openwolf — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 cytostack · Codex Skill · ★ 2.3k

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

🔒 Is openwolf safe to install? View the security audit →

About openwolf

OpenWolf A second brain for Claude Code. Project intelligence, token tracking, and invisible enforcement through 6 hook scripts. Zero workflow changes. Why OpenWolf Exists Claude Code is powerful but it works blind. It doesn't know what a file contains until it opens it. It can't tell a 50-token config from a 2,000-token module. It reads the same file multiple times in one session without noticing. It has no index of your project, no memory of your corrections, and no awareness of what it already tried. OpenWolf gives Claude a second brain: a file index so it knows what files contain before reading them, a learning memory that accumulates your preferences and past mistakes, and a token ledger that tracks everything. All through 6 invisible hook scripts that fire on every Claude action. Token Comparison Tested on a large active project. Same codebase, same prompts, different setups: OpenClaw + Claude ███████████

agent-memoryanthropicclaude-aiclaude-codeclicodexcontext-engineeringdeveloper-toolsmiddlewareobservability

Quick Facts

Stars2,324
Forks209
LanguageTypeScript
CategoryCodex Skill
LicenseAGPL-3.0
Quality Score69.7664463127525/100
Open Issues54
Last Updated2026-09-15
Created2026-03-15
Platformsclaude-code, cli, codex, node
Est. Tokens~16k

openwolf alternative? Top 6 similar tools

Looking for a openwolf alternative? If you're comparing openwolf 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.

  • pilot-shell by maxritter · ⭐ 2.1k

    Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software

  • agentsys by agent-sh · ⭐ 991

    AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCod

  • awesome-llm-skills by Prat011 · ⭐ 1.7k

    A curated list of awesome LLM and AI Agent Skills, resources and tools for customising AI Agent workflows - th

  • llmgateway by theopenco · ⭐ 1.7k

    Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.

  • OpenContext by 0xranx · ⭐ 1.2k

    A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenC

  • claude-squad by smtg-ai · ⭐ 8.3k

    Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular TypeScript Agent Tools

Frequently Asked Questions

What is openwolf?

openwolf is Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.. It is categorized as a Codex Skill with 2.3k GitHub stars.

What programming language is openwolf written in?

openwolf is primarily written in TypeScript. It covers topics such as agent-memory, anthropic, claude-ai.

How do I install or use openwolf?

You can find installation instructions and usage details in the openwolf GitHub repository at github.com/cytostack/openwolf. The project has 2.3k stars and 209 forks, indicating an active community.

What license does openwolf use?

openwolf is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to openwolf?

The top alternatives to openwolf on Agent Skills Hub include pilot-shell, agentsys, awesome-llm-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