Generic "spawn a sub-Agent" entry point for delegating self-contained tasks to Codex / Claude Code / OpenCode / Pi via background process. Wrapping CLIs are coding-oriented, but the skill itself is used as the generic sub-Agent slot by meta-skill DAGs for any LLM-driven sub-task (file edits, document generation, policy review, etc.).
Use opensquilla's exec_command, background_process, and process tools for coding agent work. OpenSquilla does not expose a bash tool; do not use the legacy bash tool-call DSL.
OpenSquilla's process tools do not expose a pty parameter. Prefer non-interactive command modes that run and exit cleanly:
# ✅ Correct for Codex/Pi/OpenCode
exec_command(command="codex exec 'Your prompt'")
For Claude Code (claude CLI), use --print --permission-mode bypassPermissions instead.
--dangerously-skip-permissions with PTY can exit after the confirmation dialog.
--print mode keeps full tool access and avoids interactive confirmation:
# ✅ Correct for Claude Code (no PTY needed)
cd /path/to/project && claude --permission-mode bypassPermissions --print 'Your task'
# For background execution: use background_process
# ❌ Wrong for Claude Code
exec_command(command="claude --dangerously-skip-permissions 'task'")
| Tool | Key parameters | Description |
|---|---|---|
exec_command |
command, workdir, timeout |
Run a foreground shell command. |
background_process |
command, workdir, timeout |
Start a long-running command and return session_id. |
process |
action, session_id, data, offset, limit |
Poll, log, write to, or stop a background process. |
| Action | Description |
|---|---|
list |
List all running/recent sessions |
poll |
Check if session is still running |
log |
Get session output (with optional offset/limit) |
write |
Send raw data to stdin |
submit |
Send data + newline (like typing and pressing Enter) |
eof |
Close stdin |
remove |
Remove a finished session from the process list |
kill |
Terminate the session |
For quick prompts/chats, create a temp git repo and run:
# Quick chat (Codex needs a git repo!)
SCRATCH=$(mktemp -d) && cd $SCRATCH && git init && codex exec "Your prompt here"
# Or in a real project
exec_command(workdir="~/Projects/myproject", command="codex exec 'Add error handling to the API calls'")
Why git init? Codex refuses to run outside a trusted git directory. Creating a temp repo solves this for scratch work.
For longer tasks, use background_process:
# Start agent in target directory.
background_process(workdir="~/project", command="codex exec --full-auto 'Build a snake game'")
# Returns session_id for tracking
# Wait for it to finish — blocks until the process exits (or the timeout
# elapses, in which case just call wait again). Prefer this over polling in a
# loop: a looped process(action="poll") burns a full turn + tokens each time.
process(action="wait", session_id="XXX")
# Peek at output without blocking (optional, for progress)
process(action="log", session_id="XXX")
# Send input (if agent asks a question)
process(action="write", session_id="XXX", data="y")
# Submit with Enter (like typing "yes" and pressing Enter)
process(action="submit", session_id="XXX", data="yes")
# Kill if needed
process(action="kill", session_id="XXX")
Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md 😅).
Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)
| Flag | Effect |
|---|---|
exec "prompt" |
One-shot execution, exits when done |
--full-auto |
Sandboxed but auto-approves in workspace |
--yolo |
NO sandbox, NO approvals (fastest, most dangerous) |
# Quick one-shot
exec_command(workdir="~/project", command="codex exec --full-auto 'Build a dark mode toggle'")
# Background for longer work
background_process(workdir="~/project", command="codex exec --full-auto 'Refactor the auth module'")
⚠️ CRITICAL: Never review PRs in OpenSquilla's own project folder! Clone to temp folder or use git worktree.
# Clone to temp for safe review
REVIEW_DIR=$(mktemp -d)
git clone https://github.com/user/repo.git $REVIEW_DIR
cd $REVIEW_DIR && gh pr checkout 130
exec_command(workdir="$REVIEW_DIR", command="codex review --base origin/main")
# Clean up after: trash $REVIEW_DIR
# Or use git worktree (keeps main intact)
git worktree add /tmp/pr-130-review pr-130-branch
exec_command(workdir="/tmp/pr-130-review", command="codex review --base main")
# Fetch all PR refs first
git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*'
# Deploy the army - one Codex per PR
background_process(workdir="~/project", command="codex exec 'Review PR #86. git diff origin/main...origin/pr/86'")
background_process(workdir="~/project", command="codex exec 'Review PR #87. git diff origin/main...origin/pr/87'")
# Monitor all
process(action="list")
# Post results to GitHub
gh pr comment <PR#> --body "<review content>"
# Foreground
exec_command(workdir="~/project", command="claude --permission-mode bypassPermissions --print 'Your task'")
# Background
background_process(workdir="~/project", command="claude --permission-mode bypassPermissions --print 'Your task'")
exec_command(workdir="~/project", command="opencode run 'Your task'")
# Install: npm install -g @mariozechner/pi-coding-agent
exec_command(workdir="~/project", command="pi -p 'Your task'")
# Non-interactive mode
exec_command(command="pi -p 'Summarize src/'")
# Different provider/model
exec_command(command="pi --provider openai --model gpt-4o-mini -p 'Your task'")
Note: Pi now has Anthropic prompt caching enabled (PR #584, merged Jan 2026)!
For fixing multiple issues in parallel, use git worktrees:
# 1. Create worktrees for each issue
git worktree add -b fix/issue-78 /tmp/issue-78 main
git worktree add -b fix/issue-99 /tmp/issue-99 main
# 2. Launch Codex in each
background_process(workdir="/tmp/issue-78", command="pnpm install && codex exec --full-auto 'Fix issue #78: <description>. Commit and push.'")
background_process(workdir="/tmp/issue-99", command="pnpm install && codex exec --full-auto 'Fix issue #99 from the approved ticket summary. Implement only the in-scope edits and commit after review.'")
# 3. Monitor progress
process(action="list")
process(action="log", session_id="XXX")
# 4. Create PRs after fixes
cd /tmp/issue-78 && git push -u origin fix/issue-78
gh pr create --repo user/repo --head fix/issue-78 --title "fix: ..." --body "..."
# 5. Cleanup
git worktree remove /tmp/issue-78
git worktree remove /tmp/issue-99
codex exec, opencode run, pi -p)--print --permission-mode bypassPermissions (no PTY required)$OPENSQUILLA_STATE_DIR, default ~/.opensquilla/state) - keep agent state separate from project worktrees.When you spawn coding agents in the background, keep the user in the loop.
This prevents the user from seeing only "Agent failed before reply" and having no idea what happened.
For long-running background tasks, ask the agent to print a clear completion line so progress is visible in process(action="log", ...) output:
... your task here.
When completely finished, send a brief status update in this session.
Example:
background_process(workdir="~/project", command="codex exec --full-auto 'Build a REST API for todos.
When completely finished, print: Done: Built todos REST API with CRUD endpoints'")
This makes completion visible in the background process log.
mktemp -d && git init for scratch work.codex exec "prompt" runs and exits cleanly - perfect for one-shots.submit to send input + Enter, write for raw data without newline.