harnss: Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client

by OpenSource03 · MCP Server · ★ 389

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install harnss

git clone https://github.com/OpenSource03/harnss.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

agent-client-protocolagentclientprotocolaichatgptclaudeclaude-codecodexcopilotgemini

Quick Facts

Stars389
Forks43
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score70/100
Open Issues22
Last Updated2026-10-21
Created2026-02-19
Platformsbrowser, claude-code, cli, codex, gemini, mcp, node
Est. Tokens~16k

About harnss

[!WARNING] Harnss is in early development and issues are to be expected. Please feel free to report bugs and issues in the Issues section. Harness your AI coding agents. Harnss is a cross-platform desktop app that gives you one interface to run, manage, and switch between AI coding agents — Claude Code, Codex, and any ACP-compatible agent — without losi

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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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