name: coding-agent
description: Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
metadata: {"moltbot":{"emoji":"🧩","requires":{"anyBins":["claude","codex","opencode","pi"]}}}

Coding Agent (bash-first)

Use bash (with optional background mode) for all coding agent work. Simple and effective.

⚠️ PTY Mode Required!

Coding agents (Codex, Claude Code, Pi) are interactive terminal applications that need a pseudo-terminal (PTY) to work correctly. Without PTY, you'll get broken output, missing colors, or the agent may hang.

Always use pty:true when running coding agents:

# ✅ Correct - with PTY
bash pty:true command:"codex exec 'Your prompt'"

# ❌ Wrong - no PTY, agent may break
bash command:"codex exec 'Your prompt'"

Bash Tool Parameters

Process Tool Actions (for background sessions)

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 - with PTY!
bash pty:true 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 + pty

For longer tasks, use background mode with PTY:

# Start agent in target directory (with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec --full-auto 'Build a snake game'"
# Returns sessionId for tracking

# Monitor progress
process action:log sessionId:XXX

# Check if done
process action:poll sessionId:XXX

# Send input (if agent asks a question)
process action:write sessionId:XXX data:"y"

# Submit with Enter (like typing "yes" and pressing Enter)
process action:submit sessionId:XXX data:"yes"

# Kill if needed
process action:kill sessionId:XXX

Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md 😅).

Fallback Strategy

When primary agent hits limits, fall back in order:

Signs you need to fall back:
- "You've hit your usage limit"
- Rate limit / 429 errors
- Model overloaded messages

Codex CLI

Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)

Flags

Building/Creating

# Quick one-shot (auto-approves) - remember PTY!
bash pty:true workdir:~/project command:"codex exec --full-auto 'Build a dark mode toggle'"

# Background for longer work
bash pty:true workdir:~/project background:true command:"codex --yolo 'Refactor the auth module'"

Reviewing PRs

⚠️ CRITICAL: Never review PRs in Moltbot'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 $REVIEW_DIR && gh pr checkout 130
bash pty:true workdir:$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
bash pty:true 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 (all with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #86. git diff origin/main...origin/pr/86'"
bash pty:true workdir:~/project background:true 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

Fallback when Codex unavailable.

# Non-interactive
claude -p "Add error handling to src/api.ts"
claude -p --permission-mode acceptEdits "Fix the bug"

# Interactive (with PTY)
bash pty:true workdir:~/project command:"claude 'Your task'"

Detailed docs: See references/claude-code.md

Gemini CLI

Alternative fallback with different model family.

# Non-interactive (one-shot)
gemini "Add error handling to src/api.ts"
gemini -y "Build a REST API"  # yolo mode

# Interactive (with PTY)
bash pty:true workdir:~/project command:"gemini -i 'Your task'"

Detailed docs: See references/gemini-cli.md

OpenCode

bash pty:true workdir:~/project command:"opencode run 'Your task'"

Pi Coding Agent

# Install: npm install -g @mariozechner/pi-coding-agent
bash pty:true workdir:~/project command:"pi 'Your task'"

# Non-interactive mode (PTY still recommended)
bash pty:true command:"pi -p 'Summarize src/'"

# Different provider/model
bash pty:true 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 + PTY!)
bash pty:true workdir:/tmp/issue-78 background:true command:"pnpm install && codex --yolo 'Fix issue #78: <description>. Commit and push.'"
bash pty:true workdir:/tmp/issue-99 background:true command:"pnpm install && codex --yolo 'Fix issue #99: <description>. Commit and push.'"

# 3. Monitor progress
process action:list
process action:log sessionId: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

tmux Orchestration (Alternative)

For advanced multi-agent control, use the tmux skill instead of bash background mode.

When to Use tmux vs bash background

Quick Example

SOCKET="${TMPDIR:-/tmp}/coding-agents.sock"

# Create sessions for parallel work
tmux -S "$SOCKET" new-session -d -s agent-1 -c /tmp/worktree-1
tmux -S "$SOCKET" new-session -d -s agent-2 -c /tmp/worktree-2

# Launch agents
tmux -S "$SOCKET" send-keys -t agent-1 "codex --yolo 'Fix issue #1'" Enter
tmux -S "$SOCKET" send-keys -t agent-2 "claude 'Fix issue #2'" Enter

# Monitor (check for shell prompt to detect completion)
tmux -S "$SOCKET" capture-pane -p -t agent-1 -S -100

# Attach to watch live
tmux -S "$SOCKET" attach -t agent-1

Agent Forking

Transfer context between agents (e.g., plan with Codex, execute with Claude):

# Capture context from current agent
CONTEXT=$(tmux -S "$SOCKET" capture-pane -p -t planner -S -500)

# Fork to new agent with context
tmux -S "$SOCKET" new-session -d -s executor
tmux -S "$SOCKET" send-keys -t executor "claude -p 'Based on this plan: $CONTEXT

Execute step 1.'" Enter

Full docs: See the tmux skill for socket conventions, wait-for-text helpers, and cleanup.

⚠️ Rules

1. Always use pty:true - coding agents need a terminal!
2. Respect tool choice - if user asks for Codex, use Codex.
3. Orchestrator mode: do NOT hand-code patches yourself.
4. If an agent fails/hangs, respawn it or ask the user for direction, but don't silently take over.
5. Be patient - don't kill sessions because they're "slow"
6. Monitor with process:log - check progress without interfering
7. --full-auto for building - auto-approves changes
8. vanilla for reviewing - no special flags needed
9. Parallel is OK - run many Codex processes at once for batch work
10. NEVER start Codex in ~/clawd/ - it'll read your soul docs and get weird ideas about the org chart!
11. NEVER checkout branches in ~/Projects/moltbot/ - that's the LIVE Moltbot instance!

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, append a wake trigger to your prompt so Moltbot gets notified immediately when the agent finishes (instead of waiting for the next heartbeat):

... your task here.

When completely finished, run this command to notify me:
moltbot gateway wake --text "Done: [brief summary of what was built]" --mode now

Example:

bash pty:true workdir:~/project background:true command:"codex --yolo exec 'Build a REST API for todos.

When completely finished, run: moltbot gateway wake --text \"Done: Built todos REST API with CRUD endpoints\" --mode now'"

This triggers an immediate wake event — Skippy gets pinged in seconds, not 10 minutes.

Learnings (Jan 2026)

• PTY is essential: Coding agents are interactive terminal apps. Without pty:true, output breaks or agent hangs.
• Git repo required: Codex won't run outside a git directory. Use mktemp -d && git init for scratch work.
• exec is your friend: codex exec "prompt" runs and exits cleanly - perfect for one-shots.
• submit vs write: Use submit to send input + Enter, write for 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" 🦞