mcp-onec-test-runner: MCP‑сервер для сборки и запуска тестов YaXUnit в проектах 1С:Предприятие из AI‑ассистентов

Last updated: 2026-03-22 · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 59/100

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. Full audit →

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

Stars	113
Forks	22
Language	Kotlin
Category	MCP Server
License	GPL-3.0
Quality Score	59/100
Open Issues	21
Last Updated	2026-03-22
Created	2025-07-30
Platforms	claude-code, mcp
Est. Tokens	~96k

About mcp-onec-test-runner

METR - MCP 1C:Enterprise Test Runner ![1C:Enterprise](https://img.shields.io/badge/1C%3A

Compatible Skills

These tools work well together with mcp-onec-test-runner for enhanced workflows:

polyakov-claude-skills — semantic(0.37)+complementary+similar_pop+shared_platform (48%)
cc-1c-skills — semantic(0.30)+complementary+similar_pop+shared_platform (45%)

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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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