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Cocreator Content Research

作者 Miracle Ayodele · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ⚠ suspicious
497
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在 OpenClaw 中安装
/install cocreator-content-research
功能描述
Pure intelligence gathering for social media platforms (TikTok & Instagram). Use when an agent needs to discover trending hooks, analyze a competitor's strat...
使用说明 (SKILL.md)

Content Research Skill

This skill provides agents with the ability to gather raw intelligence on social media performance (TikTok and Instagram) using the ScrapeCreators API. It does not generate content or interact with posting APIs.

Prerequisites

  • uv installed
  • SCRAPE_CREATORS_API_KEY set in the environment

Capabilities

1. Broad Content Discovery (Keywords & Hashtags)

Use this to find top-performing content. Agent Instructions for Keyword Search:

  • DO NOT use the same hardcoded keyword (like "affirmations") every time.
  • ALWAYS brainstorm 3-5 diverse keywords based on the user's app (e.g., if it's an affirmation app, try searching "mindset shift", "daily routine", "self healing", "morning motivation").
  • Use time frames (--date-posted) to find recent trends, and test different sorting methods.
  • Use the --format filter (video, slideshow, or both) if the user specifically requests only one type of content.
  • CRITICAL: The script returns an is_slideshow boolean and a video_url. Use this to distinguish between video trends and slideshow trends.
uv run {baseDir}/scripts/keyword-search.py --platform tiktok --type keyword --query "morning routine" --date-posted this-month --sort-by most-liked --format slideshow
uv run {baseDir}/scripts/keyword-search.py --platform instagram --type keyword --query "morning routine" --format video

2. Competitor Hook Research

Use this to analyze specific competitor handles. Agent Instructions for Competitor Research:

  • ALWAYS ask the user if they have specific competitors or creator profiles they want you to check before you assume.
  • If they don't know, brainstorm potential top creators in their niche using the keyword search first, extract their handles, and then run competitor research on them.
uv run {baseDir}/scripts/competitor-research.py --platform tiktok --handles user1 user2 user3
uv run {baseDir}/scripts/competitor-research.py --platform instagram --handles user1 user2

3. Profile Lookup

Use this to get raw metric data (followers, following, bio) for a specific creator.

uv run {baseDir}/scripts/profile-lookup.py --platform tiktok --handle \x3Chandle>
uv run {baseDir}/scripts/profile-lookup.py --platform instagram --handle \x3Chandle>
安全使用建议
The skill mostly does what it says: three Python scripts call the ScrapeCreators API using SCRAPE_CREATORS_API_KEY. Before installing or running it, verify you trust the ScrapeCreators service and the skill author. Specifically: (1) avoid running the suggested curl | sh installer unless you trust https://astral.sh — prefer installing 'uv' from a vetted package source or invoke the Python scripts directly; (2) limit the SCRAPE_CREATORS_API_KEY scope and rotate it after testing; (3) run the skill in a sandbox or isolated environment first to observe network traffic and behavior; (4) confirm any costs or rate limits for the ScrapeCreators API and ensure handling of any scraped PII complies with your policies. If you want a lower-risk option, run the included Python scripts directly with Python (they already use requests) and do not execute the remote installer.
功能分析
Type: OpenClaw Skill Name: cocreator-content-research Version: 1.0.2 The skill bundle is designed for social media intelligence gathering on TikTok and Instagram using the ScrapeCreators API. The Python scripts (competitor-research.py, keyword-search.py, and profile-lookup.py) perform legitimate GET requests to api.scrapecreators.com and process the resulting JSON data as described. No evidence of data exfiltration, credential theft, or malicious prompt injection was found. The installation step in SKILL.md uses a standard, albeit common security anti-pattern (curl | sh), to install the 'uv' package manager from a legitimate source (astral.sh).
能力评估
Purpose & Capability
Name/description, required env var (SCRAPE_CREATORS_API_KEY), and the three Python scripts all point to social-media research via the ScrapeCreators API; network calls target api.scrapecreators.com endpoints as expected.
Instruction Scope
SKILL.md instructs the agent to run the included scripts (keyword search, competitor research, profile lookup) and to brainstorm queries; it does not instruct reading unrelated local files or exfiltrating environment data beyond the declared API key.
Install Mechanism
The SKILL.md includes an install step that runs a remote shell script (curl -LsSf https://astral.sh/uv/install.sh | sh). Piping an external script to sh is a high-risk install pattern. Also, requiring 'uv' to run simple Python scripts appears disproportionate and unnecessary, increasing attack surface.
Credentials
Only one credential is required (SCRAPE_CREATORS_API_KEY) and it is used consistently by the scripts to authenticate to ScrapeCreators. No unrelated secrets or system credentials are requested.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide configuration changes. It only runs network calls and the provided scripts; the only persistence risk is the optional installer which executes a remote script.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cocreator-content-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cocreator-content-research 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
- Improved agent instructions for keyword searches to encourage brainstorming diverse, relevant keywords and using filters for content type and recency. - Added guidance on interpreting the is_slideshow field and video_url for better trend identification. - Updated competitor research instructions to prompt users for specific competitors or, if none are provided, to find top creators via keyword search. - Expanded usage examples to reflect new instructions and filters.
v1.0.1
- Updated the installation instructions for the required "uv" tool to use a cross-platform bash script instead of Homebrew. - No changes to features or usage.
v1.0.0
- Initial release of the cocreator-content-research skill, focused on pure intelligence gathering for TikTok and Instagram. - Enables discovery of trending hooks, competitor analysis, and creator profile lookups using ScrapeCreators API. - Does not generate or post content; strictly gathers and returns social media data for analysis. - Requires installation of uv and setting the SCRAPE_CREATORS_API_KEY environment variable.
元数据
Slug cocreator-content-research
版本 1.0.2
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Cocreator Content Research 是什么?

Pure intelligence gathering for social media platforms (TikTok & Instagram). Use when an agent needs to discover trending hooks, analyze a competitor's strat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 497 次。

如何安装 Cocreator Content Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cocreator-content-research」即可一键安装,无需额外配置。

Cocreator Content Research 是免费的吗?

是的,Cocreator Content Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Cocreator Content Research 支持哪些平台?

Cocreator Content Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Cocreator Content Research?

由 Miracle Ayodele(@iammiracle)开发并维护,当前版本 v1.0.2。

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