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 lindixu6-hash/ai-content-workflow-skills --skill content-os-pipelinegit clone --depth 1 https://github.com/lindixu6-hash/ai-content-workflow-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/lindixu6-hash/ai-content-workflow-skills/content-os-pipeline)<a href="https://agentmods.dev/skills/lindixu6-hash/ai-content-workflow-skills/content-os-pipeline"><img src="https://agentmods.dev/badge/skills/lindixu6-hash/ai-content-workflow-skills/content-os-pipeline/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/lindixu6-hash/ai-content-workflow-skills/content-os-pipeline"><img src="https://agentmods.dev/badge/skills/lindixu6-hash/ai-content-workflow-skills/content-os-pipeline.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 | $0.00049 | $0.00839 |
| Opus 5.5 | $0.00020 | $0.00336 |
| Sonnet 5.5 | $0.00010 | $0.00168 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade A, and why
content-os-pipeline 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 2mo 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
Content OS Pipeline
这是仓库的总控 Skill。固定流程只有四段：
播种（输入） → 发芽 → 成长（给初稿） → 修剪（dbs-content）
路由
| 阶段 | 执行器 | 用户可见输出 | 人工门 |
|---|---|---|---|
| 播种 | xhs-post-writer |
选题、人群、变化、冲突 | 用户确认输入 |
| 发芽 | xhs-post-writer |
四张机制不同的芽 | 用户选择芽 |
| 成长 | xhs-post-writer，小红书时内部调用 xiaohongshu-viral-director |
完整初稿 V1 | 用户确认初稿 |
| 修剪 | 外部 dbs-content |
内容创作诊断报告 | 用户决定是否采用 |
状态机
一次只允许一个阶段处于进行中。
seeded = false
sprouts_selected = false
draft_generated = false
trim_completed = false
合法迁移：
输入选题
-> seeded
用户说“发芽”
-> 展示四张芽
用户选择芽并说“成长”
-> 补足真实经历并输出完整初稿 V1
用户说“修剪”
-> 调用 dbs-content 诊断
禁止：
- 播种后直接生成初稿。
- AI 替用户选择芽。
- 把真实经历拆成第五个页面节点。
- 把标题选择或编导报告拆成额外可见节点。
- 初稿未展示就进入修剪。
- 修剪阶段自动重写全文。
阶段一至三
完整读取并执行：
../xhs-post-writer/SKILL.md
小红书成长阶段由写作 Skill 内部读取：
../xiaohongshu-viral-director/SKILL.md
阶段四｜修剪
修剪只在用户看过完整初稿，并明确说“修剪、诊断、用 dbs-content 看看”后触发。
调用外部 dbs-content：
- 将原始选题、目标平台和最新完整初稿一起交给
dbs-content。 - 要求它按文字洁癖、封面/标题、表达效率、认知落差、AI辅助五维诊断。
- 它只诊断，不代写，不自动修改文件。
- 输出推荐形式、推荐平台、五维判断、第一步动作和一句话总结。
- 等用户明确选择建议后，才由
xhs-post-writer生成 V2。
如果当前环境没有安装 dbs-content，停止修剪并提示：
npx -y skills add dontbesilent2025/dbskill -g --all
不要假装已经调用。
修剪输入
选题：
平台：
所选芽：
真实经历：
最新初稿：
用户特别关注的问题：
修剪输出
遵循 dbs-content 自己的固定报告结构。报告之后只问：
哪些诊断需要采用？你确认后我再生成 V2。
保存规则
- 所有阶段先在对话中展示。
- 用户明确说“保存、采用、写入”后才能修改文件。
- 默认只保存用户确认的稿件，不把诊断报告混入正文。
- 不保存用户隐私、账号、公司内部材料或未脱敏证据到公共仓库。
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.
- 2mo ago First seen · 107 lines · 49 tokens per session scan A f3ef02b90fec
content-os-pipeline is a skill published in the GitHub repository lindixu6-hash/ai-content-workflow-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 839 once invoked, about $0.0002 per session on Opus 5.5. 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.
content-os-pipeline compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-os-pipelinelindixu6-hash/ai-content-workflow-skills | Skill | 5 | 2mo ago | MIT | A | 49 | Claude Code, Codex |
| cosyvoice-ssmlJamailar/Beav | Skill | 2.3k | yesterday | none | A | 0 | Claude Code, Codex |
| video-directorJamailar/Beav | Skill | 2.3k | yesterday | none | A | 154 | Claude Code, Codex |
| xhs-titleJamailar/Beav | Skill | 2.3k | yesterday | none | A | 105 | Claude Code, Codex |
| image-directorJamailar/Beav | Skill | 2.3k | yesterday | none | A | 0 | Claude Code, Codex |
| redclaw-style-definitionJamailar/Beav | Skill | 2.3k | yesterday | none | A | 46 | Claude Code, Codex |
| skill-creatorJamailar/Beav | Skill | 2.3k | yesterday | none | A | 46 | Codex |