sub-agent
GitHub将自包含任务委托给子智能体(如Codex、Claude Code等)执行。适用于构建功能、代码审查、重构及文档生成等需完整工具权限的场景,通过后台进程或非交互CLI模式实现自动化处理。
Trigger Scenarios
Install
npx skills add opensquilla/opensquilla --skill sub-agent -g -y
SKILL.md
Frontmatter
{
"name": "sub-agent",
"metadata": {
"openclaw": {
"emoji": "🧩",
"install": [
{
"id": "node-claude",
"bins": [
"claude"
],
"kind": "node",
"label": "Install Claude Code CLI (npm)",
"package": "@anthropic-ai\/claude-code"
},
{
"id": "node-codex",
"bins": [
"codex"
],
"kind": "node",
"label": "Install Codex CLI (npm)",
"package": "@openai\/codex"
}
],
"requires": {
"anyBins": [
"claude",
"codex",
"opencode",
"pi"
]
}
},
"opensquilla": {
"requires_tools": [
"background_process",
"exec_command",
"process"
]
}
},
"provenance": {
"origin": "openclaw-derived",
"license": "MIT",
"upstream_url": "https:\/\/github.com\/openclaw\/openclaw",
"maintained_by": "OpenSquilla"
},
"description": "Delegate a self-contained task to a sub-Agent (Codex, Claude Code, or Pi via background process). The original use case was coding tasks — building features, reviewing PRs, refactoring — but the skill is the generic \"spawn a sub-Agent with full tool surface\" slot used by meta-skill DAG steps for any LLM-driven sub-task (policy review, trace parsing, report synthesis, document generation). Renamed from ``coding-agent`` to reflect actual usage; the wrapped CLIs (codex \/ claude \/ pi) still bias toward coding workloads. Use when: (1) building\/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative tasks that need file exploration, (5) meta-skill steps requiring full tool\/LLM agency. NOT for: simple one-liner fixes (just edit), reading code (use read tool), thread-bound ACP harness requests in chat (for example spawn\/run Codex or Claude Code in a Discord thread; use sessions_spawn with runtime:\"acp\"), or any work in ~\/clawd workspace (never spawn agents here). Prefer non-interactive CLI modes such as codex exec, claude --print, opencode run, or pi -p."
}
Sub-Agent (opensquilla process tools)
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.
Non-Interactive CLI Mode
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'")
OpenSquilla Tool Parameters
| 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. |
Process Tool Actions (for background sessions)
| 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 |
Quick Start: One-Shot Tasks
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.
The Pattern: workdir + background_process
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 😅).
Codex CLI
Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)
Flags
| 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) |
Building/Creating
# 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'")
Reviewing PRs
⚠️ 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")
Batch PR Reviews (parallel army!)
# 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>"
Claude Code
# 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'")
OpenCode
exec_command(workdir="~/project", command="opencode run 'Your task'")
Pi Coding Agent
# 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)!
Parallel Issue Fixing with git worktrees
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
⚠️ Rules
- Use the right execution mode per agent:
- Codex/Pi/OpenCode: non-interactive command mode (
codex exec,opencode run,pi -p) - Claude Code:
--print --permission-mode bypassPermissions(no PTY required)
- Codex/Pi/OpenCode: non-interactive command mode (
- Respect tool choice - if user asks for Codex, use Codex.
- Orchestrator mode: do NOT hand-code patches yourself.
- If an agent fails/hangs, respawn it or ask the user for direction, but don't silently take over.
- Be patient - don't kill sessions because they're "slow"
- Monitor with process:log - check progress without interfering
- --full-auto for building - auto-approves changes
- vanilla for reviewing - no special flags needed
- Parallel is OK - run many Codex processes at once for batch work
- NEVER start Codex inside your OpenSquilla state directory (
$OPENSQUILLA_STATE_DIR, default~/.opensquilla/state) - keep agent state separate from project worktrees. - NEVER checkout branches inside the live OpenSquilla runtime state/workspace directories - use an explicit project worktree.
Progress Updates (Critical)
When you spawn coding agents in the background, keep the user in the loop.
- Send 1 short message when you start (what's running + where).
- Then only update again when something changes:
- a milestone completes (build finished, tests passed)
- the agent asks a question / needs input
- you hit an error or need user action
- the agent finishes (include what changed + where)
- If you kill a session, immediately say you killed it and why.
This prevents the user from seeing only "Agent failed before reply" and having no idea what happened.
Auto-Notify on Completion
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.
Learnings (Jan 2026)
- Prefer non-interactive modes: Coding agents are easiest to supervise when they print progress and exit cleanly.
- Git repo required: Codex won't run outside a git directory. Use
mktemp -d && git initfor scratch work. - exec is your friend:
codex exec "prompt"runs and exits cleanly - perfect for one-shots. - submit vs write: Use
submitto send input + Enter,writefor raw data without newline. - Sass works: Codex responds well to playful prompts. Asked it to write a haiku about being second fiddle to a space lobster, got: "Second chair, I code / Space lobster sets the tempo / Keys glow, I follow" 🦞
Version History
- 7f72a32 Current 2026-07-05 18:40


