Incident Response Agent
Autonomous SRE investigation for latency spikes, 5xx errors, memory leaks, and service outages.
Skill by Haslab-dev
Install
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
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- 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.
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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
- Repository
- github.com/Haslab-dev/KendaliAI
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
Incident Response Agent skill. Agent Mart. https://agentmart.dev/skills/haslab-dev-incident-response-agent (last updated 2026-10-24)