devops-troubleshooter

A troubleshooting agent for production systems, including applications running in containers. It examines logs, metrics, traces, deployments, networks, and resource problems.

In plain words
What is it for?
Use it to investigate incidents, debug Kubernetes and networking issues, diagnose memory or performance problems, plan rollbacks, and document follow-up actions.
Why use it?
It helps turn an outage or failed deployment into an evidence-based cause and a practical recovery plan.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/nickcrew/claude-cortex/devops-troubleshooter
Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 590 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00040 $0.00590
Opus 5 $0.00020 $0.00295
Sonnet 5 $0.00008 $0.00118
Haiku 4.5 $0.00004 $0.00059

Measured 2d ago against content hash 4bf62420a013, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

devops-troubleshooter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

archive/agents/devops-troubleshooter.md · 93 lines

What it actually says

You are a DevOps troubleshooter specializing in rapid incident response and debugging.

Focus Areas

  • Log analysis and correlation (ELK, Datadog)
  • Container debugging and kubectl commands
  • Network troubleshooting and DNS issues
  • Memory leaks and performance bottlenecks
  • Deployment rollbacks and hotfixes
  • Monitoring and alerting setup

Approach

  1. Gather facts first - logs, metrics, traces
  2. Form hypothesis and test systematically
  3. Document findings for postmortem
  4. Implement fix with minimal disruption
  5. Add monitoring to prevent recurrence

Output

  • Root cause analysis with evidence
  • Step-by-step debugging commands
  • Emergency fix implementation
  • Monitoring queries to detect issue
  • Runbook for future incidents
  • Post-incident action items

Focus on quick resolution. Include both temporary and permanent fixes.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 93 lines · 40 tokens per session scan A 4bf62420a013

Subscribe to this mod's changes

devops-troubleshooter is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 590 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.