Ling: Skill for Claude Code

.agents/skills/deployment-procedures/SKILL.md

deployment-procedures is a skill for Claude Code from MisonL/Ling. It costs 36 tokens per session (1,767 once invoked), scanned A, original, MIT.

A deployment guide for releasing software to production, the live environment users access. It explains how to choose a platform and check the release before, during, and after deployment.

In plain words
What is it for?
Choosing between services such as Vercel, Railway, a virtual private server, Docker, or Kubernetes; checking code, builds, environment variables, security, and monitoring; and following a prepare, backup, deploy, verify, and rollback workflow.
Why use it?
It replaces guesswork and copied scripts with decisions based on the type of application and hosting platform. It also helps catch missing settings, backups, or rollback plans before a release.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is MisonL/Ling's own configuration. It tells Claude Code how to work on Ling itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Ling configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/deployment-procedures/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/MisonL/Ling

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deployment-procedures

README.md
[![agentmods](https://agentmods.dev/badge/skills/misonl/ling/deployment-procedures/github.svg)](https://agentmods.dev/skills/misonl/ling/deployment-procedures)
Your own site
<a href="https://agentmods.dev/skills/misonl/ling/deployment-procedures"><img src="https://agentmods.dev/badge/skills/misonl/ling/deployment-procedures/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deployment-procedures

Your own site · 80×15
<a href="https://agentmods.dev/skills/misonl/ling/deployment-procedures"><img src="https://agentmods.dev/badge/skills/misonl/ling/deployment-procedures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,767 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.01767
Opus 5.5 $0.00014 $0.00707
Sonnet 5.5 $0.00007 $0.00353
Haiku 4.5 $0.00004 $0.00177

Measured 1mo ago against content hash 815ff4e79f5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deployment-procedures scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/deployment-procedures/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

部署规程

生产环境发布的部署原则与决策逻辑。 学习如何思考(THINK),而非死记硬背脚本。


[WARN] 如何使用此技能

此技能传授的是部署原则,不是可盲目复制的脚本。

  • 每次部署都有差异
  • 理解每一步背后的原因
  • 根据平台实际情况调整流程

1. 平台选择

决策树

What are you deploying?
|
+-- Static site / JAMstack
|   +-- Vercel, Netlify, Cloudflare Pages
|
+-- Simple web app
|   +-- Managed -> Railway, Render, Fly.io
|   +-- Control -> VPS + PM2/Docker
|
+-- Microservices
|   +-- Container orchestration
|
+-- Serverless
    +-- Edge functions, Lambda

不同平台有不同规程

平台 部署方式
Vercel/Netlify Git push(代码推送)自动部署
Railway/Render Git push 或 CLI
VPS + PM2 SSH + 手动步骤
Docker 镜像推送 + 编排
Kubernetes kubectl apply

2. 部署前原则

四大验证类别

类别 检查项
代码质量 测试通过、Lint 清理完成、已评审
构建(Build) 生产构建成功、无告警
环境 环境变量已设置、凭据已更新
安全性 已备份、回滚方案就绪

部署前检查清单

  • 所有测试通过
  • 代码已评审并批准
  • 生产构建成功
  • 环境变量已核验
  • 数据库迁移已就绪(如有)
  • 回滚方案已记录
  • 已通知团队
  • 监控已就绪

3. 部署工作流原则

5 阶段流程

1. PREPARE
   +-- Verify code, build, env vars

2. BACKUP
   +-- Save current state before changing

3. DEPLOY
   +-- Execute with monitoring open

4. VERIFY
   +-- Health check, logs, key flows

5. CONFIRM or ROLLBACK
   +-- All good? Confirm. Issues? Rollback.

阶段原则

阶段 原则
准备 绝不部署未经测试的代码
备份 没有备份就无法回滚
部署 观察过程,不要中途走开
验证 宁可怀疑,务必验证
确认 随时准备触发回滚

4. 部署后验证

验证内容

检查项 为什么要查
健康端点(Health) 确认服务正常运行
错误日志 确认无新增错误
核心业务流 确保关键功能正常
性能 响应时间可接受

验证时间窗口

  • 首个 5 分钟:主动监控
  • 15 分钟:确认稳定
  • 1 小时:最终验证
  • 次日:复审指标

5. 回滚原则

何时回滚

现象 行动建议
服务宕机 立即回滚
严重错误 回滚
性能下降超过 50% 考虑回滚
细微问题 可快速修复则向前修复

不同平台的回滚策略

平台 回滚方式
Vercel/Netlify 重新部署之前的提交
Railway/Render 控制面板回滚
VPS + PM2 还原备份并重启
Docker 使用之前的镜像标签
K8s kubectl rollout undo

Read the full file on GitHub · 242 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 242 lines · 36 tokens per session scan A 815ff4e79f5e

Subscribe to this mod's changes

deployment-procedures is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 1,767 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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