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Agent Skill · 研究检索

deploy-fix(部署修复)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

deploy-fix 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 62,606。

总安装 329周安装 14GitHub Stars 3下载 115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:deploy-fix(部署修复)
来源仓库:https://github.com/alpoxdev/hypercore
仓库路径:skills/deploy-fix
安装命令:
npx skills add https://github.com/alpoxdev/hypercore --skill deploy-fix
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/alpoxdev/hypercore --skill deploy-fix

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。

诊断构建、CI 或部署失败原因,提供安全修复路径或直接修复建议,按复杂度分类处理。适用于 Codex、Claude、Cursor、Gemini CLI 中遇到模块缺失、类型错误或平台特定问题时调用。优先识别错误类型(如编译失败、测试中断),再决定直接修复或分阶段推进。

安装命令为 npx skills add https://github.com/alpoxdev/hypercore --skill deploy-fix。涉及文件系统变更前应备份,避免不可逆操作导致后续部署中断。

来源仓库内路径:skills/deploy-fix

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/alpoxdev/hypercore --skill deploy-fix;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

deploy-fix 怎么安装?

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

deploy-fix 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。

deploy-fix 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

deploy-fix 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。

deploy-fix 用的人多吗?

公开数据是累计安装 329 次,近一周安装 14 次,下载 115 次,GitHub 3 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。

deploy-fix 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
deploy-fix

部署修复 · 本页

3293只读未明确通过

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

Deploy Fix Skill

Diagnose a build, CI, or deployment failure, choose the safest repair path, and fix it — classify complexity first, then either fix directly or track progress through structured phases.

<request_routing>

Positive triggers

  • A build command fails with a concrete error such as Module not found, type errors, or compilation failures.
  • A CI pipeline step fails with a specific error in logs (lint, test, build, or deploy stage).
  • A deployment fails with a concrete error such as function timeout, missing env vars, or platform-specific build errors.
  • A specific folder or workspace within a monorepo fails to build.

Out-of-scope

  • Runtime bugs in application code with a reproduction path. Route to bug-fix.
  • Security audits, exploit review, or trust-boundary analysis. Route to security-review.
  • New feature work, refactors, or speculative cleanup not tied to a concrete failure.
  • General performance optimization without a failing build or deploy.

Boundary cases

  • If the user asks for root-cause analysis only, stay in diagnosis mode and do not edit.
  • If a CI failure is caused by a single runtime bug (e.g., a failing test from a code defect), this skill owns the CI-level fix; hand off the underlying code bug to bug-fix if the root cause is application logic.
  • If the failure spans build + deployment + runtime, own the build/deploy layer and hand off runtime to bug-fix.

</request_routing>

<argument_validation>

If ARGUMENT is missing, ask immediately:

What build/CI/deploy failure should be fixed?
- Error message or failing log output
- Build command or CI step that fails
- Full repo build or specific folder/workspace?
- CI provider (GitHub Actions, Vercel, etc.) if applicable
- Regression or new? (Did it work before? When did it start failing?)
- Consistent or intermittent?
- Recent changes, suspect commits, or environment details
- Relevant config files (package.json, tsconfig, CI config, vercel.json, etc.)

</argument_validation>

<mandatory_reasoning>

Mandatory Sequential Thinking

Always run sequential-thinking before implementation. Depth scales with complexity:

  • Simple (3 thoughts): Identify failing step -> determine fix -> verify approach
  • Medium (5 thoughts): Classify -> reproduce locally -> hypothesize -> compare options -> recommend
  • Complex (7+ thoughts): Classify -> reproduce -> analyze dependency chain -> check CI config -> hypothesize multiple causes -> compare options -> assess cross-cutting impact -> recommend

Recommended sequence:

  1. Complexity classification
  2. Failure reproduction and log analysis
  3. Root-cause hypotheses
  4. Option comparison
  5. Final recommendation

Before any edit, collect root-cause evidence from build logs, CI output, or deployment logs and reduce the problem to the narrowest failing boundary you can verify.

</mandatory_reasoning>

<complexity_classification>

Complexity Classification

Classify immediately after sequential-thinking:

ComplexitySignalsExamplesPath
SimpleSingle file/config, clear error message, obvious root cause, one fix path, low riskMissing env var, single typo in config, one outdated dependency, clear type error in one fileFix-now -- proceed directly without flow tracking
ComplexMultiple packages/configs involved, dependency chain issues, CI environment mismatch, fix has side effects across workspaces, multiple valid fix strategiesCross-workspace type error chain, CI-only failure with no local repro, lockfile conflicts across multiple packages, build succeeds but deploy failsTracked -- create .hypercore/deploy-fix/flow.json

Announce the classification:

Complexity: [simple/complex] -- [one-line reason]

When uncertain, classify as complex. It is cheaper to track than to lose investigation progress.

</complexity_classification>

<flow_tracking>

Flow Tracking (Complex Path Only)

When classified as complex, initialize the flow:

mkdir -p .hypercore/deploy-fix

Write .hypercore/deploy-fix/flow.json and update it as each phase progresses. See references/flow-schema.md for the full schema.

Phase progression

PhaseDescriptionNext
investigateReproduce failure, analyze logs, isolate root causeoptions
optionsPresent 2-3 fix options with tradeoffsconfirm
confirmWait for and record user selectionfix
fixImplement selected optionverify
verifyRun build/CI/deploy validation, report outcomedone

Resume support

If .hypercore/deploy-fix/flow.json already exists, read it first and continue from the last incomplete phase (in_progress or pending). Do not restart completed phases.

</flow_tracking>

<execution_modes>

Use one of these branches explicitly:

  • Diagnose-only: reproduce failure, isolate the failing step, summarize evidence, and stop before code edits.
  • Fix-now (simple path): If the user explicitly asks for a direct fix and one path is clearly the safest, say which path you are taking and implement without a second confirmation round. No flow tracking.
  • Option-first (complex path): present 2-3 repair options with flow tracking and wait for user selection.
  • Handoff: route runtime application bugs to bug-fix and security review requests to security-review.

</execution_modes>

<investigation_strategy>

Investigation Strategy

Check these areas in order of likelihood:

  1. Build logs: read the exact error output, identify the first failure point
  2. Dependency issues: lockfile conflicts (package-lock.json/pnpm-lock.yaml integrity), missing packages, version mismatches, peer dependency warnings, hoisting problems
  3. Config files: tsconfig.json, package.json, next.config.*, vercel.json/vercel.ts, CI workflow files, bundler config
  4. Environment: Node.js version, env vars, platform-specific differences (local vs CI vs deploy target), memory limits (OOM during build)
  5. Build cache: stale or corrupted build cache (.next/, .turbo/, node_modules/.cache/), --force rebuild to isolate
  6. Cross-workspace: monorepo dependency graph, build order, shared package version drift
  7. Recent changes: git log and git diff to find suspect commits that may have introduced the failure

</investigation_strategy>

Simple Path (Fix-now)

StepTaskTool
1Validate input, sequential-thinking (3 thoughts)sequential-thinking
2Classify as simple-
3Reproduce failure locally, read error outputBash + Read
4Identify root cause from logs/configRead/Grep/Glob
5Announce fix path and implementEdit
6Run validation (build/lint/typecheck/deploy)Bash
7Report outcome and changed files-

Complex Path (Option-first)

StepTaskTool
1Validate input, sequential-thinking (7+ thoughts)sequential-thinking
2Classify as complex, create .hypercore/deploy-fix/flow.jsonWrite
3Deep investigation: reproduce, analyze logs, trace dependency chain -> update flow investigate: completedBash + Read/Grep/Glob + Edit
4Present 2-3 fix options -> update flow options: completedEdit
5Wait for user selection -> update flow confirm: completedEdit
6Implement selected option -> update flow fix: completedEdit/Write
7Run validation -> update flow verify: completedBash + Edit
8Report outcome, set flow status to completedEdit

<option_presentation>

Use this format (complex path):

## Deploy Failure Analysis

**Root cause**: ...
**Failure scope**: [repo-wide / workspace / CI step / deploy target]
**Complexity**: complex

### Option 1: ... (Recommended)
- **Pros**:
- **Cons**:
- **Risk**:
- **Files**:

### Option 2: ...
- **Pros**:
- **Cons**:
- **Risk**:
- **Files**:

### Option 3: ... (Temporary)
- **Pros**:
- **Cons**:
- **Risk**:
- **Files**:

Recommendation: Option N (reason ...)
Which option should I apply? (1/2/3)

</option_presentation>

<implementation_rules>

  • Do not modify code before user option selection unless in the explicit Fix-now branch.
  • Avoid speculative edits; use evidence from build/CI/deploy logs only.
  • Keep scope limited to the failing build/CI/deploy path and its direct dependencies.
  • Always run targeted validation for the changed path: rebuild the failing target, re-run the failing CI step, or re-trigger the failing deploy.
  • Report the commands run, the key result lines, and the touched files in the final report.
  • If validation cannot run locally (e.g., CI-only environment), say why and what remains unverified.

Reporting

After execution, report:

## Done

**Failure**: [original error / failing step]
**Root cause**: [what was wrong]
**Fix applied**: [which option or approach]
**Changes**: [list of changed files]
**Validation**: [what was verified and result]

For complex path: also update .hypercore/deploy-fix/flow.json status to completed.

</implementation_rules>

Execution checklist:

  • ARGUMENT validated
  • sequential-thinking completed (depth matches complexity)
  • Complexity classified (simple/complex)
  • Flow JSON created and maintained (complex path only)
  • Root-cause evidence collected from logs/config
  • 2-3 options presented (complex path) or fix path announced (simple path)
  • User choice confirmed (complex path)
  • Build/CI/deploy validation executed
  • Outcome + touched files reported
  • Flow JSON finalized with completed status (complex path only)

Forbidden:

  • Speculative fix without build/CI/deploy log evidence
  • Immediate implementation without options (complex path)
  • Implementation without explicit user choice (complex path)
  • Completion claim without running the failing build/CI/deploy command
  • Skipping flow JSON updates in complex path

平台分布

Codex

37.7%
按下载量换算43

Claude

31.56%
按下载量换算36

Cursor

17.24%
按下载量换算20

Gemini CLI

8.67%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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