Borrowing it
Nothing to install: this file belongs to claude-world/claude-world-studio. 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/claude-world/claude-world-studio/main/.claude/skills/content-pipeline/SKILL.mdgit clone --depth 1 https://github.com/claude-world/claude-world-studioWrote 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/claude-world/claude-world-studio/content-pipeline)<a href="https://agentmods.dev/skills/claude-world/claude-world-studio/content-pipeline"><img src="https://agentmods.dev/badge/skills/claude-world/claude-world-studio/content-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/claude-world/claude-world-studio/content-pipeline"><img src="https://agentmods.dev/badge/skills/claude-world/claude-world-studio/content-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 17 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 18 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00091 | $0.02497 |
| Opus 5.5 | $0.00036 | $0.00999 |
| Sonnet 5.5 | $0.00018 | $0.00499 |
| Haiku 4.5 | $0.00009 | $0.00250 |
Grade A, and why
content-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 5d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Pipeline
AI-powered content pipeline: trend discovery -> deep research -> algorithm-optimized writing -> social publishing.
MCP Servers Required
Install via uvx (one-time, auto-cached):
uvx --from 'trend-pulse[mcp]' trend-pulse-server
uvx --from cf-browser-mcp cf-browser-mcp
uvx --from notebooklm-skill notebooklm-mcp
MCP Tools Reference
trend-pulse (12 tools)
Trend Data:
- get_trending(sources, geo, count): Query ALL 20 free sources. sources="" for all. geo: "TW"/"US"/"JP"/"". count: 20.
- Sources: google_trends, hackernews, mastodon, bluesky, wikipedia, github, pypi, google_news, lobsters, devto, npm, reddit, coingecko, dockerhub, stackoverflow, producthunt, arxiv, lemmy, dcard, ptt
- search_trends(query, sources, geo): Cross-source keyword search.
- list_sources(): List all sources.
- take_snapshot(sources, geo, count): Save snapshot for velocity tracking.
- get_trend_history(keyword, days, source): Historical data with direction.
Content Guide:
- get_content_brief(topic): Writing brief with hook examples, patent strategies, CTA.
- get_scoring_guide(): 5-dimension patent scoring. Score >= 70 required.
- get_platform_specs(platform): Platform specs (char limits, algorithm signals, posting times).
- get_review_checklist(): Quality review checklist (7 checks).
- get_reel_guide(): Reels script guide (3 styles).
Search:
- search_threads_posts(query): Search Threads posts by heat score.
cf-browser (10 tools)
Headless Chrome via Cloudflare Browser Rendering. Use instead of WebFetch for JS-rendered pages.
- browser_markdown(url): Clean Markdown. Most used for deep research.
- browser_content(url): Full rendered HTML.
- browser_screenshot(url): Full page screenshot (PNG).
- browser_pdf(url): Generate PDF.
- browser_scrape(url, selector): CSS selector extraction.
- browser_json(url, schema): AI-driven structured data extraction.
- browser_links(url): Extract all hyperlinks.
- browser_a11y(url): Accessibility tree (low token cost).
- browser_crawl(url): Async multi-page crawl.
- browser_crawl_status(id): Check crawl progress.
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.
- 5d ago Changed 65930bfaaff5
- 1mo ago First seen · 211 lines · 91 tokens per session scan A a41e75fb77db
content-pipeline is a skill published in the GitHub repository claude-world/claude-world-studio (71 stars, last pushed 5d ago), licensed MIT. It adds 91 tokens to every session and 2,497 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
notebooklm-research
Automate source-grounded research with Google NotebookLM. Create notebooks from URLs, text, or local files; ask cited questions; run fast or deep web research; create articles and social drafts; and generate or download audio, video, cinematic video, slides, reports, study guides, quizzes, flashcards, mind maps…
notebooklm
Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API.…
surfsense-documents
Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
surfsense-html
Make or change a web page from the user's sources - a report, a briefing, a dashboard, a comparison, a timeline, an explainer, an interactive calculator or a figure that shows how something works - by writing an HTML file and keeping it with surfsensesavepage. Load it whenever the user asks for a web page, an HTML…
surfsense-data
Work out numbers from spreadsheet and CSV sources (.xlsx, .csv, .tsv) by writing a pandas script that surfsenseanalyzedata runs: totals, averages, trends, rankings, comparisons, cleaning, and charts that can go into a document. Load it whenever the user asks for figures from a table, or a chart of one.
surfsense-pdf
Work on PDFs the user has, or PDFs in Studio, without changing them - merge, take out, split, turn or reorder pages, add a watermark, page numbers, a header or a footer, and list or fill a form's fields. Load it whenever the user asks for one of these on a PDF.