exa 搜索 API 故障的快速响应流程与分级处理指南。

  • 适合运维团队在发生服务中断或性能下降时进行紧急排查与上报。
  • 包含错误码解读、请求 ID 追踪和不同严重级别下的应对策略。
  • 需配合监控系统和日志工具使用,确保能及时捕获异常并定位问题根源。
  • P1 级故障需在 15 分钟内响应,建议提前准备好联系渠道和技术支持信息。

SKILL.md

Exa Incident Runbook

Overview

Rapid incident response procedures for Exa search API issues. Exa errors include a requestId field for support escalation. Default rate limit is 10 QPS. Contact hello@exa.ai for urgent production issues.

Severity Levels

LevelDefinitionResponse TimeExample
P1All Exa calls failing< 15 min401/500 on every request
P2Degraded performance< 1 hourHigh latency, partial failures
P3Minor impact< 4 hoursEmpty results, content fetch failures
P4No user impactNext business dayMonitoring gaps

Quick Triage (Run First)

set -euo pipefail
echo "=== Exa Triage ==="

# 1. Test API connectivity
echo -n "API Status: "
HTTP_CODE=$(curl -s -o /tmp/exa-triage.json -w "%{http_code}" \
  -X POST https://api.exa.ai/search \
  -H "x-api-key: $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"triage test","numResults":1}')
echo "$HTTP_CODE"

# 2. Show error details if not 200
if [ "$HTTP_CODE" != "200" ]; then
  echo "Error response:"
  cat /tmp/exa-triage.json | python3 -m json.tool 2>/dev/null || cat /tmp/exa-triage.json
fi

# 3. Check if it's a key issue
echo ""
echo "API Key: ${EXA_API_KEY:+SET (${#EXA_API_KEY} chars)}"

Decision Tree

Exa API returning errors?
├── YES: What HTTP code?
│   ├── 401 → API key invalid/expired → Regenerate at dashboard.exa.ai
│   ├── 402 → Credits exhausted → Top up at dashboard.exa.ai
│   ├── 429 → Rate limited → Implement backoff, enable caching
│   ├── 5xx → Exa server issue → Retry with backoff, wait for resolution
│   └── 400 → Bad request → Fix request parameters
└── NO: Is search quality degraded?
    ├── Empty results → Broaden query, check date/domain filters
    ├── Low relevance → Switch search type, rephrase query
    └── Slow responses → Switch to faster search type, add caching

Immediate Actions by Error Code

401/403 — Authentication

set -euo pipefail
# Verify API key
echo "Key present: ${EXA_API_KEY:+yes}"
echo "Key length: ${#EXA_API_KEY}"

# Test with a simple search
curl -v -X POST https://api.exa.ai/search \
  -H "x-api-key: $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"auth test","numResults":1}' 2>&1 | grep "< HTTP"

# Fix: regenerate key at dashboard.exa.ai and update env

429 — Rate Limited

// Enable emergency caching to reduce API calls
import { LRUCache } from "lru-cache";

const emergencyCache = new LRUCache<string, any>({
  max: 10000,
  ttl: 30 * 60 * 1000, // 30-minute emergency TTL
});

// Reduce concurrent requests
import PQueue from "p-queue";
const queue = new PQueue({ concurrency: 3, interval: 1000, intervalCap: 5 });

5xx — Exa Server Errors

// Enable graceful degradation
async function searchWithFallback(query: string, opts: any) {
  try {
    return await exa.searchAndContents(query, opts);
  } catch (err: any) {
    if (err.status >= 500) {
      console.error(`[Exa] ${err.status}: ${err.message} (requestId: ${err.requestId})`);
      // Return cached results or show degraded UI
      const cached = emergencyCache.get(query);
      if (cached) return cached;
      return { results: [], _degraded: true };
    }
    throw err;
  }
}

Communication Templates

Internal (Slack)

P[1-4] INCIDENT: Exa Search Integration
Status: INVESTIGATING
Impact: [Describe user impact]
Error: [HTTP code] [error tag]
RequestId: [from error response]
Current action: [What you're doing]
Next update: [Time]

Support Escalation

To: hello@exa.ai
Subject: [P1/P2] Production issue — [brief description]

RequestId: [from error response]
Timestamp: [ISO 8601]
HTTP Status: [code]
Error Tag: [tag from response]
Frequency: [every request / intermittent / percentage]
Impact: [number of affected users/requests]

Post-Incident

Evidence Collection

set -euo pipefail
# Capture recent error logs
kubectl logs -l app=exa-integration --since=1h 2>/dev/null | grep -i "error\|429\|500" | tail -50

# Capture metrics snapshot
curl -s "localhost:9090/api/v1/query?query=rate(exa_search_error[1h])" 2>/dev/null

Postmortem Template

## Incident: Exa [Error Type]
**Date:** YYYY-MM-DD | **Duration:** Xh Ym | **Severity:** P[1-4]

### Summary
[1-2 sentence description]

### Timeline
- HH:MM — First error detected
- HH:MM — Triage began
- HH:MM — Root cause identified
- HH:MM — Mitigation applied
- HH:MM — Full recovery

### Root Cause
[Technical explanation]

### Action Items
- [ ] [Preventive measure] — Owner — Due date

Error Handling

IssueCauseSolution
Intermittent 5xxExa server issuesRetry with backoff, check status page
All requests 401API key rotated/expiredRegenerate at dashboard.exa.ai
Sudden empty resultsExa index issueSwitch search type, broaden query
Latency spikeExa under loadUse fast type, enable caching

Resources

Next Steps

For data handling, see exa-data-handling. For debugging, see exa-debug-bundle.

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能力概览

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.39%
按下载量换算25

Claude

31.01%
按下载量换算23

Cursor

19.22%
按下载量换算14

Gemini CLI

8.95%
按下载量换算7

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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