💡 Summary
A wrapper for AI agent CLIs that executes commands and summarizes changes in JSON format.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); filesystem read/write scope and path traversal; dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.
agent-exec
agent-exec is a thin, agent-friendly wrapper around the Codex, Claude Code, and
Cursor CLIs. It runs the specified agent, forwards the prompt, and emits a JSON
summary of changes (including file contents) for downstream agents.
Requirements
- Node.js 18+
- One or more agent CLIs installed on your PATH (
codex,claude,agent)
Install / Run
npx agent-exec "Add a healthcheck endpoint to the API" --agent codex
Pass extra args to the underlying CLI, including a model ID:
npx agent-exec "Refactor the auth flow" --agent claude --model claude-3.5-sonnet -- --max-tokens 2048
Skills
Install skills using the open agent skills ecosystem (via npx skills add):
npx skills add vercel-labs/agent-skills
You can also proxy the same command through agent-exec:
npx agent-exec skills add vercel-labs/agent-skills
How it works
- Requires an explicit agent selection (
--agentorAGENT_EXEC_AGENT). - Runs it in the chosen working directory.
- Emits a JSON summary of
git statuschanges, including file contents. - When output is JSON (or stdin is used), it defaults to headless agent flags:
- Codex:
exec - Claude:
-p - Cursor:
--print
- Codex:
Options
agent-exec <prompt> [options] -- [agent args...] agent-exec skills <args...> -a, --agent <name> codex | claude | cursor (required) -d, --dir <path> working directory (default: cwd) -m, --model <id> model ID to pass to the agent CLI -f, --format <type> output format: json or text (default: json) --input <mode> auto | arg | stdin | none (default: auto) --max-bytes <n> max bytes per file in JSON output (default: 1000000) --content include file contents in JSON (default: true) --no-content omit file contents in JSON --list list detected agents and exit -h, --help show help
Flags must come before the prompt. Use -- to pass flags directly to the agent CLI.
Output
By default the CLI emits a JSON summary suitable for Codex/Claude/Cursor agents:
{ "ok": true, "agent": "codex", "command": "codex", "args": [], "cwd": "/path/to/repo", "exitCode": 0, "changes": [ { "path": "src/index.ts", "status": "M", "content": "..." } ] }
Use --format text for human-friendly output.
Binary files are detected and reported with "binary": true without content.
Configuration
Environment variables for agent overrides:
AGENT_EXEC_AGENT=claude AGENT_EXEC_FORMAT=json AGENT_EXEC_INPUT=auto AGENT_EXEC_MAX_BYTES=1000000 AGENT_EXEC_NO_CONTENT=1 AGENT_EXEC_MODEL_FLAG=--model AGENT_EXEC_MODEL_FLAG_CODEX=--model AGENT_EXEC_MODEL_FLAG_CLAUDE=--model AGENT_EXEC_MODEL_FLAG_CURSOR=--model AGENT_EXEC_CODEX_CMD=codex AGENT_EXEC_CLAUDE_CMD=claude AGENT_EXEC_CURSOR_CMD=agent AGENT_EXEC_CODEX_ARGS="--foo {prompt}" AGENT_EXEC_CLAUDE_ARGS="--bar {prompt}" AGENT_EXEC_CURSOR_ARGS="--baz {prompt}"
Use {prompt} in args to substitute the prompt.
Legacy AGENT_RUN_* variables are also supported.
Cursor's CLI installs an agent binary by default. Set AGENT_EXEC_CURSOR_CMD=cursor
if your install uses a different command name.
Headless defaults apply for JSON/stdin output. Override per-agent defaults:
AGENT_EXEC_CODEX_ARGS="exec" AGENT_EXEC_CLAUDE_ARGS="-p {prompt}" AGENT_EXEC_CURSOR_ARGS="--print"
Set any AGENT_EXEC_*_ARGS to an empty string to disable the defaults.
Contributing
npm install npm run build npm run lint
Pros
- Supports multiple AI agent CLIs
- Generates clear JSON summaries of changes
- Easy to install and use with npx
Cons
- Requires specific Node.js version
- Dependency on external agent CLIs
- Limited to JSON output by default
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author GeLi2001.
