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nasiko控制平面(实验性)

使用实验性的Nasiko CLI生命周期桥接器,实现固定版本安装、只读状态查询以及具备明确同意的合格卸载,同时严格遵守遥测和机密边界。

nasiko控制平面(实验性) 是什么?

该技能提供了Nasiko CLI的受控生命周期管理桥接,专门针对ECC平台设计。其核心功能包括:仅安装ECC认可的固定版本(当前为v0.1.0),在执行安装、状态查询和卸载操作前强制执行严格的验证流程。它通过使用`ecc nasiko status --json`进行只读状态检查、要求用户明确同意(`--yes`标志)和强制启用`--dry-run`预览来确保安全。该技能不会操作Nasiko控制平面,也不会执行连接、认证或部署等操作——这些任务应直接使用规范Nasiko CLI完成。关键的安全约束包括:不上传或记录机密信息,仅从批准的来源(`https://github.com/Nasiko-Labs/nasiko`,Apache-2.0许可)安装,并始终验证SHA-256摘要。遥测功能必须单独选择加入,安装行为本身不表示遥测同意。如果任何验证步骤(平台、架构、版本、清单、摘要、存档或二进制文件)失败,处理将停止且不执行工件。该技能支持macOS(arm64和x86_64)和Linux(x86_64),并通过`ECC_NASIKO_CLI_EXECUTABLE`环境变量提供开发验证选项。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/nasiko-control-plane

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文档

Nasiko CLI生命周期桥接器

当用户明确要求ECC安装、检查或移除合格的Nasiko CLI时使用此技能。此技能不操作Nasiko控制平面。

安全契约

  • 始终以 ecc nasiko status --json 开始。状态为只读。
  • 安装始终需要用户明确同意并加上 --yes。
  • 仅安装ECC合格且固定版本的CLI,当前为 v0.1.0。
  • 先使用 ecc nasiko install --version v0.1.0 --dry-run --json 进行预览。
  • 只有在用户审查了版本、注册表来源、摘要和安装路径后,才使用 ecc nasiko install --version v0.1.0 --yes --json 进行安装。
  • 仅使用 ecc nasiko uninstall --version v0.1.0 --yes --json 移除仍由ECC管理的合格二进制文件。先使用 --dry-run 预览移除。
  • 合格来源为 https://github.com/Nasiko-Labs/nasiko,基于Apache-2.0许可;工件和提取二进制文件的SHA-256值已固定。
  • 绝不使用下载的Shell或PowerShell引导脚本替换合格命令。
  • 绝不将机密或凭据放入命令参数、日志、技能输出、安装元数据或ECC状态中。
  • Nasiko的遥测功能以及与Nasiko或Ito的任何数据共享必须选择加入并单独披露。安装本身不代表遥测同意。

生命周期边界

初始的ECC桥接器支持合格的安装、只读状态和所有权检查过的卸载。连接、认证、启动、部署或关闭等动词应直接使用规范Nasiko CLI,直到这些动词拥有自己经过验证的ECC契约。请勿猜测CLI动词。

安装CLI并不证明控制平面服务器正在运行、agent受管理、路由或ACL正常工作、可观测性完整、遥测已启用或Ito计算已连接。请分别报告每种状态。

失败行为

  • 如果平台、架构、版本、清单、摘要、归档、二进制文件或安装路径验证失败,则停止执行,不运行工件。
  • 不要回退到 latest。
  • 不要搜索任意 PATH 条目。请使用ECC的合格位置或为开发验证显式指定的绝对路径 ECC_NASIKO_CLI_EXECUTABLE。
  • 不要将部分或不明确的安装视为成功。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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