Co-Pilot
Updated 24 days ago

agent-exec

GGeLi2001
0.0k
geli2001/agent-exec
78
Agent Score

💡 Summary

A wrapper for AI agent CLIs that executes commands and summarizes changes in JSON format.

🎯 Target Audience

Software developers looking to integrate AI capabilitiesDevOps engineers managing AI-driven workflowsData scientists utilizing AI for code generationTechnical project managers overseeing AI projects

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

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 (--agent or AGENT_EXEC_AGENT).
  • Runs it in the chosen working directory.
  • Emits a JSON summary of git status changes, including file contents.
  • When output is JSON (or stdin is used), it defaults to headless agent flags:
    • Codex: exec
    • Claude: -p
    • Cursor: --print

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
5-Dim Analysis
Clarity8/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

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

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author GeLi2001.