Lamprey-Harness — not yet audited

Last updated: 2026-09-07 · Indexed by AgentSkillsHub · Auto-synced every 8h

About Lamprey-Harness

Local-first, multi-provider coding desktop with Codex-style Steering, task controls, inline artifacts, PR review, tools, skills, MCP, and research.

Quick Facts

Stars	62
Forks	2
Language	TypeScript
Category	MCP Server
License	MIT
Quality Score	50.0705557489523/100
Open Issues	3
Last Updated	2026-09-07
Created	2026-05-30
Platforms	codex, mcp, node
Est. Tokens	~13k

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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Frequently Asked Questions

What is Lamprey-Harness?

Lamprey-Harness is Local-first, multi-provider coding desktop with Codex-style Steering, task controls, inline artifacts, PR review, tools, skills, MCP, and research.. It is categorized as a MCP Server with 62 GitHub stars.

What programming language is Lamprey-Harness written in?

Lamprey-Harness is primarily written in TypeScript.

How do I install or use Lamprey-Harness?

You can find installation instructions and usage details in the Lamprey-Harness GitHub repository at github.com/USS-Parks/Lamprey-Harness. The project has 62 stars and 2 forks, indicating an active community.

What license does Lamprey-Harness use?

Lamprey-Harness is released under the MIT license, making it free to use and modify according to the license terms.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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