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coding-agent
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
成本自动化规则引擎 — 基于确定性规则自动检测成本异常和预算超标。触发词:预算告警、成本异常检测、费用监控规则
成本智能推断引擎 — 异常根因分析、价格估算、购买推荐与费用分摊。触发词:费用为什么涨了、该不该买SP、预留实例推荐、费用预测
成本数据基座 — 账单查询、趋势分析、价格查询与成本分摊。触发词:查账单、费用趋势、成本分摊、按标签看费用、月度账单
FinOps 定时调度工具。管理成本巡检定时任务,支持每日摘要、每周巡检、每月报告、异常告警、标签合规、资源生命周期等预定义模板。基于 CoPaw Cron 基础设施。触发词:定时巡检、成本巡检、定时任务、每日成本
阿里云资源优化工具。多产品成本优化分析(ECS/RDS/EBS/EIP/SLB/CDN),查询 CPU/内存/连接数水位,提供升降配建议。直接调用即可,无需创建脚本。触发词:资源优化、闲置检测、降配建议、ECS优化、RDS优化、利用率分析
阿里云资源运维管理工具。支持 ECS/RDS 等多产品的资源创建、删除、启动、停止、重启、释放等运维操作。支持与 optimizer 联动执行优化建议。所有操作都经过 OpsClaw 框架的权限控制和审计。触发词:启动实例、停止实例、重启实例、释放实例、创建 ECS、执行优化动作
| name | coding-agent |
| description | Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control. |
Use bash (with optional background mode) for all coding agent work. Simple and effective.
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'"
| 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) |
| 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 |
For quick prompts/chats, create a temp git repo and run:
# Quick chat (Codex needs a git repo!)
SCRATCH=$(mktemp -d) && cd $SCRATCH && git init && codex exec "Your prompt here"
# Or in a real project - with PTY!
bash pty:true workdir:~/Projects/myproject command:"codex exec 'Add error handling to the API calls'"
Why git init? Codex refuses to run outside a trusted git directory. Creating a temp repo solves this for scratch work.
For longer tasks, use background mode with PTY:
# Start agent in target directory (with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec --full-auto 'Build a snake game'"
# Returns sessionId for tracking
# Monitor progress
process action:log sessionId:XXX
# Check if done
process action:poll sessionId:XXX
# Send input (if agent asks a question)
process action:write sessionId:XXX data:"y"
# Submit with Enter (like typing "yes" and pressing Enter)
process action:submit sessionId:XXX data:"yes"
# Kill if needed
process action:kill sessionId:XXX
Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md 😅).
Model: gpt-5.3-codex is the default (set in ~/.codex/config.toml)
| Flag | Effect |
|---|---|
exec "prompt" | One-shot execution, exits when done |
--full-auto | Sandboxed but auto-approves in workspace |
--yolo | NO sandbox, NO approvals (fastest, most dangerous) |
# Quick one-shot (auto-approves) - remember PTY!
bash pty:true workdir:~/project command:"codex exec --full-auto 'Build a dark mode toggle'"
# Background for longer work
bash pty:true workdir:~/project background:true command:"codex --yolo 'Refactor the auth module'"
⚠️ CRITICAL: Never review PRs in 智能体's own project folder! Clone to temp folder or use git worktree.
# Clone to temp for safe review
REVIEW_DIR=$(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"
# 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>"
# With PTY for proper terminal output
bash pty:true workdir:~/project command:"claude 'Your task'"
# Background
bash pty:true workdir:~/project background:true command:"claude 'Your task'"
bash pty:true workdir:~/project command:"opencode run 'Your task'"
# 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)!
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
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, append a wake trigger to your prompt so 智能体 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:
智能体 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: 智能体 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.
pty:true, output breaks or agent hangs.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.