据 AlphaMoat 统计,截至 2026-09,Agent Content Pipeline 累计下载 4,850 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 1,936 位,在「AI 智能体」分类(969 个)中排名第 366 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 151 | 4,520 | 6 | 2 |
| SkillHub ↗ | 657 | 4,850 | 6 | — |
各平台的计数口径不同,统计时间不一致。
内容按草稿、已评审、已修改、已批准、已发布的状态在目录间流转,其中批准这一步只能由人来完成。命令行支持列出、移动、评审与发布到社交平台,发布前可先预览而不真正发出。 agent 本身不能批准或发帖;须由人批准,再通过 CLI 手动发布。发布前先预览,并检查账号凭据及公开内容风险。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,850 | — | 6 |
| 2026-08 | 4,373 | +1.7% | 6 |
| 2026-07 | 4,301 | — | 6 |
| 2026-05 | 4,073 | — | 5 |
| 2026-03 | 3,720 | — | 5 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: agent-content-pipeline description: Safe content workflow (drafts/reviewed/revised/approved/posted) with human-in-the-loop approval, plus CLI to list/move/review and post to LinkedIn/X. Use when setting up a content pipeline, drafting content, managing review threads, or posting approved content. --- # Content Pipeline Skill Safe content automation with human-in-the-loop approval. Draft → Review → Approve → Post. ## Setup
```bash
npm install -g agent-content-pipeline
content init . # Creates folders + global config (in current directory)
```
For cryptographic approval signatures (password-protected):
```bash
content init . --secure
```
This creates:
- `drafts/` — work in progress (one post per file)
- `reviewed/` — human reviewed, awaiting your revision
- `revised/` — you revised, ready for another look
- `approved/` — human-approved, ready to post
- `posted/` — archive after posting
- `templates/` — review and customize before use
- `.content-pipeline/threads/` — feedback thread logs (not posted)
## Your Permissions
✅ **Can do:**
- Write to `drafts/`
- Read all content directories
- Revise drafts based on feedback
- Move revised files to `revised/`
- Run `content list` to see pending content
❌ **Cannot do:**
- Move files to `approved/` (only the human can approve)
- Post content
- Set `status: approved`
## Creating Content
**One post per file.** Each suggestion or draft should be a single post, not a collection.
File naming: `YYYY-MM-DD-<platform>-<slug>.md`
Use frontmatter:
```yaml
---
platform: linkedin # linkedin | x | reddit (experimental)
title: Optional Title
status: draft
subreddit: programming # Required for Reddit
---
Your content here.
```
Tell the human: "Draft ready for review: `content review <filename>`"
## The Review Loop
```
drafts/ → reviewed/ → revised/ → approved/ → posted/
↑ │
└──────────┘
more feedback
```
1. You write draft to `drafts/`
2. Human runs `content review <file>`:
- **With feedback** → file moves to `reviewed/`, you get notified
- **No feedback** → human is asked "Approve?" → moves to `approved/`
3. If feedback: you revise and move to `revised/`
4. Human reviews from `revised/`:
- More feedback → back to `reviewed/`
- Approve → moves to `approved/`
5. Posting happens manually via `content post`
### After Receiving Feedback
When you get review feedback:
1. Read the file from `reviewed/`
2. Apply the feedback
3. Move the file to `revised/`
4. Confirm what you changed
5. (Optional) Add a note: `content thread <file> --from agent`
## Platform Guidelines
### LinkedIn
- Professional but human
- Idiomatic language (Dutch for NL audiences, don't be stiff)
- 1-3 paragraphs ideal
- End with question or CTA
- 3-5 hashtags at end
### X (Twitter)
- 280 chars per tweet (unless paid account)
- Punchy, direct
- 1-2 hashtags max
- Use threads sparingly
- If Firefox auth fails, you can paste `auth_token` and `ct0` manually
Manual cookie steps:
1) Open x.com and log in
2) Open DevTools → Application/Storage → Cookies → https://x.com
3) Copy `auth_token` and `ct0`
### Reddit (experimental)
- Treat as experimental; API and subreddit rules can change
- Requires `subreddit:` in frontmatter
- Title comes from frontmatter `title:` (or first line if missing)
- Match each subreddit's rules and tone
## Commands Reference
```bash
content list # Show drafts and approved
content review <file> # Review: feedback OR approve
content mv <dest> <file> # Move file to drafts/reviewed/revised/approved/posted
content edit <file> # Open in editor ($EDITOR or code)
content post <file> # Post (prompts for confirmation)
content post <file> --dry-run # Preview without posting
content thread <file> # Add a note to the feedback thread
```
## Security Model
The security model separates drafting (AI) from approval/posting (human):
- ✅ Agent drafts content
- ✅ Agent revises based on feedback
- ❌ Agent cannot approve (human approves via `content review`)
- ❌ Agent cannot post
Posting is handled manually via CLI — never by the agent directly.
### Platform-specific security
| Platform | Auth Storage | Encrypted? | Password Required? |
|----------|--------------|------------|-------------------|
| LinkedIn | Browser profile | ✅ Yes | ✅ Yes |
| X/Twitter | Firefox tokens | ✅ Yes | ✅ Yes |
Both platforms require password to post. Tokens are extracted from Firefox and encrypted locally.
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。