Claude Code System Prompts v2.1.139: Claude Platform on AWS Docs, Summarization Security, PowerShell Tooling
Claude Code system prompts v2.1.139 (+2,248 tokens) is out, bringing a cluster of updates around the new Claude Platform on AWS offering, security hardening in summarization prompts, and a substantial PowerShell tool reference.
Claude Platform on AWS — New Reference Documentation
Reference docs for using the Claude Developer Platform through AWS infrastructure are now included. This covers AnthropicAWS clients, required region and workspace configuration, SigV4 authentication, and short-term API keys. The Building LLM-powered applications with Claude skill now treats Claude Platform on AWS as Anthropic-operated with same-day API parity and full Managed Agents support, while Bedrock, Vertex, and Foundry remain Claude API + tool use only. The Model migration guide adds a section noting that Claude Platform on AWS uses bare first-party model IDs, with the full rename table and breaking-change sections applying verbatim (distinct from Bedrock). Live documentation sources now include WebFetch URLs for the platform and its required IAM actions.
Security-Instructions Preservation in Summarization
Multiple prompts now enforce preservation of security-relevant instructions across compactions:
- Conversation summarization — The agent prompt now requires noting security-relevant instructions or constraints (sensitive files, forbidden operations, credential handling rules) and preserving them verbatim in the summary.
- Recent Message Summarization — Same preservation requirement added.
- Partial compaction instructions — Now also carries security instructions across partial compactions.
PowerShell Tool Reference Table
The PowerShell tool description now includes a substantial reference table mapping Unix commands to PowerShell equivalents. Key entries:
head→Get-Content -Headtail→Get-Content -Tailwhich→Get-Commandtouch→New-Item -ItemType Filewc→Measure-Object -Line -Word -Charactermkdir -p→New-Item -ItemType Directory -Forcerm -rf→Remove-Item -Recurse -Forceln -s→New-Item -ItemType SymbolicLink -Targetchmod→Set-ItemProperty -Path -Name Attributes -Value Normal2>/dev/null→2>&$null/-ErrorAction Ignoreinline VAR=x→$env:VAR = 'x'- bash control flow → PowerShell equivalents
It also clarifies that -ErrorAction SilentlyContinue still causes exit code 1 unless promoted to terminating and caught.
Other Prompt/Skill Changes
- Auto mode system prompt: Drops the "Auto Mode Active" header and reframes destructive-action guidance generically.
- Harness instructions: Removes note that automatic context compaction triggers on long conversations.
- Memory instructions: Replaces 3-4 word titles with short kebab-case slugs, nests type under a metadata block, and introduces
[[their-name]]cross-links between related memories. - Output style system reminder: Lets an output style supply its own per-turn reminder text, falling back to default.
- Task tools & TodoWrite reminders: Removed instructions telling Claude to never mention the reminder to the user.
- Dynamic pacing & self-pacing loop execution: Reordered so the brief confirmation (task ran, monitor as wake signal, fallback delay choice) is written as text before the schedule-wakeup call ends the turn.
- /insights report output: Removes trailing additional-message block from the shareable report.
📖 Read the full source: r/ClaudeAI
👀 See Also

Anthropic Clarifies Claude CLI Usage Policy for OpenClaw Integration
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Anthropic Deprecates Fixed Extended Thinking, Forces Adaptive Thinking on Claude Models
Anthropic is deprecating manual extended thinking (fixed budget) on Opus 4.6 and Sonnet 4.6, and removing it entirely on Opus 4.7 (returns 400 error). Adaptive thinking will be enforced by default, sparked community backlash over perceived cost-cutting.

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A Reddit analysis details the Chinese LLM landscape, identifying ByteDance's Doubao as the proprietary market leader and DeepSeek as the most innovative, while outlining the business models of major players and 'Six AI Small Tigers' focused on open-weight models.

DeepSeek-V4 Pro and Flash: 1.6T Parameters, 1M Token Context, Hybrid Attention
DeepSeek-V4-Pro (1.6T params, 49B active) and V4-Flash (284B params, 13B active) support 1M token context. New hybrid attention (CSA + HCA) reduces single-token inference FLOPs to 27% and KV cache to 10% of DeepSeek-V3.2.