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Agent Skill · 研究检索

opencli-autofix(opencli 自动修复)

opencli-autofix 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

opencli-autofix 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 1,318。

总安装 100,368周安装 4,065GitHub Stars 18,326下载 32,472核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:opencli-autofix(opencli 自动修复)
来源仓库:https://github.com/jackwener/opencli
仓库路径:skills/opencli-autofix
安装命令:
npx skills add https://github.com/jackwener/opencli --skill opencli-autofix
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jackwener/opencli --skill opencli-autofix

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

opencli-autofix 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于自动修复相关的文档查询和技术方案检索场景。通过关键词匹配和来源仓库分析,帮助 Agent 快速定位相关技术资源。

安装命令:npx skills add https://github.com/jackwener/opencli --skill opencli-autofix。建议确认权限范围和维护状态,避免触发联网或文件读写操作。

来源仓库内路径:skills/opencli-autofix

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jackwener/opencli --skill opencli-autofix;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

opencli-autofix 怎么安装?

在终端执行 npx skills add https://github.com/jackwener/opencli --skill opencli-autofix。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

opencli-autofix 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

opencli-autofix 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

opencli-autofix 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

opencli-autofix 用的人多吗?

公开数据是累计安装 100,368 次,近一周安装 4,065 次,下载 32,472 次,GitHub 18,326 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

opencli-autofix 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 18,326 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
opencli-autofix

opencli 自动修复 · 本页

100,36818,326操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

OpenCLI AutoFix — Automatic Adapter Self-Repair

When an opencli command fails because a website changed its DOM, API, or response schema, automatically diagnose, fix the adapter, and retry — don't just report the error.

Safety Boundaries

Before starting any repair, check these hard stops:

  • AUTH_REQUIRED (exit code 77) — STOP. Do not modify code. Tell the user to log into the site in Chrome.
  • BROWSER_CONNECT (exit code 69) — STOP. Do not modify code. Tell the user to run opencli doctor.
  • CAPTCHA / rate limiting — STOP. Not an adapter issue.

Scope constraint:

  • Only modify the file at RepairContext.adapter.sourcePath — this is the authoritative adapter location (may be clis/<site>/ in repo or ~/.opencli/clis/<site>/ for npm installs)
  • Never modify src/, extension/, tests/, package.json, or tsconfig.json

Retry budget: Max 3 repair rounds per failure. If 3 rounds of diagnose → fix → retry don't resolve it, stop and report what was tried.

Prerequisites

opencli doctor    # Verify extension + daemon connectivity

When to Use This Skill

Use when opencli <site> <command> fails with repairable errors:

  • SELECTOR — element not found (DOM changed)
  • EMPTY_RESULT — no data returned (API response changed)
  • API_ERROR / NETWORK — endpoint moved or broke
  • PAGE_CHANGED — page structure no longer matches
  • COMMAND_EXEC — runtime error in adapter logic
  • TIMEOUT — page loads differently, adapter waits for wrong thing

Before Entering Repair: "Empty" ≠ "Broken"

EMPTY_RESULT — and sometimes a structurally-valid SELECTOR that returns nothing — is often not an adapter bug. Platforms actively degrade results under anti-scrape heuristics, and a "not found" response from the site doesn't mean the content is actually missing. Rule this out before committing to a repair round:

  • Retry with an alternative query or entry point. If opencli xiaohongshu search "X" returns 0 but opencli xiaohongshu search "X 攻略" returns 20, the adapter is fine — the platform was shaping results for the first query.
  • Spot-check in a normal Chrome tab. If the data is visible in the user's own browser but the adapter comes back empty, the issue is usually authentication state, rate limiting, or a soft block — not a code bug. The fix is opencli doctor / re-login, not editing source.
  • Look for soft 404s. Sites like xiaohongshu / weibo / douyin return HTTP 200 with an empty payload instead of a real 404 when an item is hidden or deleted. The snapshot will look structurally correct. A retry 2-3 seconds later often distinguishes "temporarily hidden" from "actually gone".
  • "0 results" from a search is an answer. If the adapter successfully reached the search endpoint, got an HTTP 200, and the platform returned results: [], that is a valid answer — report it to the user as "no matches for this query" rather than patching the adapter.

Only proceed to Step 1 if the empty/selector-missing result is reproducible across retries and alternative entry points. Otherwise you're patching a working adapter to chase noise, and the patched version will break the next working path.

Step 1: Collect Diagnostic Context

Run the failing command with diagnostic mode enabled:

OPENCLI_DIAGNOSTIC=1 opencli <site> <command> [args...] 2>diagnostic.json

This outputs a RepairContext JSON between ___OPENCLI_DIAGNOSTIC___ markers in stderr:

{
  "error": {
    "code": "SELECTOR",
    "message": "Could not find element: .old-selector",
    "hint": "The page UI may have changed."
  },
  "adapter": {
    "site": "example",
    "command": "example/search",
    "sourcePath": "/path/to/clis/example/search.js",
    "source": "// full adapter source code"
  },
  "page": {
    "url": "https://example.com/search",
    "snapshot": "// DOM snapshot with [N] indices",
    "networkRequests": [],
    "consoleErrors": []
  },
  "timestamp": "2025-01-01T00:00:00.000Z"
}

Parse it:

# Extract JSON between markers from stderr output
cat diagnostic.json | sed -n '/___OPENCLI_DIAGNOSTIC___/{n;p;}'

Step 2: Analyze the Failure

Read the diagnostic context and the adapter source. Classify the root cause:

Error CodeLikely CauseRepair Strategy
SELECTORDOM restructured, class/id renamedExplore current DOM → find new selector
EMPTY_RESULTAPI response schema changed, or data movedCheck network → find new response path
API_ERROREndpoint URL changed, new params requiredDiscover new API via network intercept
AUTH_REQUIREDLogin flow changed, cookies expiredSTOP — tell user to log in, do not modify code
TIMEOUTPage loads differently, spinner/lazy-loadAdd/update wait conditions
PAGE_CHANGEDMajor redesignMay need full adapter rewrite

Key questions to answer:

  1. What is the adapter trying to do? (Read the source field)
  2. What did the page look like when it failed? (Read the snapshot field)
  3. What network requests happened? (Read networkRequests)
  4. What's the gap between what the adapter expects and what the page provides?

Step 3: Explore the Current Website

Use opencli browser to inspect the live website. Never use the broken adapter — it will just fail again.

DOM changed (SELECTOR errors)

# Open the page and inspect current DOM
opencli browser open https://example.com/target-page && opencli browser state

# Look for elements that match the adapter's intent
# Compare the snapshot with what the adapter expects

API changed (API_ERROR, EMPTY_RESULT)

# Open page with network interceptor, then trigger the action manually
opencli browser open https://example.com/target-page && opencli browser state

# Interact to trigger API calls
opencli browser click <N> && opencli browser network

# Narrow to the request you care about by the fields its body should have
opencli browser network --filter author,text,likes

# Inspect specific API response (key is the `key` field from the default JSON output)
opencli browser network --detail <key>

Step 4: Patch the Adapter

Read the adapter source file at the path from RepairContext.adapter.sourcePath and make targeted fixes. This path is authoritative — it may be in the repo (clis/) or user-local (~/.opencli/clis/).

# Read the adapter (use the exact path from diagnostic)
cat <RepairContext.adapter.sourcePath>

Common Fixes

Selector update:

// Before: page.evaluate('document.querySelector(".old-class")...')
// After:  page.evaluate('document.querySelector(".new-class")...')

API endpoint change:

// Before: const resp = await page.evaluate(`fetch('/api/v1/old-endpoint')...`)
// After:  const resp = await page.evaluate(`fetch('/api/v2/new-endpoint')...`)

Response schema change:

// Before: const items = data.results
// After:  const items = data.data.items  // API now nests under "data"

Wait condition update:

// Before: await page.wait({ selector: '.loading-spinner', hidden: true })
// After:  await page.wait({ selector: '[data-loaded="true"]' })

Rules for Patching

  1. Make minimal changes — fix only what's broken, don't refactor
  2. Keep the same output structure — columns and return format must stay compatible
  3. Prefer API over DOM scraping — if you discover a JSON API during exploration, switch to it
  4. **Use @jackwener/opencli/* imports only** — never add third-party package imports
  5. Test after patching — run the command again to verify
  6. Never relax verify/<cmd>.json fixtures to silence a failure. A failing patterns / notEmpty / mustNotContain / mustBeTruthy rule means the adapter's output is broken. Tighten the adapter so it produces correct values; do not loosen the fixture to accept the broken values. The one legitimate reason to edit a fixture during repair is when the site itself changed shape (e.g. URL format migration) — in that case update the fixture and note the change in ~/.opencli/sites/<site>/notes.md. Otherwise editing the fixture is covering up a silent correctness regression.

Step 5: Verify the Fix

# Run the command normally (without diagnostic mode)
opencli <site> <command> [args...]

If it still fails, go back to Step 1 and collect fresh diagnostics. You have a budget of 3 repair rounds (diagnose → fix → retry). If the same error persists after a fix, try a different approach. After 3 rounds, stop and report what was tried.

Step 6: File an Upstream Issue

If the retry passes, the local adapter has drifted from upstream. File a GitHub issue so the fix flows back to jackwener/OpenCLI.

Do NOT file for:

  • AUTH_REQUIRED, BROWSER_CONNECT, ARGUMENT, CONFIG — environment/usage issues, not adapter bugs
  • CAPTCHA or rate limiting — not fixable upstream
  • Failures you couldn't actually fix (3 rounds exhausted)

Only file after a verified local fix — the retry must pass first.

Procedure:

  1. Prepare the issue content from the RepairContext you already have:

- Title: [autofix] <site>/<command>: <error_code> (e.g. [autofix] zhihu/hot: SELECTOR) - Body (use this template):

## Summary
OpenCLI autofix repaired this adapter locally, and the retry passed.

## Adapter
- Site: `<site>`
- Command: `<command>`
- OpenCLI version: `<version from opencli --version>`

## Original failure
- Error code: `<error_code>`

~~~
<error_message>
~~~

## Local fix summary

~~~
<1-2 sentence description of what you changed and why>
~~~

_Issue filed by OpenCLI autofix after a verified local repair._
  1. Ask the user before filing. Show them the draft title and body. Only proceed if they confirm.
  2. If the user approves and gh auth status succeeds:
gh issue create --repo jackwener/OpenCLI \
  --title "[autofix] <site>/<command>: <error_code>" \
  --body "<the body above>"

If gh is not installed or not authenticated, tell the user and skip — do not error out.

When to Stop

Hard stops (do not modify code):

  • AUTH_REQUIRED / BROWSER_CONNECT — environment issue, not adapter bug
  • Site requires CAPTCHA — can't automate this
  • Rate limited / IP blocked — not an adapter issue

Soft stops (report after attempting):

  • 3 repair rounds exhausted — stop, report what was tried and what failed
  • Feature completely removed — the data no longer exists
  • Major redesign — needs full adapter rewrite via opencli-adapter-author skill

In all stop cases, clearly communicate the situation to the user rather than making futile patches.

Example Repair Session

1. User runs: opencli zhihu hot
   → Fails: SELECTOR "Could not find element: .HotList-item"

2. AI runs: OPENCLI_DIAGNOSTIC=1 opencli zhihu hot 2>diag.json
   → Gets RepairContext with DOM snapshot showing page loaded

3. AI reads diagnostic: snapshot shows the page loaded but uses ".HotItem" instead of ".HotList-item"

4. AI explores: opencli browser open https://www.zhihu.com/hot && opencli browser state
   → Confirms new class name ".HotItem" with child ".HotItem-content"

5. AI patches: Edit adapter at RepairContext.adapter.sourcePath — replace ".HotList-item" with ".HotItem"

6. AI verifies: opencli zhihu hot
   → Success: returns hot topics

7. AI prepares upstream issue draft, shows it to the user

8. User approves → AI runs: gh issue create --repo jackwener/OpenCLI --title "[autofix] zhihu/hot: SELECTOR" --body "..."

平台分布

Codex

39.31%
按下载量换算12,765

Claude

30.21%
按下载量换算9,810

Cursor

18.61%
按下载量换算6,043

Gemini CLI

9.76%
按下载量换算3,169

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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