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Install in OpenClaw
/install scry
Description
Research any topic across 26+ sources: Reddit, X, YouTube, GitHub, HN, Bluesky, ArXiv, Dev.to, Polymarket, and more. The most comprehensive research skill av...
Usage Guidance
This skill is a local research aggregator and appears coherent with its description, but it will (1) run the included Python script (scripts/scry.py) which performs many network requests, (2) probe your environment and config files for optional API keys and binaries, and (3) write a cache to ~/.cache/scry and may read ~/.config/scry/.env or ~/.config/last30days/.env. Before installing or running: (A) inspect scripts/scry.py (full contents) to confirm no unexpected output of secrets; (B) avoid storing sensitive credentials in your shell environment or ~/.config/scry/.env if you do not want them used; (C) run the skill in an isolated environment (container or throwaway account) if you need to be conservative. If you want, I can scan scripts/scry.py (the orchestrator) for any places that might print or transmit environment values or other surprises — provide the file and I'll review it line-by-line.
Capability Analysis
Type: OpenClaw Skill
Name: scry
Version: 0.1.0
The 'scry' skill is a comprehensive research tool that aggregates data from over 26 sources. However, it includes a high-risk capability within the vendored 'bird-search' component (specifically in `vendor/bird-search/lib/cookies.js`), which contains logic to automatically extract authentication cookies (`auth_token` and `ct0`) from local browser databases (Safari, Chrome, and Firefox). While the documentation in `README.md` and `SKILL.md` acknowledges the use of browser cookies for X (Twitter) searches, the automated harvesting of sensitive browser credentials represents a significant security and privacy risk. The rest of the codebase, including the Python orchestrator (`scry.py`) and various source modules, appears functional and aligned with the stated purpose.
Capability Assessment
Purpose & Capability
The name/description (multi-source research) align with the included modules and SKILL.md. The repository contains source modules for the many sites listed (GitHub, Reddit, X, YouTube, ArXiv, SEC EDGAR, etc.), scoring/deduplication pipelines, and a CLI orchestrator. The requested binaries/tokens are optional and match optional sources (yt-dlp for YouTube, X/Twitter cookies/tokens for X, SCRAPECREATORS_API_KEY for TikTok/Instagram, HF_TOKEN for HuggingFace, etc.).
Instruction Scope
The runtime instructions explicitly tell the agent to locate and execute scripts/scry.py (foreground, 5-minute timeout) and to read the entire output. The SKILL.md also instructs the agent to "discover available API keys and binaries." The code supports that: env.py reads ~/.config/scry/.env and environment variables and probes for binaries. This is coherent with enabling optional source access, but it does mean the script will enumerate local config and env keys when run.
Install Mechanism
No install spec is provided (no external downloads or installers). The skill is shipped with Python code (and vendored JavaScript for the X client). Running it executes the included scripts; nothing in the package attempts to fetch arbitrary install artifacts at runtime. This is the lower-risk pattern for skill distribution, but note that executing the bundled code runs network calls.
Credentials
The skill does not declare required env vars in the registry metadata, but its code reads a broad set of environment variables and config files (OPENAI_API_KEY, XAI_API_KEY, AUTH_TOKEN, CT0, THREADS_ACCESS_TOKEN, SCRAPECREATORS_API_KEY, HF_TOKEN, PRODUCTHUNT_TOKEN, SO_API_KEY, etc.) and will use them if present. This is proportionate to offering optional access to additional sources, but it means any tokens present in your environment or in ~/.config/scry/.env (or the compatibility path ~/.config/last30days/.env) could be accessed and used by the script. If you have sensitive keys in your environment, consider running the skill in a controlled environment or removing/isolating those keys.
Persistence & Privilege
The skill does not request always:true and does not alter other skills. It writes a cache to ~/.cache/scry and can read/write ~/.config/scry/.env per README guidance; those are reasonable for a local research tool. It does not request system-wide privileges beyond normal file I/O in user directories.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install scry - After installation, invoke the skill by name or use
/scry - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of scry: comprehensive multi-source research skill.
- Researches any topic across 26+ platforms (Reddit, X, YouTube, GitHub, HN, ArXiv, and more).
- Automatically parses user intent for topic, domain, query type, and target tool.
- Runs the scry script in the foreground, synchronizing results from all sources.
- Supplements output with WebSearch for blogs, news, and tutorials not covered by main sources.
- Synthesizes key findings with weighted cross-source signals and concise attributions.
- Displays clear research summaries, structured stats, and actionable next steps.
Metadata
Frequently Asked Questions
What is Scry?
Research any topic across 26+ sources: Reddit, X, YouTube, GitHub, HN, Bluesky, ArXiv, Dev.to, Polymarket, and more. The most comprehensive research skill av... It is an AI Agent Skill for Claude Code / OpenClaw, with 271 downloads so far.
How do I install Scry?
Run "/install scry" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Scry free?
Yes, Scry is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Scry support?
Scry is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Scry?
It is built and maintained by Vihang D (@vihangd); the current version is v0.1.0.
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