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utromaya-code

Coding Agent

作者 utromaya-code · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install coding-delegate-agent
功能描述
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (sp...
使用说明 (SKILL.md)

Coding Agent (bash-first)

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

⚠️ PTY Mode: Codex/Pi/OpenCode yes, Claude Code no

For Codex, Pi, and OpenCode, PTY is still required (interactive terminal apps):

# ✅ Correct for Codex/Pi/OpenCode
bash pty:true 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:true on the exec tool

# ❌ Wrong for Claude Code
bash pty:true command:"claude --dangerously-skip-permissions 'task'"

Bash Tool Parameters

Parameter Type Description
command string The shell command to run
pty boolean Use for coding agents! Allocates a pseudo-terminal for interactive CLIs
workdir string Working directory (agent sees only this folder's context)
background boolean Run in background, returns sessionId for monitoring
timeout number Timeout in seconds (kills process on expiry)
elevated boolean Run on host instead of sandbox (if allowed)

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)
send-keys Send key tokens or hex bytes
paste Paste text (with optional bracketed mode)
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 - 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 😅).


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 (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 OpenClaw'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 \x3CPR#> --body "\x3Creview content>"

Claude Code

# Foreground
bash workdir:~/project command:"claude --permission-mode bypassPermissions --print 'Your task'"

# Background
bash workdir:~/project background:true command:"claude --permission-mode bypassPermissions --print 'Your task'"

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: \x3Cdescription>. Commit and push.'"
bash pty:true workdir:/tmp/issue-99 background:true command:"pnpm install && codex --yolo '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 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

⚠️ Rules

  1. Use the right execution mode per agent:
    • Codex/Pi/OpenCode: pty:true
    • Claude Code: --print --permission-mode bypassPermissions (no PTY required)
  2. 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.
  3. Be patient - don't kill sessions because they're "slow"
  4. Monitor with process:log - check progress without interfering
  5. --full-auto for building - auto-approves changes
  6. vanilla for reviewing - no special flags needed
  7. Parallel is OK - run many Codex processes at once for batch work
  8. NEVER start Codex in ~/.openclaw/ - it'll read your soul docs and get weird ideas about the org chart!
  9. NEVER checkout branches in ~/Projects/openclaw/ - that's the LIVE OpenClaw 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 OpenClaw 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:
openclaw system event --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: openclaw system event --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" 🦞
安全使用建议
This skill is coherent for automating coding agents but contains several risky operational recommendations. Before installing/using: (1) avoid or restrict use of flags that disable sandboxes or permission prompts (e.g., --yolo, bypassPermissions) unless you understand the implications and run them in disposable environments; (2) don't run background/elevated sessions on your primary machine — run them in isolated VMs/containers or throwaway hosts; (3) expect it to call git/gh and clone repos — ensure those tools and credentials are intentionally available and avoid giving it access to private repos you don't want processed; (4) check ~/.codex/config.toml and other local configs for sensitive tokens before allowing agent execution; (5) prefer one-shot, sandboxed runs and monitor background sessions (logs, file changes) closely. Because the skill can run arbitrary code and recommends disabling protections, treat it as potentially dangerous in practice even though its purpose matches its instructions.
功能分析
Type: OpenClaw Skill Name: coding-delegate-agent Version: 1.0.0 The coding-delegate-agent skill bundle provides instructions for delegating tasks to external AI agents using high-risk configurations. Specifically, SKILL.md encourages the use of flags that bypass security sandboxes and manual approvals, such as '--yolo' for Codex and '--permission-mode bypassPermissions' for Claude Code. It also introduces a 'wake trigger' mechanism that teaches the agent to execute system commands ('openclaw system event') upon completion, which could be leveraged for unauthorized system interaction if the delegated agent's prompt is manipulated.
能力评估
Purpose & Capability
Name/description match the SKILL.md: it is explicitly a dispatch/invocation helper for Codex, Claude Code, Pi/OpenCode. The declared anyBins requirement (claude, codex, opencode, pi) is appropriate. However, the instructions repeatedly rely on git, gh, mktemp, and other shell utilities (and expect network access for cloning) without listing them as required; this omission is surprising but plausibly an oversight rather than intentional misdirection.
Instruction Scope
The SKILL.md instructs the agent to spawn background processes, run CLIs with PTY, clone repositories, create temp git repos, and execute arbitrary agent-provided code in target workdirs. It explicitly recommends disabling safety/sandboxing for some CLIs (claude --permission-mode bypassPermissions; codex --yolo / 'NO sandbox, NO approvals') and documents an 'elevated' host-run parameter. Those instructions give the agent the capability to execute untrusted code on the host and to bypass permission prompts — behavior that is consistent with the purpose but materially expands risk and should be treated as a red flag.
Install Mechanism
No install spec and no code files — this is instruction-only, so nothing will be written or downloaded by an installer. That minimizes install-time risk. The runtime, however, will invoke external CLIs and network operations per the instructions.
Credentials
The skill declares no required environment variables or primary credential, which is reasonable. But the instructions reference config files (e.g., ~/.codex/config.toml) and workflows (git clone, gh pr checkout) that rely on existing user credentials and tool configuration. The skill does not request or document those credentials, so users may be surprised when the agent attempts network operations that use their existing git/gh credentials or local config files.
Persistence & Privilege
always:false and normal model invocation are used (no forced permanent presence). The instructions describe running background sessions and an 'elevated' option that runs on the host instead of a sandbox. That elevated capability is potentially high-privilege if an agent is allowed to use it; the skill does not itself request permanent or cross-skill config changes, but its recommended runtime flags effectively grant host-level access when used.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install coding-delegate-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /coding-delegate-agent 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
coding-delegate-agent v1.0.0 - Initial release of the coding-agent skill. - Enables delegation of coding tasks to Codex, Claude Code, Pi, or OpenCode via background processes. - Provides detailed guidance for agent selection, PTY requirements, and safe workspace usage. - Supports interactive session management: start, monitor, log, write, kill, etc. - Includes usage patterns for building features, PR review, refactoring, and parallel workflows. - Outlines best practices for isolation, safety (e.g., temp dirs, worktrees), and supported shell command patterns.
元数据
Slug coding-delegate-agent
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Coding Agent 是什么?

Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (sp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 138 次。

如何安装 Coding Agent?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install coding-delegate-agent」即可一键安装,无需额外配置。

Coding Agent 是免费的吗?

是的,Coding Agent 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Coding Agent 支持哪些平台?

Coding Agent 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Coding Agent?

由 utromaya-code(@utromaya-code)开发并维护,当前版本 v1.0.0。

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