← Back to Skills Marketplace
pratiknarola

Coding Agent Runner

by Pratik Narola · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
27
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install coding-agent-runner
Description
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
README (SKILL.md)

Coding Agent (background-first)

Use bash background mode for non-interactive coding work. For interactive coding sessions, use the tmux skill (always, except very simple one-shot prompts).

The Pattern: workdir + background

# Create temp space for chats/scratch work
SCRATCH=$(mktemp -d)

# Start agent in target directory ("little box" - only sees relevant files)
bash workdir:$SCRATCH background:true command:"\x3Cagent command>"
# Or for project work:
bash workdir:~/project/folder background:true command:"\x3Cagent command>"
# 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"

# 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 😅).


Codex CLI

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

Building/Creating (use --full-auto or --yolo)

# --full-auto: sandboxed but auto-approves in workspace
bash workdir:~/project background:true command:"codex exec --full-auto \"Build a snake game with dark theme\""

# --yolo: NO sandbox, NO approvals (fastest, most dangerous)
bash workdir:~/project background:true command:"codex --yolo \"Build a snake game with dark theme\""

# Note: --yolo is a shortcut for --dangerously-bypass-approvals-and-sandbox

Reviewing PRs (vanilla, no flags)

⚠️ CRITICAL: Never review PRs in Clawdbot's own project folder!

  • Either use the project where the PR is submitted (if it's NOT ~/Projects/clawdbot)
  • Or clone to a temp folder first
# Option 1: Review in the actual project (if NOT clawdbot)
bash workdir:~/Projects/some-other-repo background:true command:"codex review --base main"

# Option 2: Clone to temp folder for safe review (REQUIRED for clawdbot PRs!)
REVIEW_DIR=$(mktemp -d)
git clone https://github.com/clawdbot/clawdbot.git $REVIEW_DIR
cd $REVIEW_DIR && gh pr checkout 130
bash workdir:$REVIEW_DIR background:true command:"codex review --base origin/main"
# Clean up after: rm -rf $REVIEW_DIR

# Option 3: Use git worktree (keeps main intact)
git worktree add /tmp/pr-130-review pr-130-branch
bash workdir:/tmp/pr-130-review background:true command:"codex review --base main"

Why? Checking out branches in the running Clawdbot repo can break the live instance!

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!
bash workdir:~/project background:true command:"codex exec \"Review PR #86. git diff origin/main...origin/pr/86\""
bash workdir:~/project background:true command:"codex exec \"Review PR #87. git diff origin/main...origin/pr/87\""
bash workdir:~/project background:true command:"codex exec \"Review PR #95. git diff origin/main...origin/pr/95\""
# ... repeat for all PRs

# Monitor all
process action:list

# Get results and post to GitHub
process action:log sessionId:XXX
gh pr comment \x3CPR#> --body "\x3Creview content>"

Tips for PR Reviews

  • Fetch refs first: git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*'
  • Use git diff: Tell Codex to use git diff origin/main...origin/pr/XX
  • Don't checkout: Multiple parallel reviews = don't let them change branches
  • Post results: Use gh pr comment to post reviews to GitHub

Claude Code

bash workdir:~/project background:true command:"claude \"Your task\""

OpenCode

bash workdir:~/project background:true command:"opencode run \"Your task\""

Pi Coding Agent

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

Pi flags (common)

  • --print / -p: non-interactive; runs prompt and exits.
  • --provider \x3Cname>: pick provider (default: google).
  • --model \x3Cid>: pick model (default: gemini-2.5-flash).
  • --api-key \x3Ckey>: override API key (defaults to env vars).

Examples:

# Set provider + model, non-interactive
bash workdir:~/project background:true command:"pi --provider openai --model gpt-4o-mini -p \"Summarize src/\""

tmux (interactive sessions)

Use the tmux skill for interactive coding sessions (always, except very simple one-shot prompts). Prefer bash background mode for non-interactive runs.


Parallel Issue Fixing with git worktrees + tmux

For fixing multiple issues in parallel, use git worktrees (isolated branches) + tmux sessions:

# 1. Clone repo to temp location
cd /tmp && git clone [email protected]:user/repo.git repo-worktrees
cd repo-worktrees

# 2. Create worktrees for each issue (isolated branches!)
git worktree add -b fix/issue-78 /tmp/issue-78 main
git worktree add -b fix/issue-99 /tmp/issue-99 main

# 3. Set up tmux sessions
SOCKET="${TMPDIR:-/tmp}/codex-fixes.sock"
tmux -S "$SOCKET" new-session -d -s fix-78
tmux -S "$SOCKET" new-session -d -s fix-99

# 4. Launch Codex in each (after pnpm install!)
tmux -S "$SOCKET" send-keys -t fix-78 "cd /tmp/issue-78 && pnpm install && codex --yolo 'Fix issue #78: \x3Cdescription>. Commit and push.'" Enter
tmux -S "$SOCKET" send-keys -t fix-99 "cd /tmp/issue-99 && pnpm install && codex --yolo 'Fix issue #99: \x3Cdescription>. Commit and push.'" Enter

# 5. Monitor progress
tmux -S "$SOCKET" capture-pane -p -t fix-78 -S -30
tmux -S "$SOCKET" capture-pane -p -t fix-99 -S -30

# 6. Check if done (prompt returned)
tmux -S "$SOCKET" capture-pane -p -t fix-78 -S -3 | grep -q "❯" && echo "Done!"

# 7. 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 "..."

# 8. Cleanup
tmux -S "$SOCKET" kill-server
git worktree remove /tmp/issue-78
git worktree remove /tmp/issue-99

Why worktrees? Each Codex works in isolated branch, no conflicts. Can run 5+ parallel fixes!

Why tmux over bash background? Codex is interactive — needs TTY for proper output. tmux provides persistent sessions with full history capture.


⚠️ Rules

  1. Respect tool choice — if user asks for Codex, use Codex. NEVER offer to build it yourself!
  2. Be patient — don't kill sessions because they're "slow"
  3. Monitor with process:log — check progress without interfering
  4. --full-auto for building — auto-approves changes
  5. vanilla for reviewing — no special flags needed
  6. Parallel is OK — run many Codex processes at once for batch work
  7. NEVER start Codex in ~/clawd/ — it'll read your soul docs and get weird ideas about the org chart! Use the target project dir or /tmp for blank slate chats
  8. NEVER checkout branches in ~/Projects/clawdbot/ — that's the LIVE Clawdbot instance! Clone to /tmp or use git worktree for PR reviews

PR Template (The Razor Standard)

When submitting PRs to external repos, use this format for quality & maintainer-friendliness:

## Original Prompt
[Exact request/problem statement]

## What this does
[High-level description]

**Features:**
- [Key feature 1]
- [Key feature 2]

**Example usage:**
```bash
# Example
command example
```

## Feature intent (maintainer-friendly)
[Why useful, how it fits, workflows it enables]

## Prompt history (timestamped)
- YYYY-MM-DD HH:MM UTC: [Step 1]
- YYYY-MM-DD HH:MM UTC: [Step 2]

## How I tested
**Manual verification:**
1. [Test step] - Output: `[result]`
2. [Test step] - Result: [result]

**Files tested:**
- [Detail]
- [Edge cases]

## Session logs (implementation)
- [What was researched]
- [What was discovered]
- [Time spent]

## Implementation details
**New files:**
- `path/file.ts` - [description]

**Modified files:**
- `path/file.ts` - [change]

**Technical notes:**
- [Detail 1]
- [Detail 2]

---
*Submitted by Razor 🥷 - Mariano's AI agent*

Key principles:

  1. Human-written description (no AI slop)
  2. Feature intent for maintainers
  3. Timestamped prompt history
  4. Session logs if using Codex/agent

Example: https://github.com/steipete/bird/pull/22

Usage Guidance
Install only if you intentionally want a skill that can direct agents to run long-lived coding sessions and modify repositories. Prefer sandboxed modes, review generated diffs before any commit or push, avoid `--yolo` on untrusted repos, and use temporary clones or worktrees for PR review and issue-fix workflows.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The capability matches the stated purpose: it teaches agents to run Codex, Claude Code, OpenCode, or Pi in background or tmux sessions for coding work, PR reviews, and issue fixes.
Instruction Scope
The instructions include high-impact workflows using `codex --yolo`, which the artifact itself describes as no sandbox and no approvals, and later prompts agents to commit and push changes during parallel issue fixing.
Install Mechanism
The package contains a single markdown skill file, no executable scripts, no declared dependencies, and no install-time behavior beyond requiring one of the listed agent CLIs.
Credentials
Running background or tmux coding agents in project directories is coherent for this skill, but unsandboxed execution plus `pnpm install`, local repository mutation, GitHub comments, pushes, and PR creation is broader than a safe default workflow.
Persistence & Privilege
The skill intentionally launches persistent background/tmux sessions and includes remote repository side effects; it provides monitoring and cleanup steps, but does not require a human diff review before push or PR creation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install coding-agent-runner
  3. After installation, invoke the skill by name or use /coding-agent-runner
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Run Codex CLI, Claude Code, OpenCode, or Pi via background process control with parallel PR reviews
Metadata
Slug coding-agent-runner
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Coding Agent Runner?

Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control. It is an AI Agent Skill for Claude Code / OpenClaw, with 27 downloads so far.

How do I install Coding Agent Runner?

Run "/install coding-agent-runner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Coding Agent Runner free?

Yes, Coding Agent Runner is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Coding Agent Runner support?

Coding Agent Runner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Coding Agent Runner?

It is built and maintained by Pratik Narola (@pratiknarola); the current version is v1.0.0.

💬 Comments