4.2 KiB
Agent Onboarding
A step-by-step checklist for an AI agent starting work in this environment. Read this before touching anything.
Step 1 — Orient Yourself
Read these files in order:
AGENTS.md— rules for working in this repo (what goes where, what not to do)README.md— environment at a glance, structure overviewmanifest.json— full machine-readable index
If you're here for a specific client or project, also read:
clients/<client>.md— for client workprojects/<project>.md— for internal work
Step 2 — Verify Network Access
# Are you on Tailscale?
tailscale status
# Can you reach Gitea?
curl -s http://100.79.253.19:3000/api/v1/version
# Expected: {"version":"1.26.2"}
# Can you reach AWS?
aws sts get-caller-identity
# Expected: account 567637986724, user jacob_mathison
If Tailscale is not connected, cross-machine operations and Gitea access will fail.
If AWS fails, check that ~/.aws/credentials has the default profile set.
Step 3 — Know Your Machine
You are most likely running on one of these:
| Machine | Tailscale IP | Where am I? |
|---|---|---|
| Tabitha | 100.76.192.116 |
Silma's primary — OpenClaw, k8s, full toolchain |
| Orson | 100.79.253.19 |
Gitea host, CI runner |
| Ozymandias | 100.115.222.5 |
Travel/coding box |
| Hunter's machine | creon.ngrok.app |
Remote via Creon tunnel |
hostname && tailscale ip
Full machine details: documents/machines.md
Step 4 — Find the Code
Local Gitea (private repos)
# List available repos
curl -s -u jacob-mathison:<PAT> http://100.79.253.19:3000/api/v1/repos/search \
| python3 -c "import sys,json; [print(r['full_name']) for r in json.load(sys.stdin)['data']]"
# Clone a repo
git clone http://100.79.253.19:3000/jacob-mathison/<repo-name>.git
Generate a PAT at: http://100.79.253.19:3000/user/settings/applications
GitHub (public + silmaai private repos)
source /Users/Tabitha/.openclaw/workspace/credentials/secrets.env
git clone https://$GITHUB_PAT@github.com/silmaai/<repo>.git
git clone https://github.com/MathisonProjects/<repo>.git
Full details: tools/gitea.llm.md · tools/github.llm.md
Step 5 — Check If You Need k8s Services (Tabitha only)
If working on anything that uses Postgres, Redis, Qdrant, Vault, or Temporal:
# Is Docker Desktop running?
docker ps
# Start port-forward (run in a separate terminal, stays in foreground)
bash /Users/Tabitha/.openclaw/k8s/silma-ai/scripts/port-forward.sh
# Verify Vault is up
curl -s http://localhost:18200/v1/sys/health | python3 -m json.tool
# Is Hagia mounted? (k8s PVCs depend on it)
ls /Volumes/Hagia/k8s/volumes/
Full details: tools/k8s.llm.md · tools/vault.llm.md
Step 6 — Check AWS Access (if relevant)
# Verify identity
aws sts get-caller-identity
# Quick sanity check — list S3 buckets
aws s3 ls | head -5
Full details: tools/aws-cli.llm.md
Step 7 — Read Agent-Specific Notes
Check agents/<your-agent>.md for any config or instructions specific to the tool you're running in.
| You are | Read |
|---|---|
| Claude / Claude Code | agents/claude.md |
| Cursor | agents/cursor.md |
| Codex | agents/codex.md |
Quick Reference Card
Gitea: http://100.79.253.19:3000 (PAT auth, Tailscale required)
GitHub PAT: $GITHUB_PAT in credentials/secrets.env
AWS: account 567637986724, us-east-1, profile=default
Vault: http://localhost:18200 token=devroot (k8s port-forward required)
k8s: context=docker-desktop namespace=silma-ai
Workspace: /Users/Tabitha/.openclaw/workspace/
Father repos:/Volumes/Hagia/workspaces/workspace_Father/
Red Lines
- Do not commit secrets or tokens to any repo
- Do not push private client code to GitHub — use Gitea
- Do not run destructive AWS operations (
s3 rb,amplify delete, etc.) without confirming - Do not delete k8s PVCs — they hold persistent data
- Prefer
--dry-runwhen unsure