Web Research
Juncai22/spring-ai-agent-learning
A skill your agent uses for requests related to web research; it provides a structured approach to conducting comprehensive web research
Web search, AI answers, content extraction, and async deep research
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-valyu --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .claude/skills/web-search-valyu && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "web-search-valyu" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyu into .claude/skills/web-search-valyu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-valyu", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyuType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-valyu --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .agents/skills/web-search-valyu && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "web-search-valyu" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyu into .agents/skills/web-search-valyu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-valyu", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-valyu --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .cursor/skills/web-search-valyu && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "web-search-valyu" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyu into .cursor/skills/web-search-valyu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-valyu", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/research-tools/capabilities/web-search-valyu--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-valyu --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .gemini/skills/web-search-valyu && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "web-search-valyu" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyu into .gemini/skills/web-search-valyu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-valyu", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills web-search-valyuInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .github/skills/web-search-valyu && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "web-search-valyu" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyu into .github/skills/web-search-valyu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-valyu", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-valyu --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .opencode/skills/web-search-valyu && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "web-search-valyu" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-valyu into .opencode/skills/web-search-valyu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-valyu", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
web-search-valyuWeb search, AI answers, content extraction, and async deep research
Web Search Valyu is an agent skill from gooseworks-ai/goose-skills. Web search, AI answers, content extraction, and async deep research
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Research & Science, covering Web search and Deep research. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlpython3npxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.gooseworks.aiAlso links to:
valyu.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GOOSEWORKS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Web Search Valyu loads about 3.8k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 1,449 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,449 words, ~3,821 tokens.
.claude/skills/web-search-valyu/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Search the web, get AI answers, extract content, and run deep research tasks.
Reference for getting deep research task status via GET /v1/deepresearch/tasks/{id}/status.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/tasks/{id}/status"}'Reference for adding follow-up instructions to a running task via POST /v1/deepresearch/tasks/{id}/update.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/tasks/{id}/update","body":{"query":"Updated research query"}}'Reference for cancelling a running task via POST /v1/deepresearch/tasks/{id}/cancel.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/tasks/{id}/cancel"}'Reference for deleting a task via DELETE /v1/deepresearch/tasks/{id}/delete.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/tasks/{id}/delete"}'Reference for getting batch status via GET /v1/deepresearch/batches/.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/batches/{id}"}'Reference for listing tasks in a batch via GET /v1/deepresearch/batches//tasks.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/batches/{id}/tasks"}'Reference for cancelling a batch via POST /v1/deepresearch/batches//cancel.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/batches/{id}/cancel"}'Reference for the Valyu Search endpoint to search the web, research, and proprietary datasets via POST /v1/search.
Parameters:
<string>) - Type of search to perform.'web' searches and returns web content. 'proprietary' uses Valyu's full-text multimodal indicies (arxiv/pubmed/proprietary academic content). 'news' searches and returns only news articles.<float>) - Maximum price in dollars for a thousand retrievals (CPM). Only applies when provided. If not provided, adjusts automatically based on search type and max number of results.<float>) - Minimum relevance score for results (0.0-1.0)<date>) - Start date for time-filtered searches (YYYY-MM-DD)<date>) - End date for time-filtered searches (YYYY-MM-DD)curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/search","body":{"query":"AI agent frameworks comparison"}}'Reference for the Valyu Answer endpoint that blends search results into AI-generated answers via POST /v1/answer.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/answer","body":{"query":"What are the best practices for building AI agents?"}}'Reference for the Valyu Contents endpoint that extracts clean, structured content from any URL via POST /v1/contents.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/contents","body":{"urls":["https://example.com/article"]}}'Reference for creating a new batch via POST /v1/deepresearch/batches.
Parameters:
<string>) - DeepResearch mode for all tasks in this batch<uri>) - HTTPS URL to receive notifications when the batch completescurl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/batches","body":{"name":"Competitor Research"}}'Reference for creating a new deep research task via POST /v1/deepresearch/tasks.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/tasks","body":{"query":"Comprehensive analysis of vector databases market"}}'Reference for adding tasks to a batch via POST /v1/deepresearch/batches//tasks.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch/batches/{id}/tasks"}'For full endpoint details and parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"valyu API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"valyu","path":"/v1/deepresearch"}' # Get endpoint details© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/research-tools/capabilities/web-search-valyu of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Web Search Valyu next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Web Search Valyu this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Web ResearchJuncai22/spring-ai-agent-learning | 124 | 2 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Argo Search and Verificationtaxueseek/argo | 188 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Live Researchbrightdata/skills | 264 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Weekly Signal DiffNateBJones-Projects/OB1 | 4.7k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Research Analystsimranjeet97/Awsome_AI_Agents | 229 | — | ~150 | Automated safety check: Pass | Apache-2.0 |
Juncai22/spring-ai-agent-learning
A skill your agent uses for requests related to web research; it provides a structured approach to conducting comprehensive web research
taxueseek/argo
Unified web search, page fetching and evidence checking across hundreds of sources, with result verification, a research-dossier mode and vertical search engines.
brightdata/skills
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content).
NateBJones-Projects/OB1
Turns a noisy week of AI or software market news into a short list of structural changes, weighted by what the user already tracks in Open Brain memory.
simranjeet97/Awsome_AI_Agents
Executes a research plan by formulating effective web search queries and synthesizing the findings with proper citations.
K-Dense-AI/claude-scientific-writer
Use Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring.
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Web search, AI answers, content extraction, and async deep research. Web Search Valyu is an agent skill from gooseworks-ai/goose-skills.
Web Search Valyu fits situations like: tasks that involve Web search; tasks that involve Deep research.
Run `npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/web-search-valyu in gooseworks-ai/goose-skills) into .claude/skills/web-search-valyu in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a codex`. Or copy the skill folder (skills/research-tools/capabilities/web-search-valyu in gooseworks-ai/goose-skills) into .agents/skills/web-search-valyu in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-search-valyu, .gemini/skills/web-search-valyu, .github/skills/web-search-valyu and .opencode/skills/web-search-valyu in your project.
Going by SKILL.md and its folder, Web Search Valyu needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.
SKILL.md names 2 domains. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. As links in the text: valyu.ai. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Web Search Valyu is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Web Search Valyu: Web Research (Juncai22/spring-ai-agent-learning, 124 stars), Argo Search and Verification (taxueseek/argo, 188 stars), Live Research (brightdata/skills, 264 stars) and Weekly Signal Diff (NateBJones-Projects/OB1, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.