claude

SIEM Lab Coach

A turnkey, self-hosted Splunk lab with nine hands-on labs and a coach that grades your SPL on measured figures.

0 on GitHubby Iskandeurv0.1.0MITupdated 1 month agosecurity
/

Plugin siem-lab-coach from marketplace siem-lab-coach in Iskandeur/splunk-lab-in-a-box. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • coach

    Operate the Splunk lab, grade answers, and teach the curriculum

Slash commands (4)

  • /siem-lab-coach:lab-check

    Grade a learner's SPL answer against the lab's answer key

  • /siem-lab-coach:lab-next

    Start the next lab and coach through it

  • /siem-lab-coach:lab-start

    Bring the Splunk lab up, load the data if needed, and start coaching

  • /siem-lab-coach:lab-status

    Report the lab's health and the learner's progress

View source on GitHub

Similar plugins

ecc

claudecodex

Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses

200 skills · 98 commands · 71 agents · 1 MCP server · hooks

affaan-m/ECC 302,088

Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.

hooks

anthropics/claude-code 155,476

Cross-installation agent federation with zero-trust security, PII-gated data flow, and compliance-grade audit trails

3 skills · 1 command · 1 agent

ruvnet/ruflo 81,589

Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams

26 skills · 4 commands · 3 agents · 1 MCP server

anthropics/claude-plugins-official 47,076

llm-finetuning

claudecodex

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents

wshobson/agents 42,461

Maintain SIEM Lab Coach?

This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.

claude & codex pluginslisted