easy-coding-agents: One of the early China-built lightweight Claude Code-inspired terminal coding agents, with autonomous

by yushui2022 · Agent Tool · ★ 56

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Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars56
Forks14
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score62/100
Last Updated2026-10-29
Created2026-02-02
Platformsclaude-code, python
Est. Tokens~17k

About easy-coding-agents

Easy-Coding-Agent An autonomous terminal coding agent with tools, modes, custom agents, task control, and evidence-gated long-task memory. Easy-Coding-Agent is a Python coding-agent runtime designed around a real autonomous development loop: understand the codebase, plan the current phase, execute tools, edit files, run commands, ask the user when needed, preserve task state, and continue until...

Compatible Skills

These tools work well together with easy-coding-agents for enhanced workflows:

  • sibyl — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • elves — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • taskdog — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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