openclaw-control-center — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 TianyiDataScience · Codex Skill · ★ 4.0k

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

🔒 Is openclaw-control-center safe to install? View the security audit →

About openclaw-control-center

Chinese reader? Start here: 打开中文 README OpenClaw Control Center Turn OpenClaw from a black box into a local control center you can see, trust, and control. Language: English | 中文 Why this exists One local place to see whether OpenClaw is healthy, busy, blocked, or drifting. Built for non-technical operators who need observability and certainty, not raw backend payloads. Safe first-run defaults: read-only by default local token auth by default mutation routes disabled by default What you get : health, current state, decisions waiting, and operator-facing summaries : usage, spend, subscription windows, and connector status : who is really working now versus only queued : a hall-first multi-agent work chat with live discussion, execution order, handoff, review, and evidence threads : current work, approvals, execution chains, and runtime evidence and : source-backed workbenches scoped to active OpenClaw agents What this release adds : a new hall-first collaboration page so you can post work in one shared timeline, see real agent roster names reply live, and watch discussion collapse into one execution owner before review. : hall discussion, assign, and handoff can now dispatch

Quick Facts

Stars3,993
Forks619
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score59.9489869413105/100
Open Issues38
Last Updated2026-04-13
Created2026-03-11
Platformsnode
Est. Tokens~19k

Compatible Skills

These tools work well together with openclaw-control-center for enhanced workflows:

  • claude-code-router — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • mcp-vnc — semantic(0.24)+complementary+same_lang+shared_platform (49%)
  • tabby-mcp-server — semantic(0.21)+complementary+same_lang+shared_platform (47%)
  • tab-out — semantic(0.20)+complementary+similar_pop+shared_platform (47%)

openclaw-control-center alternative? Top 6 similar tools

Looking for a openclaw-control-center alternative? If you're comparing openclaw-control-center 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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Frequently Asked Questions

What is openclaw-control-center?

openclaw-control-center is Turn OpenClaw from a black box into a local control center you can see, trust, and control.. It is categorized as a Codex Skill with 4.0k GitHub stars.

What programming language is openclaw-control-center written in?

openclaw-control-center is primarily written in TypeScript.

How do I install or use openclaw-control-center?

You can find installation instructions and usage details in the openclaw-control-center GitHub repository at github.com/TianyiDataScience/openclaw-control-center. The project has 4.0k stars and 619 forks, indicating an active community.

What license does openclaw-control-center use?

openclaw-control-center is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to openclaw-control-center?

The top alternatives to openclaw-control-center on Agent Skills Hub include superset, refly, Claude-to-IM-skill. 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