Web Research
ListedAutomates web research tasks, extracting data and insights from online sources based on provided queries.
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 pollinations/pollinations --skill web-research -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
pollinations
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: gen.pollinations.ai.
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.
Hosts contacted
gen.pollinations.aiundeclaredWhat it found
- .claude/skills/web-research/scripts/web-research.sh:184contacts gen.pollinations.ai
curl -sS "https://gen.pollinations.ai/v1/chat/completions" \
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 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 pollinations/pollinations at b5bae6b280.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b5bae6b280
- Scanned
- 2 files, 287 lines
About this skill
What it does
This skill automates web research tasks, extracting data and insights from online sources based on provided queries. It leverages various search models like Google Gemini, Perplexity AI, and NomNom to retrieve information. By default, it runs both gemini-search and perplexity-fast in parallel for faster results. The skill requires curl to function correctly.
When to use it
- Fact-checking claims by providing a statement to be verified with supporting sources.
- Gathering general information about a topic or entity, such as "What is pollinations.ai?".
- Comparing answers from different search models on the same query.
- Quickly researching specific questions that require online data retrieval.
Key capabilities
- Utilizes multiple search models: gemini-search, perplexity-fast, perplexity, and nomnom.
- Runs queries in parallel for faster results (default behavior).
- Allows users to specify a particular model using the
--modelflag. - Supports comparing responses from multiple models simultaneously with the
--modelsflag.
Example prompts
- ".claude/skills/web-research/scripts/web-research.sh "What is pollinations.ai?""
- ".claude/skills/web-research/scripts/web-research.sh --model perplexity-fast "Fact-check this claim with sources""
- ".claude/skills/web-research/scripts/web-research.sh --models gemini-search,perplexity-fast "Compare answers""
Tips & gotchas
- Authentication Required: You must provide an API key via the
POLLINATIONS_API_KEYenvironment variable or a.envfile. If not provided, the script will prompt for one. - Dependencies: Ensure that
curlis installed on your system as this skill requires it to function. - Parallel Execution: When using multiple models with
--parallel, be aware of potential rate limits and increased processing time.