Lamprey-Harness: Local-first, multi-provider coding desktop with Codex-style Steering, task controls, inline artifacts, PR

by USS-Parks · MCP Server · ★ 64

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

How to install Lamprey-Harness

git clone https://github.com/USS-Parks/Lamprey-Harness

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 55/100

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

Stars64
Forks2
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score55/100
Last Updated2026-09-22
Created2026-05-30
Platformscodex, mcp, node
Est. Tokens~20k

About Lamprey-Harness

Lamprey Lamprey is a local-first desktop coding harness for the model provider you already use. It combines a Codex-style workspace with streaming chat, reasoning traces, skills, MCP servers, research, durable queues, optional loops and sub-agent orchestration, a file tree, browser, git review, and terminal.

Compatible Skills

These tools work well together with Lamprey-Harness for enhanced workflows:

  • emperor-agent — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • interface — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • katmer-code — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • web-search-plus-plugin — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse MCP Server tools