grace-marketplace — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by osovv · Codex Skill · ★ 246

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

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About grace-marketplace

GRACE Framework - AI Agent Skills GRACE (Graph-RAG Anchored Code Engineering) is a methodology for AI-driven code generation with semantic markup, knowledge graphs, contracts, and log-driven verification. Originally created by Vladimir Ivanov (@turboplanner). This repository packages GRACE as reusable skills for coding agents. The current workflow is opinionated around: contract-first planning verification-first execution semantic markup for navigation and patching knowledge-graph synchronization controller-managed sequential or multi-agent implementation Current packaged version: What Changed In This Version is now a first-class GRACE artifact. now owns testing, traces, and log-driven evidence instead of being a light add-on. and now consume verification-plan excerpts in their execution packets. was removed from the public workflow. The supported implementation paths are now and . Repository Layout - Agent Skills format - Claude Code marketplace packaging - OpenPackage metadata Installation Via OpenPackage (recommended) Install the OpenPackage CLI first (), then: bash Install GRACE to your workspace opkg install gh

agent-skillsai-code-generationai-engineeringautonomous-agentsclaude-codecodex-clicontract-driven-developmentdeveloper-toolsgracegraph-rag

Quick Facts

Stars246
Forks55
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score70.9868949060839/100
Open Issues9
Last Updated2026-09-24
Created2026-02-17
Platformsclaude-code, cli, codex, node
Est. Tokens~15k

Compatible Skills

These tools work well together with grace-marketplace for enhanced workflows:

  • CodeWhisper — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (48%)
  • axon — semantic(0.22)+complementary+rare_topics+similar_pop+shared_platform (47%)
  • code-review-graph — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (47%)

grace-marketplace alternative? Top 6 similar tools

Looking for a grace-marketplace alternative? If you're comparing grace-marketplace with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • speckit-agent-skills by dceoy · ⭐ 140

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  • neuromesh by pinoox · ⭐ 92

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  • cli by shep-ai · ⭐ 74

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  • parallel-code by johannesjo · ⭐ 1.0k

    Run Claude Code, Codex, and Gemini side by side — each in its own git worktree

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Frequently Asked Questions

What is grace-marketplace?

grace-marketplace is GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.. It is categorized as a Codex Skill with 246 GitHub stars.

What programming language is grace-marketplace written in?

grace-marketplace is primarily written in TypeScript. It covers topics such as agent-skills, ai-code-generation, ai-engineering.

How do I install or use grace-marketplace?

You can find installation instructions and usage details in the grace-marketplace GitHub repository at github.com/osovv/grace-marketplace. The project has 246 stars and 55 forks, indicating an active community.

What license does grace-marketplace use?

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

What are the best alternatives to grace-marketplace?

The top alternatives to grace-marketplace on Agent Skills Hub include ai-maestro, agent-skills, speckit-agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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 Codex Skill tools