claude-world-studio: Skill for Claude Code

.claude/skills/threads-viral-agent/SKILL.md

threads-viral-agent is a skill for Claude Code from claude-world/claude-world-studio. It costs 159 tokens per session (9,512 once invoked), scanned A, original, MIT.

An automated content agent for finding trends and creating and publishing text, images, and videos on Threads, Instagram, and Facebook, which are Meta-owned social platforms.

In plain words
What is it for?
Use it to research current topics and prepare or publish social posts for the configured Meta accounts.
Why use it?
It brings trend discovery, source checking, platform-specific adaptation, quality review, and publishing into one workflow.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

This is claude-world/claude-world-studio's own configuration. It tells Claude Code how to work on claude-world-studio itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-world-studio configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/threads_api.py publish --account cw --text "content".

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/claude-world/claude-world-studio/main/.claude/skills/threads-viral-agent/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/claude-world/claude-world-studio

Made for: Claude Code.

Wrote 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.

agentmods badge for threads-viral-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/claude-world/claude-world-studio/threads-viral-agent/github.svg)](https://agentmods.dev/skills/claude-world/claude-world-studio/threads-viral-agent)
Your own site
<a href="https://agentmods.dev/skills/claude-world/claude-world-studio/threads-viral-agent"><img src="https://agentmods.dev/badge/skills/claude-world/claude-world-studio/threads-viral-agent/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.

agentmods 80×15 button for threads-viral-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/claude-world/claude-world-studio/threads-viral-agent"><img src="https://agentmods.dev/badge/skills/claude-world/claude-world-studio/threads-viral-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,512 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

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 →

  • high Privilege Escalation · line 415
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Supply Chain · line 416
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • medium Data Exfiltration · line 416
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 420
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00159 $0.09512
Opus 5.5 $0.00064 $0.03805
Sonnet 5.5 $0.00032 $0.01902
Haiku 4.5 $0.00016 $0.00951

Measured 5d ago against content hash 2e225b278d25, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

threads-viral-agent scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -F "reqtype=fileupload" -F "time=24h" -F "fileToUpload=@/tmp/slide-1.png" \
.claude/skills/threads-viral-agent/SKILL.md · 593 lines

How it starts

The opening of the file, as written. The whole thing — 593 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meta 3-Platform Viral Agent

Autonomous agent: trend discovery → source verification → patent-optimized creation → quality gate → publishing.

Core Principle: MCP provides briefs/frameworks, LLM creates original content, scripts handle publishing.

Accounts & Tokens

Account IDs and tokens live in .env at skill root (auto-loaded by all scripts, no manual export needed). Each account is addressed by a suffix — CW, LF — and the scripts read every value from the environment, never from this file:

Suffix Threads user ID Threads token IG user ID IG token
CW THREADS_USER_CW THREADS_TOKEN_CW IG_USER_CW IG_TOKEN_CW
LF THREADS_USER_LF THREADS_TOKEN_LF IG_USER_LF IG_TOKEN_LF
  • App ID: THREADS_APP_ID
  • Token expiry: 60 days
  • Renew: python3 scripts/threads_oauth.py auth-url → authorize → full --code CODE
  • Select account: --account cw or --account lf

MCP Tools (3 servers, 34 tools)

trend-pulse (11 tools) — 趨勢發現 + 內容優化框架

Tool Purpose When to use
get_trending(sources, geo, count, save) 即時趨勢,20 個免費來源 Step 1: 找主題
search_trends(query, sources, geo) 關鍵字搜尋跨來源 Step 1: 搜特定話題
list_sources() 可用來源及 rate limit 確認哪些來源可用
get_trend_history(keyword, days, source) 歷史趨勢數據 Step 3: 驗證話題熱度變化
take_snapshot(sources, geo, count) 存快照到 DB,追蹤 velocity 定期追蹤趨勢加速度
get_content_brief(topic, content_type, platform, lang) 寫作指南:hook/CTA/策略 Step 4a: 取 brief
get_scoring_guide(lang, topic) 5 維度評分框架 Step 5: 自評分數
get_review_checklist(platform, lang, topic) 審稿清單 Step 5: 品質門檻
get_platform_specs(platform, lang) 平台規格(字數/功能/演算法) Step 4d: 平台適配
get_reel_guide(style, duration, lang, topic) Reel/短影片腳本指南 做 Reel 時
render_page(url, format) CF Browser 渲染頁面(markdown/content/json) Step 2: 讀 JS-heavy 頁面

Read the full file on GitHub · 593 lines

Changes

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.

  1. 5d ago Changed · +2 lines 2e225b278d25
  2. 1mo ago First seen · 591 lines · 159 tokens per session scan A 769b50d2034d

Subscribe to this mod's changes

threads-viral-agent is a skill published in the GitHub repository claude-world/claude-world-studio (71 stars, last pushed 5d ago), licensed MIT. It adds 159 tokens to every session and 9,512 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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…

claude-world/notebooklm-skill · 114 tokens

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.…

teng-lin/notebooklm-py · 79 tokens

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.

MODSetter/SurfSense · 80 tokens

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…

MODSetter/SurfSense · 89 tokens

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.

MODSetter/SurfSense · 0 tokens

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.

MODSetter/SurfSense · 70 tokens