Web Research Workflow
CheckedAutomates complex web research tasks, gathering data from multiple sources and organizing findings into structured reports.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add yonatangross/orchestkit --skill web-research-workflow -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
yonatangross
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned yonatangross/orchestkit at 7784b90c05.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7784b90c05
- Scanned
- 2 files, 224 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill enables AI agents to autonomously perform comprehensive web research tasks. It orchestrates a full workflow from initial query formulation to data gathering and synthesis, allowing agents to browse the internet and compile information without manual intervention.
When to use it
- Investigating current market trends or competitor analysis for business strategy.
- Gathering up-to-date technical documentation or API specifications for development tasks.
- Conducting preliminary fact-checking on news events or public records.
- Collecting diverse sources of information to synthesize a detailed report on a specific topic.
Key capabilities
- Autonomous navigation and browsing of external websites.
- Dynamic query formulation based on initial user requests.
- Systematic data collection from multiple web sources.
- Synthesis of gathered information into coherent summaries.
Example prompts
- "Research the latest advancements in quantum computing hardware released this year."
- "Gather all available public reviews for the new software update and summarize the common complaints."
- "Find recent news articles discussing changes to international trade tariffs in the tech sector."
Tips & gotchas
Ensure your AI agent has appropriate permissions to access external networks, as this skill relies on live internet connectivity. For best results, provide specific constraints or a defined scope in your initial prompt to prevent the agent from gathering irrelevant data across too many unrelated domains.