odai: AI agent 通用任务治理框架:对齐目标与事实,规划和调度能力,守住授权与风险边界,治理任务执行到真实验收与交付

by orziz · Codex Skill · ★ 119

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

How to install odai

npx skills add https://github.com/orziz/odai --skill odai
npx odai-dsh-agent install

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 64/100

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.

agent-skillsagentic-workflowai-agentai-agentsai-governanceclaude-codecodexdshdsh-plugindsh-plugins

Quick Facts

Stars119
Forks18
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score64/100
Last Updated2026-10-22
Created2026-03-19
Platformsclaude-code, codex, node
Est. Tokens~19k

About odai

English · 中文 odai is a governance-powered general task-execution framework for AI agents. It embeds governance into execution: align the real objective, facts, assumptions, authorization, risks, and acceptance; then choose the shortest sufficient path, combine the right capabilities, act, verify, and keep moving until the task is genuinely deliverable.

Compatible Skills

These tools work well together with odai for enhanced workflows:

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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:

View on GitHub → Browse Codex Skill tools