insforge-debug
InsForgeプロジェクトの問題を診断。フロントエンドSDKエラーからバックエンドインフラストラクチャ障害まで、コマンドを実行して問題を特定しログを出力。
npx skills add insforge/agent-skills --skill insforge-debugBefore / After 効果比較
1 组各サービスの状態を手動で確認し、ログファイルやエラー情報を分散して確認、考えられる問題点を推測し繰り返しテスト。1つの障害特定に1〜2時間かかる。
ワンクリックで診断コマンドを実行し、すべてのログと状態を収集、エラーとイベントを自動で関連付け、5分で障害の根本原因を特定し、詳細な診断レポートを生成。
insforge-debug
InsForge Debug
Diagnose problems in InsForge projects — from frontend SDK errors to backend infrastructure issues. This skill helps you locate problems by running the right commands and surfacing logs/status. It does NOT suggest fixes; hand the diagnostic output to the developer or their agent for repair decisions.
Always use npx @insforge/cli — never install the CLI globally.
Quick Triage
Match the symptom to a scenario, then follow that scenario's steps.
Symptom Scenario
SDK returns { data: null, error: {...} }
#1 SDK Error
HTTP 400 / 401 / 403 / 404 / 429 / 500 #2 HTTP Status Code
Function throws or times out #3 Edge Function Failure
Query slow or hangs #4 Database Slow
Login fails / token expired / RLS denied #5 Auth Failure
Channel won't connect / messages missing #6 Realtime Issues
High CPU/memory, all responses slow #7 Backend Performance
functions deploy fails
#8 Function Deploy
deployments deploy fails / Vercel error
#9 Frontend Deploy
Scenario 1: SDK Returns Error Object
Symptoms: SDK call returns { data: null, error: { code, message, details } }. PostgREST error codes like PGRST301, PGRST204, etc.
Steps:
-
Read the error object — extract
code,message,detailsfrom the SDK response. -
Check aggregated error logs to find matching backend errors:
npx @insforge/cli diagnose logs
- Based on the error code prefix, drill into the relevant log source:
Error pattern Log source Command
PGRST* (PostgREST)
postgREST.logs
npx @insforge/cli logs postgREST.logs --limit 50
Database/SQL errors
postgres.logs
npx @insforge/cli logs postgres.logs --limit 50
Generic 500 / server error
insforge.logs
npx @insforge/cli logs insforge.logs --limit 50
- If the error is DB-related, check database health for additional context:
npx @insforge/cli diagnose db --check connections,locks,slow-queries
Information gathered: Error code, backend log entries around the error timestamp, database health status.
Scenario 2: HTTP Status Code Anomaly
Symptoms: API calls return 400, 401, 403, 404, 429, or 500.
Steps:
-
Identify the status code from the response.
-
Follow the path for that status code:
Status What to check Command
400
Request payload/params malformed
npx @insforge/cli logs postgREST.logs --limit 50
401
Auth token missing or expired
npx @insforge/cli logs insforge.logs --limit 50
403
RLS policy or permission denied
npx @insforge/cli logs insforge.logs --limit 50
404
Endpoint or resource doesn't exist
npx @insforge/cli metadata --json
429 Rate limit hit — no backend logs recorded See 429 note below
500
Server-side error
npx @insforge/cli diagnose logs
- For 500 errors, also check aggregate error logs across all sources:
npx @insforge/cli diagnose logs
- 429 Rate Limit: The backend does not log 429 responses and does not return
Retry-AfterorX-RateLimit-*headers. Checking logs will not help. Instead:
Review client code for high-frequency request patterns: loops without throttling, missing debounce, retry without exponential backoff, or parallel calls that could be batched.
- Check overall backend load to see if the system is under heavy traffic:
npx @insforge/cli diagnose metrics --range 1h
- A 429 status confirms the request was rate-limited. The fix is always on the client side: reduce request frequency, add backoff/debounce, or batch operations.
Information gathered: Status code context, relevant log entries, request/response details from logs. For 429: client-side request patterns and backend load metrics.
Scenario 3: Edge Function Execution Failure/Timeout
Symptoms: functions invoke returns error, function times out, or throws runtime exception.
Steps:
- Check function execution logs:
npx @insforge/cli logs function.logs --limit 50
- Verify the function exists and is active:
npx @insforge/cli functions list
- Inspect the function source for obvious issues:
npx @insforge/cli functions code <slug>
Information gathered: Function runtime errors, function status, source code, EC2 resource metrics.
Scenario 4: Database Query Slow or Unresponsive
Symptoms: Queries take too long, hang indefinitely, or connection pool is exhausted.
Steps:
- Check database health — slow queries, active connections, locks:
npx @insforge/cli diagnose db --check slow-queries,connections,locks
- Check postgres logs for query errors or warnings:
npx @insforge/cli logs postgres.logs --limit 50
- Check index usage and table bloat:
npx @insforge/cli diagnose db --check index-usage,bloat,cache-hit,size
- If the whole system feels slow, check EC2 instance metrics:
npx @insforge/cli diagnose metrics --range 1h
Information gathered: Slow query details, connection pool state, lock contention, index efficiency, table bloat, cache hit ratio, EC2 resource usage.
Scenario 5: Authentication/Authorization Failure
Symptoms: Login fails, signup errors, token expired, OAuth callback error, RLS policy denies access.
Steps:
- Check insforge.logs for auth-related errors (login failures, token issues, OAuth errors):
npx @insforge/cli logs insforge.logs --limit 50
- Check postgREST.logs for RLS policy violations:
npx @insforge/cli logs postgREST.logs --limit 50
- Verify the project's auth configuration:
npx @insforge/cli metadata --json
- If RLS suspected, inspect current policies:
npx @insforge/cli db policies
Information gathered: Auth error details, RLS violation logs, auth configuration state, active RLS policies.
Scenario 6: Realtime Channel Issues
Symptoms: WebSocket won't connect, channel subscription fails, messages not received or lost.
Steps:
- Check insforge.logs for realtime/WebSocket errors:
npx @insforge/cli logs insforge.logs --limit 50
- Verify the channel pattern exists and is enabled:
npx @insforge/cli db query "SELECT pattern, description, enabled FROM realtime.channels"
- If access is restricted, check RLS on realtime tables:
npx @insforge/cli db policies
- If the issue is widespread (all channels affected), check overall backend health:
npx @insforge/cli diagnose
Information gathered: WebSocket error logs, channel configuration, realtime RLS policies, overall backend health.
Scenario 7: Backend Performance Degradation
Symptoms: All responses slow, high latency, intermittent failures across the board.
Steps:
- Check EC2 instance metrics — CPU, memory, disk, network:
npx @insforge/cli diagnose metrics --range 1h
- Check database health (often the bottleneck):
npx @insforge/cli diagnose db
- Check aggregate error logs:
npx @insforge/cli diagnose logs
- Check advisor for known critical issues:
npx @insforge/cli diagnose advisor --severity critical
Information gathered: CPU/memory/disk/network metrics (current and trend), database health, error log summary, advisor warnings.
Scenario 8: Edge Function Deploy Failure
Symptoms: functions deploy <slug> command fails, function not appearing in the list after deploy.
Steps:
- Re-run the deploy command and capture the error output:
npx @insforge/cli functions deploy <slug>
- Check deployment-related errors:
npx @insforge/cli logs function-deploy.logs --limit 50
- Verify whether the function exists in the list:
npx @insforge/cli functions list
Information gathered: Deploy command error output, function deployment logs, function list status, backend error logs.
Scenario 9: Frontend (Vercel) Deploy Failure
Symptoms: deployments deploy command fails, deployment status shows error, Vercel build errors.
Steps:
- Check recent deployment attempts:
npx @insforge/cli deployments list
- Get the status and error details for the failed deployment:
npx @insforge/cli deployments status <id> --json
The --json output includes a metadata object with Vercel-specific context: target, fileCount, projectId, startedAt, envVarKeys, webhookEventType (e.g., deployment.succeeded or deployment.error), etc. This metadata captures the full deployment context and can be used for debugging or AI-assisted investigation.
- Verify the local build succeeds before investigating further:
npm run build
Information gathered: Deployment history, deployment metadata (Vercel context, status, webhook events), local build output, backend deployment API logs.
Command Quick Reference
Logs
npx @insforge/cli logs <source> [--limit <n>]
Source Description
insforge.logs
Main backend logs
postgREST.logs
PostgREST API layer logs
postgres.logs
PostgreSQL database logs
function.logs
Edge function execution logs
function-deploy.logs
Edge function deployment logs
Source names are case-insensitive.
Diagnostics
# Full health report (all checks)
npx @insforge/cli diagnose
# EC2 instance metrics (CPU, memory, disk, network)
npx @insforge/cli diagnose metrics [--range 1h|6h|24h|7d] [--metrics <list>]
# Advisor scan results
npx @insforge/cli diagnose advisor [--severity critical|warning|info] [--category security|performance|health] [--limit <n>]
# Database health checks
npx @insforge/cli diagnose db [--check <checks>]
# checks: connections, slow-queries, bloat, size, index-usage, locks, cache-hit (default: all)
# Aggregate error logs from all sources
npx @insforge/cli diagnose logs [--source <name>] [--limit <n>]
Supporting Commands
# Project metadata (auth config, tables, buckets, functions, etc.)
npx @insforge/cli metadata --json
# Edge functions
npx @insforge/cli functions list
npx @insforge/cli functions code <slug>
# Secrets
npx @insforge/cli secrets list [--all]
npx @insforge/cli secrets get <key>
npx @insforge/cli secrets add <key> <value> [--reserved] [--expires <ISO date>]
# Database
npx @insforge/cli db policies
npx @insforge/cli db query "<sql>"
# Deployments
npx @insforge/cli deployments list
npx @insforge/cli deployments status <id> --json
Weekly Installs583Repositoryinsforge/agent-skillsGitHub Stars12First Seen6 days agoSecurity AuditsGen Agent Trust HubPassSocketWarnSnykFailInstalled ongemini-cli583antigravity583cline583github-copilot583cursor583codex583
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