ops-codegraph-tool — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 optave · MCP Server · ★ 98

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

🔒 Is ops-codegraph-tool safe to install? View the security audit →

About ops-codegraph-tool

codegraph Give your AI the map before it starts exploring. = 22.6" / The Problem · What It Does · Quick Start · Commands · Languages · AI Integration &middot

ai-agentsarchitectureci-cdclicode-analysiscode-qualitycode-searchcodeownerscomplexity-metricsdependency-graph

Quick Facts

Stars98
Forks24
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score63.2798109194564/100
Open Issues89
Last Updated2026-10-10
Created2026-02-21
Platformscli, mcp, node
Est. Tokens~26k

Compatible Skills

These tools work well together with ops-codegraph-tool for enhanced workflows:

  • architect — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • Nexus-skills — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (57%)
  • dora — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • agentuse — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • hodor — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

ops-codegraph-tool alternative? Top 6 similar tools

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

  • semble_rs by johunsang · ⭐ 210

    Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & imp

  • fossil-mcp by yfedoseev · ⭐ 68

    The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages.

  • codespaces by diskd-ai · ⭐ 52

    Architecture-aware code search, dependency graphs, and impact analysis for Python, TypeScript, Rust, C#, Java,

  • enola by enola-labs · ⭐ 266

    Architecture intelligence for AI coding agents - deterministic, cross-repository code analysis through MCP.

  • Sephera by Reim-developer · ⭐ 77

    Answer "what breaks if I change this?" Reverse dependency analysis, cycle detection, and token-budgeted contex

  • stacklit by glincker · ⭐ 101

    One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto

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Frequently Asked Questions

What is ops-codegraph-tool?

ops-codegraph-tool is Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact . It is categorized as a MCP Server with 98 GitHub stars.

What programming language is ops-codegraph-tool written in?

ops-codegraph-tool is primarily written in TypeScript. It covers topics such as ai-agents, architecture, ci-cd.

How do I install or use ops-codegraph-tool?

You can find installation instructions and usage details in the ops-codegraph-tool GitHub repository at github.com/optave/ops-codegraph-tool. The project has 98 stars and 24 forks, indicating an active community.

What license does ops-codegraph-tool use?

ops-codegraph-tool is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to ops-codegraph-tool?

The top alternatives to ops-codegraph-tool on Agent Skills Hub include semble_rs, fossil-mcp, codespaces. 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:

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