# Claude Code

Claude Code's changelog says sandboxed Bash commands now follow the normal permission flow by default instead of running without prompts; keeping prompt-free execution requires setting sandbox.autoAllowBashIfSandboxed. The same batch makes read-only git commands ask first in repositories that are not the project's or trusted, and unpacks plugin MCP bundles under the plugins directory so read-only plugin folders load. These changes concern the permission boundary for an agent running commands and loading plugins locally, not model capability.

Claude Code's changelog says sandboxed Bash commands now follow the normal permission flow by default instead of running without prompts; keeping prompt-free execution requires setting sandbox.autoAllowBashIfSandboxed. The same batch makes read-only git commands ask first in repositories that are not the project's or trusted, and unpacks plugin MCP bundles under the plugins directory so read-only plugin folders load. These changes concern the permission boundary for an agent running commands and loading plugins locally, not model capability.

Anthropic's Claude Code changelog adds Code Mode, an experimental opt-in in which Claude writes JavaScript to call its own tools instead of issuing tool calls one at a time. The same update lets plugins declare an engines["claude-code"] version range in plugin.json, so plugins outside their stated range are not installed, updated or loaded, and install and update pick the newest version that fits. The claude plugin validate command now also type-checks a plugin's TypeScript hooks module and reports each finding as a warning.

Anthropic's Claude Code changelog adds Code Mode, an experimental opt-in in which Claude writes JavaScript to call its own tools instead of issuing tool calls one at a time. The same update lets plugins declare an engines["claude-code"] version range in plugin.json, so plugins outside their stated range are not installed, updated or loaded, and install and update pick the newest version that fits. The claude plugin validate command now also type-checks a plugin's TypeScript hooks module and reports each finding as a warning.

A team at Eindhoven University of Technology organized LLM-assisted Dafny verification into a ten-step workflow in which Claude Code acts as a verification construction agent, producing specifications, implementations, invariants and proofs under human supervision. The workflow yielded machine-checked Dafny implementations for 37 algorithms from graph theory, labelled transition systems and computational geometry, including the Hopcroft–Tarjan triconnectivity test; the authors report many verifications within hours to a few days, but ran no controlled comparison against human-led verification.

A team at Eindhoven University of Technology organized LLM-assisted Dafny verification into a ten-step workflow in which Claude Code acts as a verification construction agent, producing specifications, implementations, invariants and proofs under human supervision. The workflow yielded machine-checked Dafny implementations for 37 algorithms from graph theory, labelled transition systems and computational geometry, including the Hopcroft–Tarjan triconnectivity test; the authors report many verifications within hours to a few days, but ran no controlled comparison against human-led verification.

J.Crew launched Style Advisor, an AI stylist on JCrew.com that lets customers shop by complete outfit rather than one product at a time. Online shopping usually handles a single item, so a customer who finds a sweater must search again for matching pants and shoes. Built by J.Crew's team with Claude Code and several Claude models, Style Advisor takes a described occasion and returns complete looks drawn from J.Crew's own photo shoots, shown as photos and open to further refinement; it is available now for women's and men's styles in the U.S.

J.Crew launched Style Advisor, an AI stylist on JCrew.com that lets customers shop by complete outfit rather than one product at a time. Online shopping usually handles a single item, so a customer who finds a sweater must search again for matching pants and shoes. Built by J.Crew's team with Claude Code and several Claude models, Style Advisor takes a described occasion and returns complete looks drawn from J.Crew's own photo shoots, shown as photos and open to further refinement; it is available now for women's and men's styles in the U.S.

Anthropic lowered the API list prices for Opus 5.5, the model used in Claude Code: input and output tokens cost 20% less than on Opus 5, and cache reads cost 60% less, with the read rate dropping from one tenth to one twentieth of the input price. What a task costs depends on turns, cache hits, output tokens and model price, because every turn resends the conversation so far. On an illustrative session with identical token counts, the price change alone takes the bill from $3.50 to $2.40, about 31% less; the stated 40% saving for typical workloads also assumes fewer tokens per task at the medium default.

Anthropic lowered the API list prices for Opus 5.5, the model used in Claude Code: input and output tokens cost 20% less than on Opus 5, and cache reads cost 60% less, with the read rate dropping from one tenth to one twentieth of the input price. What a task costs depends on turns, cache hits, output tokens and model price, because every turn resends the conversation so far. On an illustrative session with identical token counts, the price change alone takes the bill from $3.50 to $2.40, about 31% less; the stated 40% saving for typical workloads also assumes fewer tokens per task at the medium default.

Anthropic built a reference implementation of a scheduled agent automation on Claude Managed Agents (beta): it reads Slack channels and GitHub pull requests from per-source bookmarks, reports only what changed since the last run, and posts the result to one Slack channel. Against the usual failures of scheduled jobs, the configuration keeps a source's bookmark when a read fails and names that source as unreadable at the end of the brief, and it updates bookmarks and its ledger only after Slack confirms a post.

Anthropic built a reference implementation of a scheduled agent automation on Claude Managed Agents (beta): it reads Slack channels and GitHub pull requests from per-source bookmarks, reports only what changed since the last run, and posts the result to one Slack channel. Against the usual failures of scheduled jobs, the configuration keeps a source's bookmark when a read fails and names that source as unreadable at the end of the brief, and it updates bookmarks and its ledger only after Slack confirms a post.

Anthropic has published a skills repository that turns Claude's skills for specialized tasks into self-contained folders, each holding a SKILL.md file with instructions and metadata that Claude loads dynamically when needed. The repository collects example skills across creative, development and testing, and enterprise communication work, and also releases the docx, pdf, pptx and xlsx document skills that power Claude's document capabilities; those four are source-available rather than open source. The skills are presented for demonstration and educational purposes, and Anthropic notes that actual implementations and behaviors may differ, so they should be tested thoroughly before critical use.

Anthropic has published a skills repository that turns Claude's skills for specialized tasks into self-contained folders, each holding a SKILL.md file with instructions and metadata that Claude loads dynamically when needed. The repository collects example skills across creative, development and testing, and enterprise communication work, and also releases the docx, pdf, pptx and xlsx document skills that power Claude's document capabilities; those four are source-available rather than open source. The skills are presented for demonstration and educational purposes, and Anthropic notes that actual implementations and behaviors may differ, so they should be tested thoroughly before critical use.

On the 244 free-form tasks of PromptBio-Bench, Claude Opus 5.5 running in Claude Code completed every task and reached 0.869 accuracy under the original evaluation framework, against 0.758 for Biomni and ToolsGenie and 0.717 for STELLA. With 667 bioinformatics Agent Skills installed, the agent never invoked a skill in 444 subagent sessions; after evaluator defects were fixed, the skills configuration reached 0.918 under a GPT judge and 0.926 under a Claude judge, while the no-skills configuration reached 0.873 and 0.902. Of the 18 remaining failures, 7 trace to defective references and 4 to settings the tasks never state.

On the 244 free-form tasks of PromptBio-Bench, Claude Opus 5.5 running in Claude Code completed every task and reached 0.869 accuracy under the original evaluation framework, against 0.758 for Biomni and ToolsGenie and 0.717 for STELLA. With 667 bioinformatics Agent Skills installed, the agent never invoked a skill in 444 subagent sessions; after evaluator defects were fixed, the skills configuration reached 0.918 under a GPT judge and 0.926 under a Claude judge, while the no-skills configuration reached 0.873 and 0.902. Of the 18 remaining failures, 7 trace to defective references and 4 to settings the tasks never state.

Anthropic's life sciences team reports that Claude has been used inside real drug programs at six organizations, on tasks reaching from molecule design to manufacturing-document review and regulatory filings. Discussion of AI in drug development has centered on proposing initial molecule designs, while manufacturing paperwork stayed manual, with chemists spending up to 75% of their time on records. In Enveda's test, Claude caught all 11 issues human reviewers had flagged across 1,061 pages of documentation and flagged seven more, cutting human review time by 89%, from over 25 hours to less than three; most of these results remain preclinical.

Anthropic's life sciences team reports that Claude has been used inside real drug programs at six organizations, on tasks reaching from molecule design to manufacturing-document review and regulatory filings. Discussion of AI in drug development has centered on proposing initial molecule designs, while manufacturing paperwork stayed manual, with chemists spending up to 75% of their time on records. In Enveda's test, Claude caught all 11 issues human reviewers had flagged across 1,061 pages of documentation and flagged seven more, cutting human review time by 89%, from over 25 hours to less than three; most of these results remain preclinical.