ai-collab-playbook: Practical AI collaboration playbook for research, writing, reading, and coding

by cnfjlhj · Codex Skill · ★ 456

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

Security audit verdict: SAFE · quality 58/100

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.

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.

aiai-collaborationai-workflowclaude-codecodexcoding-agentcoding-workflowplaybookproductivityprompts

Quick Facts

Stars456
Forks43
LanguagePython
CategoryCodex Skill
Quality Score58/100
Open Issues1
Last Updated2026-10-13
Created2026-03-06
Platformsclaude-code, codex, python
Est. Tokens~14k

About ai-collab-playbook

读主文章 · Skills 目录 · Prompts · English 这是一份我在读博士期间持续更新的 AI 协作手册。它不是“装哪些工具”的清单,也不是“怎么写 Prompt”的速成教程。它更想回答的是:当 AI 已经能进入学习、科研、写作、编程和日常生活以后,人应该怎样继续主导问题、判断质量、沉淀经验,并避免把理解能力外包出去。 我的核心立场很简单:把 AI 当同事,不当工具;但人仍然是主变量。 AI 可以帮你探索、生成、执行,但问题表述、验收标准、必要取舍和最终判断不能交出去。否则效率越高,越可能只是更快地制造一种“我好像在推进”的幻觉。 先读什么 想看完整文章:从 开始。 想快速抓主线:先看下面三张图,再回到文章对应章节。 想复用工作流:看 和 。 想看我怎么约束 Agent:看 / 。 这份手册在讲什么 仓库内容 [](

Compatible Skills

These tools work well together with ai-collab-playbook for enhanced workflows:

  • claude-research — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • bria-skill — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • Carmack-Council — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • writing-agent — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (54%)

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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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