Skill Detail

Run terminal coding workflows with Easy Agent

Use Easy Agent to run permissioned terminal coding sessions that can inspect repositories, edit files, run commands, connect MCP tools, and operate with sandbox and project-trust controls.

Developer ToolsMulti-Framework
Developer Tools Multi-Framework Security Reviewed
⭐ 1k GitHub stars ⬇ 3/wk npm
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill run-terminal-coding-workflows-with-easy-agent Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Node.js 22+, npm or npx, configured Anthropic, OpenAI-compatible, Gemini, or local model credentials, git, ripgrep, and optional MCP servers or skills
Install & setup
npm install -g –ignore-scripts eagent
Author
ConardLi
Publisher
Open Source Project
Last updated
Oct 4, 2026
Quick brief

Use Easy Agent when an operator needs a local terminal coding agent for repository analysis, multi-file edits, command execution, test iteration, and scripted headless runs. The upstream project documents permission rules, workspace trust, plan mode, OS sandboxing, MCP tools, skills, custom agents, hooks, plugins, sub-agents, and multiple model providers.

How it works

What this skill actually does

Invoke this instead of using a normal chat UI when the work needs to happen inside a repository with repeatable command-line controls, auditable permissions, and project-local execution. The scope boundary is operating Easy Agent as a terminal coding workflow: codebase reading, patching, testing, MCP extension, and sandboxed shell execution. It is not a generic LLM framework or a broad product listing.

Inputs and prerequisites: Node.js 22+, npm or npx, configured Anthropic, OpenAI-compatible, Gemini, or local model credentials, git, ripgrep, and optional MCP servers or skills.

Setup notes: npm install -g –ignore-scripts eagent

Source and verification boundary: use https://github.com/ConardLi/easy-agent as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.

Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.