hasamba🛠️ Tool
===================
Executive summary:
This repository is a community-maintained collection of DFIR skills designed as reusable, copy/paste artifacts for AI-assisted incident response. Each "skill" packages clear inputs/outputs, helper snippets, and safety-by-default guidance for evidence handling and privacy.
Technical details:
• Repository structure uses a predictable layout under skills/ with a template skill.md and per-skill helpers/ directories that contain query snippets, regex, and parsers.
• Skills include explicit placeholders (for example {{time_window}}) to avoid hallucination and to keep workflows deterministic when fed into LLMs like Claude and Codex.
• Artifacts emphasize evidence handling, privacy, and reproducible outputs rather than tool-specific automation.
How it works (conceptually):
• Each skill provides a skill prompt (instructions) and helper components that an LLM ingests; the assistant produces structured outputs given the specified inputs.
• Helpers standardize common parsing tasks (regex), data extraction, and small analysis steps so practitioners can maintain consistency across investigations.
Use cases:
• Rapidly generate triage summaries from logs and alerts using a prebuilt prompt.
• Standardize SOC handoffs by producing consistent timelines and evidence inventories.
• Create modular analysis steps (parsers, regex) for common artifact types.
Limitations and considerations:
• The repo focuses on skill artifacts and prompts; it does not include runnable tooling or automated playbooks that execute on endpoints.
• Effectiveness depends on the LLM used and on practitioners providing accurate inputs; placeholders must be filled deliberately to avoid incorrect conclusions.
• No operational guarantees are provided — the content is community-sourced under MIT license and may vary in maturity.
References and artifacts:
• Key files to review conceptually: skills/README.md, skills/_templates/skill.md, skills/<category>/<skill-id>/skill.md.
OSTechNix
Tedi Heriyanto
Typemill CMS
joshim
Dazeilad 🍉 🐢 🌻 ⏚
Martin Boller 
AzureTracks
Rob Whiting 📓