Claude Code Complete User Handbook
- URL: http://arxiv.org/abs/2608.26742v1
- Date: Thu, 27 Aug 2026 07:32:14 GMT
- Title: Claude Code Complete User Handbook
- Abstract summary: Claude Code is a language model operating in a loop with unverified access, shell execution, browser control, scheduled and cloud execution.<n>This book is a task-oriented reference for operating that system safely and productively.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Claude Code is an agentic work environment: a language model operating in a loop with filesystem access, shell execution, browser control, scheduled and cloud execution, external tool connections through the Model Context Protocol, and multi-agent orchestration. Its capability envelope now exceeds what one practitioner can supervise by attention alone, and its failure modes are systemic rather than local: an unreviewed hook, an over-scoped connector, a stale completion condition, an autonomous routine inheriting every credential on an account. This book is a task-oriented reference for operating that system safely and productively, written for practitioners accountable for the result. It advances four propositions. First, capability without a defined and observable completion condition is not productivity. Second, instruction, permission enforcement, sandboxing and operating-system isolation are four distinct layers of a control stack, only two of which are enforced, and conflating them is the most common cause of loss of control. Third, third-party skills, plugins, marketplaces, channels and MCP servers are software supply-chain dependencies and must be governed as such. Fourth, the correct unit of trust in agentic work is observed evidence, not an agent's closing statement. Thirty-four chapters run from installation to a fully verified capstone, with a governance part on managed policy, data residency and retention, observability and accessibility. Every product claim carries a citation to a primary source; an evidence ledger records where a claim in circulation was found wrong, what a later re-verification changed, and what remains unverified. Controls are mapped to seventeen external frameworks in a crosswalk, and an organisational adoption maturity model is proposed. Claims not confirmable from primary sources are labelled UNVERIFIED rather than softened.
Related papers
- Dr. Claw: An AI Scientist Workspace for Vibe Research [64.18459471289147]
Dr. Claw is an open-source workspace that wraps existing coding-agent executors in a controllable human-in-the-loop workflow.<n> Persistent state objects, a reusable skill library, and multi-executor coordination link human decisions to AI execution.<n>Dr. Claw scores higher on research completeness while persisting an auditable, recoverable process trail.
arXiv Detail & Related papers (2026-08-31T20:58:47Z) - SIR: Self-improving Red-teaming for Compute Use Agents [71.71987044117371]
Computer use agents (CUAs) are vision-language models that perceive a screen and act on a real operating system through mouse, keyboard, and terminal.<n>Because they can be exposed to untrusted content while operating, they are vulnerable to indirect prompt injection (IPI)<n>We present SIR, a black box IPI attack that composes stealthy injections from a small library of reusable principles stated in plain language.
arXiv Detail & Related papers (2026-08-31T03:39:43Z) - Recognition Without Enforcement: Configuration-Dependent Failures in LLM Agent Instruction Arbitration and External Control [0.0]
LLM agents arbitrate among instructions from system prompts, users, memory, and tools, but this arbitration cannot be assumed to enforce trust boundaries.<n>We identify a recognition-enforcement gap: source-format features are linearly decodable from model activations, and models can explicitly identify forged authority when prompted.<n>We treat model self-arbitration as a capability rather than a security boundary and implement an external reference monitor combining authenticated source routing with capability-gated tool execution.
arXiv Detail & Related papers (2026-08-28T16:34:05Z) - Vero: Can AI Agents Build Formally Verified Software Repositories? [45.09790101960906]
Vero is the first benchmark to evaluate joint implementation and proof at the repository level.<n>It contains 43 multi-module instances from real-world repositories spanning Python, Dafny, Verus, and Coq.<n>To improve benchmark reliability, Vero also includes an audit mechanism where agents are allowed to formally prove unsatisfiability of provided specification.
arXiv Detail & Related papers (2026-08-13T17:41:27Z) - Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction [57.138342889101345]
Tencent WorkBuddy Bench is a multi-domain evaluation suite for coding agents.<n>This report documents its construction methodology, scoring protocol, and a cross-model leaderboard.
arXiv Detail & Related papers (2026-07-23T04:34:06Z) - PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution [49.776611937968]
We present PhyAgentOS, a foundation delivering scheduling, verification, memory, benchmarking, and safety as system-level services.<n>Its Session-Centered treats a session, not an action, as the minimum unit of scheduling, compatibility, supervised execution, evidence collection, and acceptance.<n>SessionVerifier distinguishes execution termination from semantic task completion via evidence-grounded verdicts of success, failure, or replan.<n> Benchmarking reuses the deployment session and verification path, so results trace to real execution.
arXiv Detail & Related papers (2026-07-18T04:46:53Z) - Fantastic Adaptive Taxonomies and How to Use Them [100.20614173157708]
AdaMAST converts execution traces into a compact, evidence-grounded failure taxonomy.<n>No code is hand-authored, no trace human-annotated.<n>In agent-system search, taxonomy-coded diagnoses of failed candidates outperform free-form.
arXiv Detail & Related papers (2026-07-17T17:41:16Z) - Can Code Specify a System Precisely Enough to Formally Verify It? [0.0]
This paper evaluates both on production software: the payment workflow of an operational restaurant point-of-sale system.<n>The core protocol is correct relative to a hand-built, line-cited model under a precisely stated failure model.<n>A single probe of the production payment sandbox exposed a response-shape divergence that makes an entire recovery ladder unreachable.
arXiv Detail & Related papers (2026-07-06T13:39:00Z) - A hardware-safety-gated system for LLM-written native ARTIQ control code on a trapped-ion platform [18.226528651110133]
Large-language-model (LLM) agents can write and run experimental control code.<n>Unchecked code can damage the apparatus, and there is no formal, per-operation boundary between human authorization/supervision, and agent decisions.<n>We present a control system that places an LLM agent in the loop of a trapped-ion experiment while enforcing such a boundary.
arXiv Detail & Related papers (2026-06-25T16:19:23Z) - Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems [0.6526824510982799]
This paper presents Proof-Carrying Agent Actions (PCAA), a runtime-neutral governance model centered on an action certificate.<n>PCAA organizes control around five checkpoints: pre-action admissibility, action open, assumption capture, approval, and outcome closure.<n>We study the model through a reference implementation in a heterogeneous agent control plane and a disclosure-bounded evaluation protocol.
arXiv Detail & Related papers (2026-06-02T18:10:35Z) - Code as Agent Harness [107.31925305395957]
In emerging agentic systems, code is no longer only a target output.<n>Code increasingly serves as an operational substrate for agent reasoning, acting, environment modeling, and execution-based verification.<n>This survey provides a unified roadmap toward executable, verifiable, and stateful AI agent systems.
arXiv Detail & Related papers (2026-05-18T17:59:03Z) - Protocol-Driven Development: Governing Generated Software Through Invariants and Continuous Evidence [2.124730017640531]
We introduce Protocol-Driven Development (PDD), where the primary software artifact is a machine-enforceable protocol rather than code.<n>PDD defines a governance model for automated software engineering.
arXiv Detail & Related papers (2026-05-13T04:23:14Z) - ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents [45.88028371034407]
ElephantBroker is an open source cognitive runtime that unifies a Neo4j knowledge graph with a Qdrant vector store.<n>The system implements a complete cognitive loop (store, retrieve, score, compose, protect, learn) comprising a hybrid five source retrieval pipeline.
arXiv Detail & Related papers (2026-03-26T07:03:12Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.