by wquguru
📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev
# Add to your Claude Code skills
git clone https://github.com/wquguru/harness-booksGuides for using ai agents skills like harness-books.
Last scanned: 6/5/2026
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}harness-books is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by wquguru. 📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev. It has 2,681 GitHub stars.
Yes. harness-books passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/wquguru/harness-books" and add it to your Claude Code skills directory (see the Installation section above).
harness-books is primarily written in Python. It is open-source under wquguru on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh harness-books against similar tools.
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Two books on harness engineering. They pursue the same engineering question: once a code-writing model is placed inside terminals, repositories, permission systems, and team workflows, what keeps the overall system bounded, continuous, and accountable for consequences?
These books are not meant to walk line by line through the source code. They focus on how a harness organizes constraints and execution, and how an inherently unstable model can be folded into a sustainable engineering order. Prompt layering, query loops, permission decisions, context governance, failure recovery, multi-agent verification, local rules, and team institutions together form the organ system of a harness. The real danger is not that a model occasionally says something wrong, but that the system has no structure for handling consequences.
The first book uses Claude Code as the observation target and concentrates on runtime structure. Its concern is why a system eventually has to grow components such as a control plane, query loop, tool permissions, context governance, recovery paths, multi-agent verification, and team rules.
Start with Book 1 if these are the questions you care about:
The second book places Claude Code and Codex side by side and asks where each harness places order. One path starts from runtime discipline; the other starts from a more structured control layer. Both systems can work, but they distribute authority differently.
Start with Book 2 if you care more about system choice, architectural judgment, or what to learn when building your own harness:
Build the two locale-aware Honkit sites and then assemble the unified Pages site:
python3 tools/book-kit/build_honkit.py book1-claude-code
python3 tools/book-kit/build_honkit.py book1-claude-code --locale en
python3 tools/book-kit/build_honkit.py book2-comparing
python3 tools/book-kit/build_honkit.py book2-comparing --locale en
python3 tools/book-kit/build_pages_site.py
Final output is written to dist/.
Keywords: Harness Engineering, Claude Code guide, Claude Code vs Codex, AI coding agent, control plane, query loop, agent recovery, agent verification, local governance, approval policy