SkillAtlasSkill 详情

ask-opencli

106 Cross-Runtime Skills | 7 Claude Code Agents | One Command Install

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项目 README

来源文件:README.md

抓取于 2026年9月6日

Spellbook

106 Cross-Runtime Skills | 7 Claude Code Agents | One Command Install

A cross-runtime skill library for Claude Code, Codex, and multi-agent workflows.

Stars License Skills Agents

Quick Start • Runtime Targets • Pick a Workflow • Skills • Agents • Changelog • Release Status • Contributing • 中文


Rename notice: Spellbook was formerly Claude Arsenal. Claude Code remains a first-class target; the new name reflects the broader roadmap for Claude Code, Codex, and cross-runtime agent skills. See the migration note for details.


Quick Start

Start with one job-shaped workflow. The maintained skills CLI lets you choose the supported coding agents during installation and installs only these four skills:

npx skills add majiayu000/spellbook --skill frontend-design --skill app-ui-design --skill ui-design-system --skill figma-to-react

Use npx skills add majiayu000/spellbook --list to inspect the catalog before installing. See Pick a Workflow for four other focused starting points.

Advanced Cross-Runtime Installer

install.sh remains available when you want explicit Claude Code/Codex target paths or need to install the repository's Claude Code agents as well as skills.

# Install all skills and supported agents into both maintained runtimes
curl -fsSL https://raw.githubusercontent.com/majiayu000/spellbook/main/install.sh | bash -s -- --target all

# Or clone the repository and select skills explicitly
git clone https://github.com/majiayu000/spellbook.git
cd spellbook
./install.sh --target all --skills typescript-project,python-project,devops-excellence

Verify Installation

  • Claude Code: type / to see your installed skills.
  • Codex: restart Codex so it reloads ~/.agents/skills.

Runtime Targets

Spellbook keeps the skill source in one place and installs it into the runtime you use.

TargetInstalled ToStatus
Claude Code~/.claude/skills plus ~/.claude/agentsSkills and agents supported
Codex~/.agents/skillsSkills supported; agents skipped
AllBoth Claude Code and Codex pathsRecommended for multi-tool users

Claude Code remains a first-class target and search entry. The project was formerly known as Claude Arsenal; the new Spellbook name reflects the broader goal: reusable skills that can travel across coding agents. Older Spellbook versions installed Codex skills under ~/.codex/skills; reinstall with the current installer to use the documented Codex user-level skill path.


Pick a Workflow

Start with a small bundle that matches the job, then add more skills when the workflow sticks.

WorkflowInstallGood for
Frontend and UInpx skills add majiayu000/spellbook --skill frontend-design --skill app-ui-design --skill ui-design-system --skill figma-to-reactProduct UI, landing pages, design systems, Figma handoff
Code qualitynpx skills add majiayu000/spellbook --skill codebase-audit --skill flowguard --skill systematic-debugging --skill review-gateAudits, guarded delivery, root-cause debugging, pre-landing review
Ops and releasenpx skills add majiayu000/spellbook --skill release-engineering --skill server-security --skill clash-doctor --skill system-doctorRelease planning, server hardening, and local or network diagnosis
Product and docsnpx skills add majiayu000/spellbook --skill product-discovery --skill prd-master --skill technical-spec --skill product-analyticsDiscovery, PRDs, technical specs, metrics plans
Agent workflowsnpx skills add majiayu000/spellbook --skill codex-agent --skill multi-ai-research --skill flowguard --skill vibeguardCross-review, multi-AI research, context handoff, anti-hallucination checks

High-signal individual skills to try first: github-trending, harmonyos-app, app-ui-design, product-discovery, xiaohongshu, codebase-audit, and server-security.

See Showcase for copy-paste prompts and expected outputs. Use the Spellbook Skill Browser for curated first-party skills, or the Claude Skills Registry for broader community discovery. Release history lives in Changelog.


Why Spellbook

  • Cross-runtime install: one source tree can install into Claude Code and Codex.
  • Validated registry: every installable skill is checked by python3 scripts/validate_skills.py --check.
  • Progressive disclosure: larger skills use references/, templates/, scripts/, and eval files instead of one giant prompt.
  • Practical coverage: engineering, operations, product, UI, content, and agent workflows live in one catalog.

Skills

The generated full skill inventory lives in Skill Registry. Skill layout rules live in Skill Format Policy. Skill authoring quality rules live in Skill Quality Playbook.

Search the Registry

# Free-text query (AND semantics across name, description, category, tags)
python3 scripts/validate_skills.py search rust testing

# Filter by tag
python3 scripts/validate_skills.py search --tag agent

# Restrict to a description language
python3 scripts/validate_skills.py search --language zh deploy

# Machine-readable output
python3 scripts/validate_skills.py search --tag react --json

The tag index lives in registry/tags.json for tooling and dashboards. Curated overrides for skills the keyword heuristic cannot infer live in registry/tag_overrides.yml.

Audit non-blocking skill quality signals:

python3 scripts/audit_skill_quality.py
python3 scripts/audit_skill_quality.py skill-creator

AI & Agent Workflow

Skills for orchestrating, guarding, and maintaining AI agent workflows — the core of Spellbook's cross-runtime mission.

SkillDescription
multi-model-orchestratorCoordinate multi-agent tasks via a centralized handoff document
flowguardGuard long, ambiguous, or stateful agent tasks from drift
skill-lifeguardAdd reliable-skill contracts, checkpoints, smoke hooks, and drift signals
review-gateProduce review packs and require human approval before landing agent changes
skill-auditAudit, design, categorize, and measure agent skills
skill-ecosystem-doctorGovern canonical sources, projections, retirement, quarantine, and cross-runtime verification
threadsCodex-native subagents and parallel GitHub queue lanes
codex-fluentCodex session hygiene, archive strategy, and handoff discipline
codex-retrospectiveCodex self-review of recent history to improve behavior
brainstormingSocratic dialogue for design refinement and architecture exploration

See docs/agent-reliability-trio.md for the Reliable Skill + Context Engineering + Review Gate workflow.

Development Architecture

Build production-ready projects with language-specific best practices.

SkillLanguageKey Features
typescript-projectTypeScriptESM, Zod, Biome, Clean Architecture
python-projectPythonuv, Pydantic, Ruff, FastAPI
rust-projectRustCargo workspace, error handling, async
golang-webGoChi/Echo, sqlc, structured logging
zig-projectZigBuild system, memory management
architecture-foundationCross-languageRuntime, state ownership, adapters, and convergence specs
elegant-architectureCross-languageClean architecture with strict 200-line file limits

Product Lifecycle

End-to-end product development from discovery to deployment.

SkillPhaseWhat You Get
product-discoveryDiscoveryJTBD, user interviews, market research
prd-masterDefinitionPRD writing, user stories, RICE prioritization
technical-specDesignDesign docs, ADR, C4 diagrams
product-analyticsGrowthEvent tracking, A/B testing, AARRR
devops-excellenceDeploymentCI/CD, Docker, Kubernetes, GitOps
observability-sreOperationsMonitoring, logging, tracing, SLO/SLI
product-manager-toolkitDefinitionRICE, customer interviews, PRD templates, discovery frameworks

API & Backend

SkillDescription
api-designREST/GraphQL/gRPC patterns, OpenAPI 3.2
auth-securityOAuth 2.1, JWT, security best practices
database-patternsPostgreSQL, Redis, migrations, optimization
codebase-auditDeep adaptive repository audit with severity-ranked findings and repair roadmap
structured-logging-liteCentralized logging, field standards, and distributed tracing

Development Practices

SkillDescriptionOrigin
contributorEnd-to-end open source contribution workflow from issue discovery to PR submissionCustom
repo-agent-context-auditAudit and scaffold repo agent context across AGENTS, skills, and specsCustom
skill-creatorCreate, improve, and benchmark reusable skillsCustom
humanizerRemove obvious AI writing patterns from user-facing textExternal guide + custom adaptation

Delivery Workflow

Disciplined end-to-end delivery: testing, commits, health checks, and contribution flow.

SkillDescription
app-user-story-qaEnd-to-end app feature inventory, canonical tracker, user-story testing, fixes, and retest loop
test-driven-developmentEnforce RED-GREEN-REFACTOR TDD discipline
comprehensive-testingTest pyramid, unit/integration/E2E/property testing, framework best practices
git-commit-smartGenerate meaningful conventional commit messages from diff
push-allStage, commit, and push all changes after safety checks
project-health-auditorCodebase health, tech debt, dependency, and project risk analysis
contribution-architectMove from bug fixes to architectural improvements and debt discovery

Cross-Tool Interop

Skills for using multiple coding agents and CLI tools together.

SkillDescription
codexInvoke Codex CLI sessions from another agent workflow
codex-agentOptional second-opinion review, cross-verification, and alternatives through Codex CLI
sol-luna-routerKeep GPT-5.6 Sol as commander/reviewer while GPT-5.6 Luna performs bounded implementation
ask-opencliAsk Grok or Gemini through opencli and an existing browser session
multi-ai-researchParallel research across multiple AI tools and internal agents

UI/UX & Design

SkillDescription
app-ui-designiOS/Android UI design, Material Design 3, HIG
product-ux-expertUX evaluation, heuristics, accessibility
frontend-designWeb frontend design patterns
ui-designerExtract design systems from UI screenshots and references
ui-design-systemDesign system toolkit and design-dev handoff support
web-artifacts-builderClaude.ai HTML artifacts
react-best-practicesReact and Next.js performance patterns distilled from Vercel guidance
react-hooks-best-practicesReact hooks, effects, refs, and component design patterns
slidesSpeech-friendly slide deck and background slide generation
ui-ux-pro-maxCompact UI/UX tables for product patterns, landing pages, charts, and 9 stacks
figma-to-codeFigma designs to production React/Next.js with TypeScript and Tailwind
css-debugDiagnose CSS/layout issues, Tailwind conflicts, z-index stacking
playwright-automationBrowser automation and testing with Playwright

Tooling & Automation

SkillDescription
web-asset-generatorFavicons, app icons, OG images
github-trendingGitHub trending analysis
vibeguardTask contracts, finding scoring, and lightweight anti-hallucination reviews
clash-doctorClash proxy & network diagnostics
clash-routesInspect active proxy routes for specific processes via Mihomo API
optimize-networkSafe local network speed, latency, DNS, Wi-Fi, and bufferbloat diagnostics with VPN/proxy guardrails
disk-cleanerScan and reclaim disk space with interactive cleanup guidance
system-doctorDiagnose CPU, memory, and process-level system slowdowns
codex-log-guardDiagnose and mitigate excessive Codex local SQLite diagnostic log writes
server-securityAudit and harden Linux server SSH, firewall, and exposed services
cliproxy-newapi-stackAdd a loopback-first NewAPI metering layer to an independently verified CLIProxyAPI upstream

Operations & Deploy

Deploy models and diagnose local and remote environments.

SkillDescription
gemma4-local-deployDeploy Gemma 4 12B locally on Mac/Apple Silicon via llama.cpp or Ollama
gpu-useInspect remote server GPU usage (per-card VRAM, processes, containers)
rustdesk-doctorDiagnose RustDesk connection issues
vscode-doctorDiagnose slow or freezing VS Code-compatible editors

Content & Social Media

SkillDescription
xiaohongshuXiaohongshu content creation & publishing
trip-plannerTravel itinerary planning
weeklyWeekly report from Git, Claude Code, and Codex sessions
xiaohongshu-netfeel-guardianRemove translation-tone from Claude's Chinese content for native readability

Mobile & Cross-Platform

SkillDescription
harmonyos-appHarmonyOS with ArkTS, ArkUI, Stage Model

Rust Specific

SkillDescription
rust-best-practicesMicrosoft Rust guidelines, error handling

Agents

Specialized agents for complex tasks.

AgentExpertiseUse Case
tech-lead-orchestratorCoordinationMulti-step tasks, delegation
code-archaeologistExplorationLegacy codebase documentation
backend-typescript-architectArchitectureBun/Node.js, API design
senior-code-reviewerReviewSecurity, performance, architecture
kubernetes-specialistInfrastructureK8s, Helm, GitOps
security-auditorSecurityOWASP Top 10, SAST
opensource-contributorContributionOpen source workflow

Plugins

Spellbook is also a Claude Code plugin marketplace. Install the repo as a marketplace, then install plugins from it:

/plugin marketplace add majiayu000/spellbook
/plugin install idea-coach
/plugin install rust-dev
PluginDescription
idea-coachOpinionated product coach (idea -> PRD -> clickable HTML prototype) + multi-role idea group chat; plugin commands are /idea-coach:idea and /idea-coach:idea-team
rust-devRust best practices, code review, performance, and async patterns

Plugin skills are packaged copies of catalog skills; the catalog (installed by install.sh) remains the cross-runtime source of truth.


Skill Design Philosophy

Every skill in Spellbook follows these principles:

  1. Hard Rules - Mandatory constraints with FORBIDDEN / REQUIRED markers
  2. Practical Examples - Real code, not just theory
  3. Verification Checklists - Actionable validation steps
  4. Battle-Tested - Used in production environments

Documentation

DocumentDescription
ChangelogRelease history and current release status
Installation GuideDetailed setup instructions
Runtime TargetsClaude Code and Codex installation targets
ShowcaseCopy-paste workflow demos
Spellbook Operating ContractAgent behavior rules for autonomy, escalation, pushback, feedback loops, and done-when checks
Skill Format PolicyDirectory vs file skill layout rules
Skill Quality PlaybookTrigger descriptions, gotchas, progressive disclosure, and verification
Skill Testing GuideHow to validate skills work
Creating PluginsBuild your own skills
Product Lifecycle (EN)Full lifecycle coverage
Product Lifecycle (中文)产品生命周期覆盖

Release Status

Spellbook is in pre-1.0 release-readiness mode. No numbered GitHub release tag has been cut yet; the current install path uses the repository main branch. See Changelog for release history.

Current limitations:

  • Codex installs skills only; Claude Code agents are skipped for Codex targets.
  • Some skills depend on external CLIs, accounts, credentials, or platform access that are not bundled by the installer.
  • The registry validator checks installable skill structure, not every external workflow end to end.

Support paths:


Credits

Built on the shoulders of giants:


Contributing

Contributions welcome! Please read our Contributing Guide first.


The Agent Infra Stack

This project is one layer of an open-source stack for running coding agents (Claude Code, Codex) as serious infrastructure. Every piece works standalone; together they close the loop:

spellbook sits in the Extend layer — the authoring side of the skill story: write once, run on Claude Code and Codex. Discovery and distribution live in claude-skill-registry.

LayerProjectWhat it does
Extendclaude-skill-registryDiscover and search community Claude Code skills
Extendspellbook ◀ you are hereCross-runtime skills for Claude Code, Codex, and multi-agent workflows
TrustargusStatic install-time scanner for supply-chain attacks (npm / PyPI / crates.io)
TrustvibeguardRules, hooks, and guards against hallucinated or unverified agent changes
RememberrememLocal-first persistent memory for Claude Code and Codex sessions
OrchestrateharnessRust agent orchestration platform — rules, skills, GC, observability
Routelitellm-rsHigh-performance Rust AI gateway — 100+ LLM APIs via OpenAI format
KeepkeeplineSession command center — monitor, recover, never lose agent work

License

MIT License - Use freely in your projects.


If this helps you, consider giving it a ⭐

Made for builders using Claude Code, Codex, and multi-agent workflows

浏览器与自动化

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/majiayu000/spellbook.git
  3. 将 "skills/ask-opencli" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/majiayu000/spellbook.git
  3. 将 "skills/ask-opencli" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/majiayu000/spellbook.git
  3. 将 "skills/ask-opencli" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/majiayu000/spellbook.git
  3. 将 "skills/ask-opencli" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/majiayu000/spellbook.git
  3. 将 "skills/ask-opencli" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: ask-opencli
description: Ask Grok or Gemini via opencli (browser-session based, no API cost). Use when the user says "问 grok", "问 gemini", "ask grok", "ask gemini", "用 grok 查", "grok 怎么看", "让 gemini 分析", or wants a second opinion from Grok/Gemini without paying API tokens. Routes to opencli which drives the already-logged-in Chrome session.

Ask via OpenCLI (Grok / Gemini)

Use opencli to query Grok or Gemini through the user's already-logged-in Chrome session. Zero API cost, fully driven by the existing browser session.

opencli 项目:https://github.com/jackwener/opencli 安装:npm install -g @jackwener/opencli(需要 Node ≥20) 首次运行:opencli doctor 会自动引导安装 Chrome Browser Bridge 扩展 登录:用装了扩展的 Chrome profile 打开 grok.com 和 gemini.google.com 登录一次 必须环境变量:export OPENCLI_BROWSER_COMMAND_TIMEOUT=300(写进 shell rc) 更深度的多 AI 并行调研工作流:use the multi-ai-research skill instead

When to trigger:

  • User explicitly asks to query Grok or Gemini ("问一下 grok", "用 gemini 查", "让 grok 看看")
  • User wants a second opinion / external advisor from Grok or Gemini
  • User says "ask grok"/"ask gemini" or mentions these two as the information source

When NOT to trigger:

  • User wants to use native Gemini CLI (gemini -p) → use ask-gemini skill instead
  • User wants Claude's own opinion → answer directly
  • User wants other AI (Doubao, Yuanbao, ChatGPT, etc.) → use other tools

Model selection

If the user doesn't specify which model, default to Grok for real-time / social / news / tech-trend questions, and Gemini for long-form reasoning, research, coding, and document analysis.

If still ambiguous, ask the user which one to use before sending.

⚠️ 常见错误命令(直接 fail fast)

❌ 错误✅ 正确原因
opencli gemini chat "..."opencli gemini ask "..."没有 chat 子命令
opencli grok chat "..."opencli grok ask "..."只有 ask 子命令
opencli grok newopencli grok ask "..." --new truegrok 的"新对话"是 ask 的参数
opencli gemini query "..."opencli gemini ask "..."没有 query 子命令

完整子命令速查(运行 opencli grok --help 或 opencli gemini --help 查看):

Grok:
  ask <prompt>                    # 唯一命令

Gemini:
  ask <prompt>                    # 最常用
  new                             # 开新对话
  deep-research <prompt>          # Deep Research 模式
  deep-research-result [query]    # 取 Deep Research 结果
  image <prompt>                  # 图片生成

⚠️ Critical: Two-layer timeout (from 2026-04-08 debugging)

opencli has two independent timeout layers, both must be set for grok to wait long enough:

  1. Inner: --timeout 300 — grok.com web response wait time
  2. Outer: OPENCLI_BROWSER_COMMAND_TIMEOUT=300 environment variable — entire browser command execution timeout (default 60s, hardcoded in runtime.js:25)

The outer takes priority over the inner. Setting only --timeout 300 still gets killed at 60s. You MUST set both.

Source code: .omx/reference/opencli/dist/src/runtime.js:25:

export const DEFAULT_BROWSER_COMMAND_TIMEOUT = parseEnvTimeout('OPENCLI_BROWSER_COMMAND_TIMEOUT', 60);

Recommended: add export OPENCLI_BROWSER_COMMAND_TIMEOUT=300 to ~/.zshrc so every grok/gemini call has room to breathe.

Commands

Grok (MANDATORY env var)

OPENCLI_BROWSER_COMMAND_TIMEOUT=300 opencli grok ask "{{PROMPT}}" --timeout 300 -f json

Or if env var already exported in shell:

opencli grok ask "{{PROMPT}}" --timeout 300 -f json

Flags:

  • --new true — start a fresh chat (avoids polluting prior conversation context)
  • --web true — use the hardened grok.com consumer web flow (better error messages)
  • --timeout 300 — MUST match or be lower than OPENCLI_BROWSER_COMMAND_TIMEOUT
  • -f json — structured output (recommended over --format plain for parsing)

Gemini

opencli gemini ask "{{PROMPT}}" --format plain

Gemini is more stable than grok and usually doesn't hit the 60s timeout. No env var required but adding it doesn't hurt:

OPENCLI_BROWSER_COMMAND_TIMEOUT=300 opencli gemini ask "{{PROMPT}}" --format plain

Flags:

  • --new true — start a fresh chat
  • --timeout 90 — extend timeout for long answers (default 60s)

Parallel dispatch (for multi-AI workflows)

To call grok and gemini in parallel from Claude Code, use the Bash tool with run_in_background=true for both calls in the same assistant turn. Claude Code will launch them concurrently and wait for task-completion notifications.

For deep cross-validation workflows (N internal sub-agents + 2 external AIs, confidence-tiered synthesis), use the multi-ai-research skill instead — it covers the full orchestration pattern.

Prerequisites (check before running)

  1. opencli installed: opencli --version should print a version.
  2. Chrome running with Browser Bridge extension loaded — the extension is installed from ~/Desktop/code/AI/tools/opencli/extension/ via chrome://extensions → Developer mode → Load unpacked. If the extension is missing, opencli doctor will flag it.
  3. Logged in to the target site:
    • Grok: grok.com must be logged in
    • Gemini: gemini.google.com must be logged in
  4. Daemon connectivity: run opencli doctor once per session if unsure.

If any check fails, do not fall back to another tool silently. Report the missing prerequisite and ask the user to fix it (per U-23 no-silent-degradation rule).

Execution protocol

  1. Decide which model to use (Grok vs Gemini). If unclear, ask.
  2. Build the prompt. Be explicit — these browser UIs have no system prompt so the full question must be self-contained.
  3. Run the opencli command with --format plain.
  4. Capture the response. If the command fails with a session/auth/challenge message, stop and surface the error to the user. Do NOT retry blindly.
  5. Save an artifact (see below).
  6. Report back to the user: model used, summary of response, and path to the artifact.

Error handling

opencli will emit specific errors like:

  • "Not logged in to grok.com" → ask user to log in
  • "Composer not found" → DOM changed, ask user to open the site manually and retry
  • "Session gated / challenge" → user needs to solve the challenge in Chrome manually
  • Timeout → offer to retry with a longer --timeout

Do not swallow these. Report verbatim with the fix action.

Artifact requirement

After every successful call, save a markdown artifact to:

.omx/artifacts/ask-opencli-<grok|gemini>-<slug>-<YYYYMMDD-HHMMSS>.md

Minimum sections:

  1. Original user task — what the user asked you
  2. Model — grok or gemini, plus any flags used (--new, --web, --timeout)
  3. Final prompt sent — the exact string passed to opencli ... ask
  4. Raw response — the full output from opencli
  5. Summary — 2-3 bullets distilling the key points
  6. Action items / next steps — what to do with this information

Keep the artifact even when the response is low quality — it documents that the query was made.

Examples

# Quick factual question, Grok default path
opencli grok ask "最新的 Claude 4.6 定价和 4.5 有什么差别?" --format plain

# Long reasoning task, Gemini with extended timeout + fresh chat
opencli gemini ask "分析这段 Rust 代码的并发安全问题:..." --new true --timeout 120 --format plain

# Grok hardened web path with new chat
opencli grok ask "X 上这两天关于 agent framework 的讨论焦点是什么?" --web true --new true --format plain

Task: {{ARGUMENTS}}

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