Skip to content

QUICKSTART.md

Latest commit

 

History

History
79 lines (50 loc) · 2.26 KB

QUICKSTART.md

File metadata and controls

79 lines (50 loc) · 2.26 KB

Quickstart

This repo supports two fast starts.

Option 1: Harden an OpenClaw-style deployment in under 15 minutes

1. Install the tiny tool dependencies

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

2. Check what profile applies

python tools/grits_profile_selector_v2.py examples/sample-agent-record.yaml

Expected result: the system is classified as an Agent Profile candidate.

3. Run the OpenClaw checklist

python tools/grits_openclaw_checklist_v2.py examples/sample-openclaw-posture.yaml

Expected result: a short list of passes, warnings, and priority fixes.

4. Generate a scorecard

python tools/grits_scorecard_v2.py examples/sample-openclaw-posture.yaml

Expected result: a JSON scorecard with control results, severity, posture band, and top remediation actions.

5. Use the baseline and playbook

Option 2: Start the lifecycle governance track

1. Read the lifecycle model

2. Review the minimum agent record

3. Review the runtime signal model

4. Review score outputs

Fast path by persona

Persona First three files
self-hoster or OpenClaw user QUICKSTART -> OpenClaw baseline -> OpenClaw remediation playbook
agent builder QUICKSTART -> Agent Profile -> secure default patterns
governance or platform lead QUICKSTART -> Agent Lifecycle Model -> registry schema

What success looks like after the first pass

You should be able to answer:

  • what kind of system you have
  • what minimum metadata and ownership it needs
  • what baseline controls apply now
  • what your highest-priority gaps are
  • what events and evidence you should capture over time