happy-next: Skill for Claude Code

.claude/skills/happy-next-release/SKILL.md

happy-next-release is a skill for Claude Code from hitosea/happy-next. It costs 58 tokens per session (5,140 once invoked), scanned A, original, MIT.

A command-line release process for the Happy Next project, covering CLI releases, GitHub Releases, Docker, iOS App Store submissions, or all release tracks. It uses separate CLI versioning and shared tagged source versions for the other tracks.

In plain words
What is it for?
Use it to inspect changes, choose a release path, prepare versioned builds, create GitHub Releases or Docker releases, and submit the existing IPA to the iOS App Store.
Why use it?
It reduces release mistakes by checking the branch, workspace, and remote state and by requiring confirmation before actions such as tagging, publishing, or submitting an app.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: reads .claude/ paths; mentions Codex; mentions Gemini CLI.

This is hitosea/happy-next's own configuration. It tells Claude Code how to work on happy-next 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 happy-next configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is cd ../happy-cli && yarn typecheck.

Reuse

Borrowing it

Nothing to install: this file belongs to hitosea/happy-next. 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/hitosea/happy-next/main/.claude/skills/happy-next-release/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hitosea/happy-next

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 happy-next-release

README.md
[![agentmods](https://agentmods.dev/badge/skills/hitosea/happy-next/happy-next-release/github.svg)](https://agentmods.dev/skills/hitosea/happy-next/happy-next-release)
Your own site
<a href="https://agentmods.dev/skills/hitosea/happy-next/happy-next-release"><img src="https://agentmods.dev/badge/skills/hitosea/happy-next/happy-next-release/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 happy-next-release

Your own site · 80×15
<a href="https://agentmods.dev/skills/hitosea/happy-next/happy-next-release"><img src="https://agentmods.dev/badge/skills/hitosea/happy-next/happy-next-release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,140 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 226
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00058 $0.05140
Opus 5.5 $0.00023 $0.02056
Sonnet 5.5 $0.00012 $0.01028
Haiku 4.5 $0.00006 $0.00514

Measured 2d ago against content hash 5dbff616f235, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

happy-next-release scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://hub.docker.com/v2/repositories/kuaifan/$img/tags?page_size=4&ordering=last_updated"
.claude/skills/happy-next-release/SKILL.md · 437 lines

How it starts

The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Happy Next 发布流程

总则

流程分四段:自动检查 → 确认发布计划 → 执行 → 失败处理。

  • 根据审计结果推荐发布线组合,写进发布计划。
  • 用户在调用时用自然语言说明了要发什么(如"只发 Docker"、"这次不发 CLI"、"把 v2.15.1 提交到 App Store"),按用户的意思确定发布线,其余流程相同;意思不明确时在发布计划里写出你的理解。
  • 只确认一次:发布计划。用户确认(或修改后确认)即授权执行计划内的全部操作,包括推送 main、合并 PR、npm 发布、创建 tag、GitHub Release、Docker、iOS 提审和 OTA 发布。确认后直接执行,直到完成或遇到停止条件。
  • 计划外的操作(计划外的改动、覆盖、重建、删除)需单独确认。

五条发布线:

线 产物 版本 workflow
CLI npm happy-next-cli packages/happy-cli/package.json 独立版本,由 workflow 提交 cli-publish.yml
Release Android APK/AAB、iOS IPA、macOS Universal、Windows x64/ARM64、latest.json vX.Y.Z tag release.yml
Docker kuaifan/happy-{server,app,voice,docs,web} 同一 vX.Y.Z tag docker-publish.yml
iOS App Store Connect 上传 同一 vX.Y.Z tag,提交 Release 里那份 IPA ios-submit.yml
OTA App 的 JS 更新,发给已安装、fingerprint 相同的包 无版本号,按 runtime(原生 fingerprint)匹配 无,本地 yarn ota publish(见 happy-ota 技能(读 .claude/skills/happy-ota/SKILL.md))
  • Release、Docker、iOS 同一次发布共用同一个不可变 tag 和 commit。
  • iOS 只提交 Release 已发布的 IPA,必须在 Release 验证通过之后。
  • 推送 tag 不会发布任何东西;每条线都要显式触发 workflow。
  • OTA 不需要 tag,也不经过商店审核,发布后用户的 App 会自动下载,所以 App 的改动能比 Release / iOS 早几天到达用户手里。

每条线的基准

每条线以自己上一次成功发布的版本为基准审计改动:

# CLI:最近一个 CLI 版本提交
BASE_CLI=$(git log --format=%h --grep='^release: happy-next-cli' -1)

# Release:最近一个正式 GitHub Release 的 tag
BASE_APP=$(gh release list --limit 50 --exclude-drafts --exclude-pre-releases \
  --json tagName -q '.[].tagName' | grep '^v[0-9]' | sort -V | tail -1)

# Docker:最近一次成功的 Docker workflow(run-name 为 "Docker vX.Y.Z")
BASE_DOCKER=$(gh run list --workflow=docker-publish.yml --status success --limit 50 \
  --json displayTitle -q '.[].displayTitle' | sed -n 's/^Docker //p' | sort -V | tail -1)

# iOS:最近一次成功的提审(run-name 为 "iOS App Store vX.Y.Z")
BASE_IOS=$(gh run list --workflow=ios-submit.yml --status success --limit 50 \
  --json displayTitle -q '.[].displayTitle' | sed -n 's/^iOS App Store //p' | sort -V | tail -1)

# 全局最高的 v tag
TOP_TAG=$(git tag --sort=-version:refname | grep '^v[0-9]' | head -1)

Read the full file on GitHub · 437 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. 2d ago Changed · +14 lines · +5 tokens per session 5dbff616f235
  2. 18d ago Changed · -49 lines · +14 tokens per session fd0609477062
  3. 27d ago Changed 479600cc83dc
  4. 28d ago Changed · +15 lines 57d540461eaf
  5. 1mo ago Changed · +9 lines ded30b3056e0
  6. 1mo ago First seen · 448 lines · 39 tokens per session scan A 5e719b1207e6

Subscribe to this mod's changes

happy-next-release is a skill published in the GitHub repository hitosea/happy-next (61 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 5,140 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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