Borrowing it
Nothing to install: this file belongs to iBigQiang/feedgrab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/iBigQiang/feedgrab/main/.claude/commands/ship.mdgit clone --depth 1 https://github.com/iBigQiang/feedgrabWrote 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/commands/ibigqiang/feedgrab/ship)<a href="https://agentmods.dev/commands/ibigqiang/feedgrab/ship"><img src="https://agentmods.dev/badge/commands/ibigqiang/feedgrab/ship/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/commands/ibigqiang/feedgrab/ship"><img src="https://agentmods.dev/badge/commands/ibigqiang/feedgrab/ship.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 | $0.00000 | $0.00983 |
| Opus 5.5 | $0.00000 | $0.00393 |
| Sonnet 5.5 | $0.00000 | $0.00197 |
| Haiku 4.5 | $0.00000 | $0.00098 |
Grade A, and why
ship 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.
What it actually says
完成当前功能的收尾工作：优先使用 Git Bash 执行 D:\Git\bin\bash.exe ./scripts/ship.sh 做收尾检查；若 Git Bash 不可用，再回退执行 powershell -NoProfile -ExecutionPolicy Bypass -File .\scripts\ship.ps1。然后更新文档、提交代码、推送到 GitHub。
请按以下步骤执行：
1. 确认当前状态
运行 git status 和 git diff --stat 查看所有变更，确认功能已完成。
2. 更新 DEVLOG.md
在 DEVLOG.md 顶部（第一个 --- 分隔线之前）新增本次版本条目，格式：
## YYYY-MM-DD · vX.Y.Z · 功能标题
### 背景
为什么要做这个功能，解决什么问题。
### 方案决策
选择了什么技术方案，关键设计决策。
### 改动范围
| 文件 | 类型 | 改动 |
|------|------|------|
| `路径` | 新建/修改 | 说明 |
### 验证结果
测试了什么，结果如何。
### 状态：已完成 ✅
3. 更新 CLAUDE.md / AGENTS.md
同步更新 CLAUDE.md 中的项目信息，确保与最新代码一致：
- 当前版本号 — 更新"迭代历史摘要"表格，新增本次版本条目
- 核心架构 — 如有新增/删除文件，更新目录树
- 支持的平台 — 如有新平台或抓取方式变更，更新平台表格
- 关键设计决策 — 如有重要的新设计决策，补充说明
同步更新 AGENTS.md（Codex CLI 使用的项目指令副本）：
- AGENTS.md 与 CLAUDE.md 内容对齐，面向 Codex CLI / 其他非 Claude Code 的 AI 代理
- 更新策略：CLAUDE.md 改什么，AGENTS.md 跟着改什么（版本号、架构图、平台表、关键设计决策保持一致）
- 若 CLAUDE.md 有精简（删掉 DEVLOG 已覆盖的细节），AGENTS.md 同步精简
4. 更新 README.md
将新功能的使用说明同步到 README.md 的对应位置：
- 新命令 → CLI 示例区
- 新配置项 → 配置表格
- 新平台/功能 → 平台支持表格
- 新文件 → 架构图
同时更新 README_en.md（如果存在且内容对应）。
5. 更新 skills/ 技能包
本项目自身 skill 化的 5 个技能包位于 skills/ 目录，需要与最新 CLI 能力保持一致：
| 技能包 | 关注点 | 更新条件 |
|---|---|---|
skills/feedgrab/SKILL.md |
单条 URL 抓取 | 新增平台 / 新命令 / description 里平台清单过期 |
skills/feedgrab-batch/SKILL.md |
批量抓取 | 新增批量命令（x-so / xhs-so / mpweixin-zhuanji 等） |
skills/feedgrab-setup/SKILL.md |
安装配置 | 新增依赖 / 配置项 / 诊断命令 |
skills/analyzer/SKILL.md |
内容分析 | 分析输出模板或 LLM 参数变化时 |
skills/video/SKILL.md |
视频/播客摘要 | 新增播客平台（如 v0.17.0 的小宇宙/喜马拉雅）/ 字幕源 / Whisper 管线 |
同步要点：
- description 字段里的平台/能力清单必须反映实际支持（会被 skill 路由使用）
- Supported Platforms / Commands 表格要加上新平台和新命令
- Examples 章节补充新功能用法
- 本次迭代如果没有新增平台/命令，仍需快速扫一遍确认 description 不过期
6. 提交代码
将所有变更（包括文档更新）一起提交：
- 使用 conventional commit 格式（feat/fix/docs/chore）
- 提交信息用英文前缀 + 英文描述
7. 推送到 GitHub
git push origin main
推送完成后告知用户结果。
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.
- 1mo ago First seen · 88 lines · 0 tokens per session scan A 9c4f473ff798
ship is a command published in the GitHub repository iBigQiang/feedgrab (619 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 983 tokens. 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.
Other commands, from other repositories
commit-push-pr
Commit, push, and open a PR.
changelog-update
Actualiza CHANGELOG.md automáticamente analizando los commits desde la última versión/release. Clasifica los cambios por tipo (feat, fix, docs, etc.) usando los commits convencionales del workspace. Opcionalmente sugiere bump de versión semántica. Delega la redacción final a tech-writer.
changelog
Gera changelogs a partir do histórico git e valida commits convencionais. Uso: /changelog [opções].
commit
Smart conventional commit with security validation, branch flow enforcement, and auto-detection. Use for git commit, commit changes, save work, stage and commit.
commit
Automatically generate commit message based on changes and push to current branch. Analyzes git diff to create meaningful commit following conventional commits format. Optionally creates and pushes a git tag.
flow
Universal workflow entry point. Use /flow for skill-driven GitHub development. Verbs: start, commit, pr, review, address, merge, resolve, release, status, learn, setup, explain, debug, design, brainstorm, issue.