cc-mini — not yet audited

Last updated: 2026-06-10 · Indexed by AgentSkillsHub · Auto-synced every 8h

About cc-mini

Ultra-light Harness scaffolding for AI agents, a mini version of claude code

Quick Facts

Stars	963
Forks	358
Language	Python
Category	Agent Tool
Quality Score	50.7285829893472/100
Open Issues	3
Last Updated	2026-06-10
Created	2026-03-31
Platforms	claude-code, python
Est. Tokens	~13k

Compatible Skills

These tools work well together with cc-mini for enhanced workflows:

claude-code-teams-mcp — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
amazon-sorftime-research-MCP-skill — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
claude-code-book — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
Code-Agent-plusplus — semantic(0.33)+complementary+similar_pop+shared_platform (52%)
agent-harness-generator — semantic(0.23)+complementary+similar_pop+shared_platform (48%)

cc-mini alternative? Top 6 similar tools

Looking for a cc-mini alternative? If you're comparing cc-mini with other agent tool 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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Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and
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Frequently Asked Questions

What is cc-mini?

cc-mini is Ultra-light Harness scaffolding for AI agents, a mini version of claude code. It is categorized as a Agent Tool with 963 GitHub stars.

What programming language is cc-mini written in?

cc-mini is primarily written in Python.

How do I install or use cc-mini?

You can find installation instructions and usage details in the cc-mini GitHub repository at github.com/e10nMa2k/cc-mini. The project has 963 stars and 358 forks, indicating an active community.

What are the best alternatives to cc-mini?

The top alternatives to cc-mini on Agent Skills Hub include excalidraw-diagram-skill, raptor, playwright-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:

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