aigc-cli: Terminal-native AIGC toolkit: multi-provider image/video/audio generation, Midjourney, chat, AIGC forensics

by martianzhang · MCP Server · ★ 6

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

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars6
Forks1
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score66/100
Last Updated2026-10-11
Created2026-06-15
Platformscli, go, mcp
Est. Tokens~19k

About aigc-cli

Terminal-native AIGC toolkit: multi-provider image/video/audio generation, Midjourney, chat, AIGC forensics, knowledge base, MCP Server. 终端原生 AIGC 工具包:多厂商图片/视频/音频生成、Midjourney、AI 对话、AIGC 取证、知识库、MCP 集成。

Compatible Skills

These tools work well together with aigc-cli for enhanced workflows:

  • AIGC-Claw — semantic(0.59)+complementary+shared_fw(openai)+rare_topics (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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