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Agent Skill · 开发

groq-incident-runbook(groq 事件操作手册)

groq-incident-runbook 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

groq-incident-runbook 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 14,773。

总安装 661周安装 27GitHub Stars 2,072下载 212核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:groq-incident-runbook(groq 事件操作手册)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/groq-incident-runbook
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill groq-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

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

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

groq-incident-runbook 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围和维护状态,注意可能触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/groq-incident-runbook

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

groq-incident-runbook 怎么安装?

在终端执行 npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

groq-incident-runbook 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

groq-incident-runbook 需要什么权限?

权限级别是接触敏感数据。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。

groq-incident-runbook 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

groq-incident-runbook 用的人多吗?

公开数据是累计安装 661 次,近一周安装 27 次,下载 212 次,GitHub 2,072 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

groq-incident-runbook 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 2,072 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
groq-incident-runbook

groq 事件操作手册 · 本页

6612,072接触敏感数据MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Groq Incident Runbook

Overview

Rapid incident response procedures for Groq API failures. Groq is a third-party inference provider -- when it goes down, your mitigation options are: wait, fall back to a different model, or fall back to a different provider.

Severity Levels

LevelDefinitionResponse TimeExamples
P1Complete API failure< 15 minGroq API returns 5xx on all models
P2Degraded performance< 1 hourHigh latency, partial 429s, one model down
P3Minor impact< 4 hoursIntermittent errors, non-critical feature affected
P4No user impactNext business dayMonitoring gap, cost anomaly

Quick Triage (Run First)

set -euo pipefail
echo "=== 1. Groq API Status ==="
curl -sf https://status.groq.com > /dev/null && echo "status.groq.com: REACHABLE" || echo "status.groq.com: UNREACHABLE"

echo ""
echo "=== 2. API Authentication ==="
HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
  https://api.groq.com/openai/v1/models \
  -H "Authorization: Bearer $GROQ_API_KEY")
echo "GET /models: HTTP $HTTP_CODE"

echo ""
echo "=== 3. Model Availability ==="
for model in "llama-3.1-8b-instant" "llama-3.3-70b-versatile"; do
  CODE=$(curl -s -o /dev/null -w "%{http_code}" \
    https://api.groq.com/openai/v1/chat/completions \
    -H "Authorization: Bearer $GROQ_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\":\"$model\",\"messages\":[{\"role\":\"user\",\"content\":\"ping\"}],\"max_tokens\":1}")
  echo "$model: HTTP $CODE"
done

echo ""
echo "=== 4. Rate Limit Status ==="
curl -si https://api.groq.com/openai/v1/chat/completions \
  -H "Authorization: Bearer $GROQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3.1-8b-instant","messages":[{"role":"user","content":"ping"}],"max_tokens":1}' \
  2>/dev/null | grep -iE "^(x-ratelimit|retry-after)" || echo "No rate limit headers"

Decision Tree

Is the Groq API responding?
├─ NO (timeout/connection refused):
│   ├─ Check status.groq.com
│   │   ├─ Incident reported → Wait, enable fallback provider
│   │   └─ No incident → Network issue on our side (check DNS, firewall, proxy)
│   └─ Check if api.groq.com resolves: dig api.groq.com
│
├─ YES, but 401/403:
│   ├─ API key revoked or expired → Rotate key
│   └─ Key not set in environment → Check secret manager
│
├─ YES, but 429:
│   ├─ retry-after header present → Wait that many seconds
│   ├─ All models 429 → Org-level limit hit; reduce traffic or upgrade plan
│   └─ One model 429 → Route to a different model
│
├─ YES, but 500/503:
│   ├─ One model → Groq capacity issue on that model; use fallback model
│   └─ All models → Groq-wide outage; enable fallback provider
│
└─ YES, but slow (latency > 2s):
    ├─ Large prompts → Reduce input size
    ├─ 70B model → Switch to 8B for speed
    └─ queue_time high → Groq queue congestion; try different model

Immediate Mitigations

Enable Fallback to Different Model

// If primary model is failing, route to fallback
async function mitigateModelFailure(messages: any[]) {
  const models = [
    "llama-3.3-70b-versatile",  // Primary
    "llama-3.3-70b-specdec",    // Same quality, different infra
    "llama-3.1-8b-instant",     // Fastest, most available
  ];

  for (const model of models) {
    try {
      return await groq.chat.completions.create({
        model,
        messages,
        max_tokens: 1024,
        timeout: 10_000,
      });
    } catch (err: any) {
      console.warn(`Model ${model} failed: ${err.status} ${err.message}`);
      continue;
    }
  }

  throw new Error("All Groq models unavailable");
}

429 Rate Limit — Immediate Actions

set -euo pipefail
# Check exact limit info
curl -si https://api.groq.com/openai/v1/chat/completions \
  -H "Authorization: Bearer $GROQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3.1-8b-instant","messages":[{"role":"user","content":"ping"}],"max_tokens":1}' \
  2>/dev/null | grep -i "x-ratelimit\|retry-after"

# Options:
# 1. Wait for retry-after seconds
# 2. Switch to a different model (each model has separate limits)
# 3. Reduce request volume (disable non-critical features)
# 4. If persistent, upgrade Groq plan at console.groq.com

401 Auth Failure — Key Rotation

set -euo pipefail
# 1. Verify current key
echo "Current key prefix: ${GROQ_API_KEY:0:8}"

# 2. Create new key at console.groq.com/keys
# 3. Test new key
curl -s -o /dev/null -w "%{http_code}" \
  https://api.groq.com/openai/v1/models \
  -H "Authorization: Bearer $NEW_GROQ_KEY"

# 4. Deploy new key to production
# 5. Delete old key in console

Communication Templates

Internal Alert (Slack/PagerDuty)

P[1-4] INCIDENT: Groq API [Error Type]
Status: INVESTIGATING | MITIGATING | RESOLVED
Impact: [What users see]
Current action: [What we're doing]
Fallback: [Enabled/Disabled]
Next update in: [Time]
Commander: @[name]

Status Page (External)

AI Feature Performance Issue

We're experiencing [degraded performance / intermittent errors] with our AI features.
[Feature X] may respond slower than usual.
We've activated backup systems and are monitoring the situation.

Last updated: [timestamp]

Post-Incident

Evidence Collection

set -euo pipefail
INCIDENT_DIR="groq-incident-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$INCIDENT_DIR"

# API diagnostics
curl -s https://api.groq.com/openai/v1/models \
  -H "Authorization: Bearer $GROQ_API_KEY" > "$INCIDENT_DIR/models.json"

# Application logs (redacted)
kubectl logs -l app=your-app --since=1h 2>/dev/null | \
  grep -i "groq\|429\|error\|timeout" | \
  sed 's/gsk_[a-zA-Z0-9]*/gsk_REDACTED/g' | \
  tail -100 > "$INCIDENT_DIR/app-logs.txt"

tar -czf "$INCIDENT_DIR.tar.gz" "$INCIDENT_DIR"
echo "Evidence bundle: $INCIDENT_DIR.tar.gz"

Postmortem Template

## Incident: Groq [Error Type] — [Date]
**Duration:** X hours Y minutes
**Severity:** P[1-4]
**Impact:** [N users affected, feature X degraded]

### Timeline
- HH:MM — First alert fired
- HH:MM — On-call acknowledged, began triage
- HH:MM — Root cause identified: [cause]
- HH:MM — Mitigation applied: [what]
- HH:MM — Resolved, monitoring

### Root Cause
[Was it Groq-side or our side? Rate limit hit? Model deprecated? Key expired?]

### What Went Well
- [Fallback activated automatically]

### What Could Improve
- [Alert fired too late / fallback didn't work / no runbook]

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

Error Handling

IssueCauseSolution
Can't reach status.groq.comNetwork issueUse mobile or different network
All models failingGroq-wide outageEnable fallback provider (OpenAI, etc.)
Key rotation failsNo admin accessEscalate to team lead with console access
Fallback provider also downMulti-provider outageDegrade gracefully, show cached content

Resources

Next Steps

For data handling compliance, see groq-data-handling.

平台分布

Antigravity

78.69%
按下载量换算167

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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