release

A release workflow for changing a software version from a snapshot build to a released version and preparing the next snapshot.

In plain words
What is it for?
Use it when releasing a version such as 1.2.3, creating its Git tag and release branch, and starting the next development version.
Why use it?
It standardizes version changes, commits, tags, branches, and rollback steps so releases follow the same sequence.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/modelengine-group/fit-framework/release
Any agent
npx skills add ModelEngine-Group/fit-framework --skill release
Clone the repo
git clone --depth 1 https://github.com/ModelEngine-Group/fit-framework

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 427 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00057 $0.00427
Opus 5 $0.00028 $0.00214
Sonnet 5 $0.00011 $0.00085
Haiku 4.5 $0.00006 $0.00043

Measured 2d ago against content hash c2a96680cf97, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

release 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 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.

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/release/SKILL.md · 42 lines

What it actually says

版本发布

执行标准化的版本发布流程。不含构建验证,不含自动推送。

参数

  • <version>: 发布版本号,格式为 X.Y.Z(必需)

执行步骤

  1. 解析并验证参数: 版本号必须匹配 X.Y.Z 格式,确认 SNAPSHOT 存在。

  2. 确认工作区状态: 工作区必须干净(无未提交更改)。

  3. 全局替换 SNAPSHOT -> Release: 将 X.Y.Z-SNAPSHOT 替换为 X.Y.Z。 排除目录: .agents/, .ai-workspace/, .claude/, .codex/, .gemini/, .opencode/

  4. 创建 Release commit: git add -A && git commit -m "Release X.Y.Z"

  5. 创建轻量标签: git tag vX.Y.Z

  6. 创建发布分支: git branch release-X.Y.Z

  7. 回退当前分支: git reset --hard HEAD~1

  8. 替换为下一 SNAPSHOT: X.Y.Z-SNAPSHOT -> X.Y.(Z+1)-SNAPSHOT

  9. 创建 SNAPSHOT commit: git add -A && git commit -m "Prepare the next SNAPSHOT version"

  10. 输出总结: 包含发布信息和后续手动操作指引。

注意事项

  • 工作区必须干净
  • 不会自动推送,所有操作仅在本地
  • 建议发布前已完成 mvn clean install 验证
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 First seen · 42 lines · 57 tokens per session scan A c2a96680cf97

Subscribe to this mod's changes

release is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 427 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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