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 skills add CookiesHaha/ash-claude-skills --skill release-announcementgit clone --depth 1 https://github.com/CookiesHaha/ash-claude-skillsWrote 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/cookieshaha/ash-claude-skills/release-announcement)<a href="https://agentmods.dev/skills/cookieshaha/ash-claude-skills/release-announcement"><img src="https://agentmods.dev/badge/skills/cookieshaha/ash-claude-skills/release-announcement/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.
<a href="https://agentmods.dev/skills/cookieshaha/ash-claude-skills/release-announcement"><img src="https://agentmods.dev/badge/skills/cookieshaha/ash-claude-skills/release-announcement.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00075 | $0.03717 |
| Opus 5 | $0.00037 | $0.01858 |
| Sonnet 5 | $0.00015 | $0.00743 |
| Haiku 4.5 | $0.00007 | $0.00372 |
Grade A, and why
release-announcement 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 12d 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 — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.
发版公告自动生成工作流
CRITICAL — 开始前 MUST 用 Read 工具读取以下文件:
../lark-shared/SKILL.md— lark-cli 认证与权限处理
适用场景
- "生成发版公告"
- "从 PRD 生成 release notes"
- "发版简报 / 发版说明"
- "release-announcement {PRD链接} {版本号}"
输入
| 参数 | 示例 | 说明 |
|---|---|---|
| PRD 来源 | 飞书 wiki URL 或 doc_token | PRD 文档地址(必填) |
| 版本号 | v26.4.1.0 |
发版版本号(必填) |
| 发版日期 | 2026年5月13日 |
可选,默认取当天 |
| 产品名 | PST |
可选,默认 PST |
| 产品全称 | 海柔售前工具(PST) |
可选,默认 海柔售前工具(PST) |
输入示例:
/release-announcement
PRD: https://hairobotics.feishu.cn/wiki/G36owOYXNiIDG9k7XlOc6vXlnob
版本号: v26.4.1.0
前置条件
# 飞书云文档(user 身份)— 用于读取 PRD 和创建公告文档
lark-cli auth login --domain docs,drive,wiki
工作流
{PRD 来源, 版本号, [发版日期], [产品名]}
│
▼
Step 0 认证检查 ──► 确认 lark-cli user 身份可用
│
▼
Step 1 获取 PRD 内容
├─ wiki URL → lark-cli wiki +get-node → doc_token
├─ lark-cli docs +fetch --as user --doc-format markdown → PRD 正文
▼
Step 2 分析 PRD ──► 提取更新内容
├─ 识别功能模块(选型/货架/布局/CAD/检测等)
├─ 按模块分组,P0 需求优先
├─ 提取核心价值方向(3个)
▼
Step 3 生成三版公告
├─ 简略版(日期 + 版本号 + 3要点摘要)
├─ 详细中文版(价值总览 + 分模块详述)
├─ 详细英文版(对应英文翻译)
├─ 输出预览,用户确认后进入 Step 4
▼
Step 4 创建飞书文档(×3)
├─ lark-cli docs +create --as user(关键:用户名下)
├─ 记录每个文档的 URL 和 doc_token
▼
Step 5 输出结果 + [HANDOFF] 块
Step 0:认证检查
确认 lark-cli user 身份可用于读写飞书文档:
lark-cli auth status
若未认证或 scope 不足,按 lark-shared/SKILL.md 引导用户完成授权:
lark-cli auth login --domain docs,drive,wiki
Step 1:获取 PRD 内容
1a. 从 wiki URL 解析 doc_token
若用户提供的是飞书 wiki URL(如 https://hairobotics.feishu.cn/wiki/XXXXX):
lark-cli wiki +get-node --as user --node-token {wiki_token}
从返回中提取 obj_token(即 doc_token)。
1b. 拉取 PRD 正文
lark-cli docs +fetch --as user \
--api-version v2 \
--doc "{doc_token}" \
--doc-format markdown
返回 PRD 的 Markdown 全文。若内容过长,重点关注:
- §4 需求详细设计 — 各功能模块的详细描述
- §5 功能清单 — P0 功能条目列表
- §3 整体说明 — 整体变更概要
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 377 lines · 75 tokens per session scan A 7b812b6c7ce0
release-announcement is a skill published in the GitHub repository CookiesHaha/ash-claude-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 3,717 once invoked, about $0.0004 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 2026-08-31.
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pre-publish-review
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git-workflow
Guided git workflows: prepare PRs, clean up branches, resolve merge conflicts, handle monorepo tags, squash-and-merge patterns. Use when asked to prepare a PR, clean branches, resolve conflicts, or tag a release.
github-release
Prepare and publish GitHub releases. Sanitizes code for public release (secrets scan, personal artifacts, LICENSE/README validation), creates version tags, and publishes via gh CLI. Trigger with 'release', 'publish', 'open source', 'prepare for release', 'create release', or 'github release'.