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.
npx agentmods add skills/fitlab-ai/agent-infra/create-release-notenpx skills add fitlab-ai/agent-infra --skill create-release-notegit clone --depth 1 https://github.com/fitlab-ai/agent-infraWrote 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.
[](https://agentmods.dev/skills/fitlab-ai/agent-infra/create-release-note)<a href="https://agentmods.dev/skills/fitlab-ai/agent-infra/create-release-note"><img src="https://agentmods.dev/badge/skills/fitlab-ai/agent-infra/create-release-note.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.01974 |
| Opus 5 | $0.00015 | $0.00987 |
| Sonnet 5 | $0.00006 | $0.00395 |
| Haiku 4.5 | $0.00003 | $0.00197 |
Grade A, and why
create-release-note 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
创建发布说明
基于已合并的 PR 和提交,为指定版本生成全面的发布说明。
执行流程
1. 解析参数
从参数中提取:
<version>:当前发布版本(必需),格式X.Y.Z<prev-version>:上一版本(可选),如未提供则自动检测
2. 确定版本范围
当前标签:v<version>
上一标签(如未指定):
git tag --sort=-v:refname
查找 v<version> 之前最近的标签。
验证标签存在:
git rev-parse v<version>
git rev-parse v<prev-version>
3. 参考历史发布说明格式与分类
读取一次 typed 发布说明上下文,并参考预定义的完整分类清单:
执行前先读取 .agents/rules/release-commands.md。
agent-infra-internal platform-release-notes context \
--from-tag "v<prev-version>" --to-tag "v<version>" \
--branch "<base-branch>" --history-limit 3
Part B:完整分类清单
🆕 Feature✨ Enhancement✅ Bugfix📚 Documentation
用途:
- Part A:分析最近 3 条历史发布说明的章节结构、标题风格、emoji 使用、条目格式
- Part B:提供静态完整分类清单,确保后续生成时不遗漏已有分类
- 该静态清单用于确保变更分类时不遗漏已有类别名称;若当前版本无该类变更,仍按步骤 7 的格式规则省略空分类
- 后续步骤 7 生成发布说明时,必须同时参考步骤 3 的历史格式风格和完整分类清单,保持版本间的一致性
- 如果没有历史发布说明,则使用步骤 7 中定义的默认格式
4. 收集已合并的 PR 与贡献者
使用步骤 3 返回的 pullRequests 与 commits。每个 commit 的 authors 已按平台事实规范化并包含 git author 与 co-author;技能不读取平台原始字段或邮箱规则。
5. 收集关联 Issue
使用步骤 3 中每个 PR 的 closingIssues,不在通用技能中解析平台专有引用语法。
6. 分类变更
按类型(从 PR 标题的 Conventional Commit 前缀):
feat、perf、refactor、依赖升级 -> Enhancementfix-> Bugfixdocs-> Documentation(如少于 3 项则合并到 Enhancement)
按模块(从 PR 标题 scope、标签或文件路径):
- 从 PR 标题中的方括号
[module]或 Conventional scopefeat(module):推断模块 - 兜底:分析变更的文件
7. 生成发布说明
优先使用步骤 3 中获取的历史格式风格,并确保覆盖步骤 3 列出的所有分类。 如果存在历史发布说明,严格沿用其章节结构、标题风格(含 emoji)、条目格式和双语布局。
如果没有历史发布说明,使用以下默认格式化为 Markdown:
## {模块/平台名称}
### Enhancement
- [{scope}] Description by @author in [#N](url)
### Bugfix
- [{scope}] Description by @author in [#N](url)
## Contributors
@contributor1, @contributor2, @contributor3, @reporter1 (reported #N)
格式规则:
- 条目格式:
- [scope] Description by @author in [#N](url) - Issue + PR:
in [#Issue](url) and [#PR](url) - 描述:使用 PR 标题,移除
type(scope):前缀,首字母大写 - 贡献者搜集:
- 数据源:
- PR author:来自
.agents/rules/release-commands.md中已合并 PR 查询规则 - Commit co-authors:来自步骤 3 typed context 的 commit
authors - Issue reporters:来自步骤 3 typed context 的
closingIssues[].author
- PR author:来自
- 贡献数定义:
该人的 PR 数 + 该人作为 co-author 的 commit 数(同一身份跨来源合并计数) @login映射:遵循.agents/rules/release-commands.md的身份安全边界resolution为platform-user或platform-noreply且login非空时,采用小写loginresolution为unresolved时从贡献者列表中排除;不得从 Name、邮箱、域名、品牌或同名平台账号推断 login- 同一 typed login 的所有 Name 变体必须归并后再计数与排序
- Bot 身份保留原样(如
dependabot[bot]) - 不得在可发布 notes 中加入未解析身份的邮箱、占位 mention 或身份确认 TODO
- 排序:按贡献数降序;贡献数相同时按 login 字典序
- 去重:以最终映射后的
@login为键 - Issue reporter 规则:
- 从步骤 5 收集到的每个关联 Issue 中提取
author.login - 如果该 login 已存在于 PR author 或 co-author 的最终映射列表中,跳过(代码贡献已包含该用户)
- 仅报告贡献的用户以
@login (reported #N)格式展示;同一 reporter 报告多个 Issue 时使用@login (reported #N1, #N2) - Reporter 在 Contributors 段落中排在代码贡献者之后,以逗号分隔追加
- Reporter 之间按报告的 Issue 数量降序排列,数量相同时按 login 字典序
- 从步骤 5 收集到的每个关联 Issue 中提取
- 数据源:
- 空部分:省略没有条目的部分
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.
- 6d ago First seen · 185 lines · 31 tokens per session scan A cc859469c87c
create-release-note is a skill published in the GitHub repository fitlab-ai/agent-infra (83 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,974 once invoked, about $0.0002 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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