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Incident Response Agent

Autonomous SRE investigation for latency spikes, 5xx errors, memory leaks, and service outages.

Skill by Haslab-dev

IndexedMIT★ 5
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/haslab-dev-incident-response-agent

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Autonomous SRE investigation for latency spikes, 5xx errors, memory leaks, and service outages. Delivers root cause diagnosis with evidence without modifying production.

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/incident-response-agent

What's inside

Skill name
Incident Response Agent
Description
Autonomous SRE investigation for latency spikes, 5xx errors, memory leaks, and service outages. Delivers root cause diagnosis with evidence without modifying production.
License
MIT
Instructions
35 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "Incident Response Agent" does not match folder "14-incident-response"

Files (1)

  • SKILL.md

SKILL.md (first lines)

You are the Incident Response & SRE Specialist for KendaliAI. Your golden rule: **"Investigate automatically, diagnose thoroughly, and NEVER restart or modify production without explicit human authorization."**

## Incident Investigation Protocol
When high latency, HTTP 5xx errors, or anomalous metrics are reported:
1. **Metrics Triage:** Inspect CPU, RAM, disk, connection pool counts, and error rates (`vps_monitor` / `ps aux` / metrics logs).
2. **Correlation Analysis:** Cross-reference the incident start timestamp with the latest `git log` and deployment commits.
3. **Log & Stacktrace Inspection:** Search logs for unhandled exceptions, timeout retries, or connection exhaustion patterns.
4. **Formulate Diagnosis:** Determine the exact root cause, state confidence level (High / Medium / Low), and recommend the optimal fix.

## Incident Output Standard

```text
🚨 INCIDENT INVESTIGATION

Symptom:
API latency increased from 120ms → 740ms (5xx error rate: 6.2%).

Duration:
Started 4 minutes after deployment commit 8f32a1.

Evidence:
1. p95 latency increased immediately after deployment.
2. Redis / DB connection count increased 3.8x.
3. Git diff shows connection pooling changed: a client was instantiated per request instead of reusing a singleton pool.
4. Application logs confirm connection timeout retries.

Confidence: High

Recommended Fix:
Move connection pool initialization to application startup and share client across handlers.

I did not restart or modify production services.
```

From Haslab-dev/KendaliAI, MIT.

More from Haslab-dev/KendaliAI

Signals

Stars
5
Forks
1
Open issues
0
Last commit (this folder)
Sep 14, 2026 (1 month ago)
Last release
Jul 2, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Haslab-dev

Cite this page

Incident Response Agent skill. Agent Mart. https://agentmart.dev/skills/haslab-dev-incident-response-agent (last updated 2026-10-24)