majiayu000
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ask-opencli
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
Overview
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.
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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 themulti-ai-researchskill 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) → useask-geminiskill 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 new | opencli grok ask "..." --new true | grok 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:
- Inner:
--timeout 300— grok.com web response wait time - Outer:
OPENCLI_BROWSER_COMMAND_TIMEOUT=300environment variable — entire browser command execution timeout (default 60s, hardcoded inruntime.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 thanOPENCLI_BROWSER_COMMAND_TIMEOUT-f json— structured output (recommended over--format plainfor 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)
- opencli installed:
opencli --versionshould print a version. - Chrome running with Browser Bridge extension loaded — the extension is installed from
~/Desktop/code/AI/tools/opencli/extension/viachrome://extensions→ Developer mode → Load unpacked. If the extension is missing,opencli doctorwill flag it. - Logged in to the target site:
- Grok:
grok.commust be logged in - Gemini:
gemini.google.commust be logged in
- Grok:
- Daemon connectivity: run
opencli doctoronce 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
- Decide which model to use (Grok vs Gemini). If unclear, ask.
- Build the prompt. Be explicit — these browser UIs have no system prompt so the full question must be self-contained.
- Run the opencli command with
--format plain. - 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.
- Save an artifact (see below).
- 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:
- Original user task — what the user asked you
- Model — grok or gemini, plus any flags used (--new, --web, --timeout)
- Final prompt sent — the exact string passed to
opencli ... ask - Raw response — the full output from opencli
- Summary — 2-3 bullets distilling the key points
- 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}}
File metadata
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.
View original text
---
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 new` | `opencli grok ask "..." --new true` | grok 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`:
```js
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)
```bash
OPENCLI_BROWSER_COMMAND_TIMEOUT=300 opencli grok ask "{{PROMPT}}" --timeout 300 -f json
```
Or if env var already exported in shell:
```bash
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
```bash
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:
```bash
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
```bash
# 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}}
Review the source
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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 265 stars, 26 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
Indexed
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- majiayu000/spellbook
- License
- MIT
- Version
- 1.0.0
- Last GitHub push
- Aug 31, 2026
- Registry updated
- Sep 3, 2026
- Instruction path
- skills/ask-opencli/SKILL.md @ fe75ff5c4588
Version reported in registry metadata; check source releases before relying on it.
Quality
68/100
Promising
Trust
62/100
Sandbox only
Audit
75/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 265 stars, 26 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"label": "Manual review",
"version": "trust-score-v4",
"install_policy": "block",
"evidence": {
"stars": "265 GitHub stars",
"repoActivity": "265 stars, 26 forks",
"lastPushed": "1mo since push",
"license": "MIT",
"repository": "https://github.com/majiayu000/spellbook/tree/main/skills/ask-opencli",
"install": "npx skills add majiayu000/spellbook --skill ask-opencli",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"automation",
"agent-skill"
],
"known_risks": [
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 265 stars, 26 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 75,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 265 stars, 26 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 68,
"label": "Promising"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "Testing and QA",
"maintenance": "1mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
],
"agent_contract": {
"task_input": "Use ask-opencli in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 70/100 Manual review",
"Audit: 75/100 Needs review",
"Safety: 27/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "majiayu000-ask-opencli (ask-opencli)",
"install_command": "npx skills add majiayu000/spellbook --skill ask-opencli",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "majiayu000-ask-opencli",
"task": "Use ask-opencli in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/majiayu000-ask-opencli",
"api": "https://www.openagentskill.com/api/agent/skills/majiayu000-ask-opencli",
"audit": "https://www.openagentskill.com/skills/majiayu000-ask-opencli/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=majiayu000-ask-opencli&task=Use%20ask-opencli%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ask-opencli%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ask-opencli%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/majiayu000-ask-opencli/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/majiayu000-ask-opencli"
}
}For the creator
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- Source
- majiayu000/spellbook
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