Exa incident runbook
425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill exa-incident-runbookAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
'Execute Exa incident response with triage, mitigation, and postmortem procedures.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
5.9 KB, as published. Nobody here has run it
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 [email protected] for urgent production issues.
Severity Levels
| Level | Definition | Response Time | Example |
|---|---|---|---|
| P1 | All Exa calls failing | < 15 min | 401/500 on every request |
| P2 | Degraded performance | < 1 hour | High latency, partial failures |
| P3 | Minor impact | < 4 hours | Empty results, content fetch failures |
| P4 | No user impact | Next business day | Monitoring 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: [email protected]
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
| Issue | Cause | Solution |
|---|---|---|
| Intermittent 5xx | Exa server issues | Retry with backoff, check status page |
| All requests 401 | API key rotated/expired | Regenerate at dashboard.exa.ai |
| Sudden empty results | Exa index issue | Switch search type, broaden query |
| Latency spike | Exa under load | Use fast type, enable caching |
Resources
Next Steps
For data handling, see exa-data-handling. For debugging, see exa-debug-bundle.