Agent skill

Webthinker Deep Research

by foryourhealth111-pixel in foryourhealth111-pixel/Vibe-Skills

Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).

Apache-2.0Auto-check passedResearch & Science

Install Webthinker Deep Research

skills CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill webthinker-deep-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install foryourhealth111-pixel/Vibe-Skills webthinker-deep-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/webthinker-deep-research .claude/skills/webthinker-deep-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
webthinker-deep-research
GitHub stars
3.6k
Token cost
~991 tokens
SKILL.md length
425 words
Files
2 (incl. scripts)
Skills in repo
81
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).

  • Works in 5 steps: Scaffold outputs → Search (broad → narrow) → Browse/extract → …
  • Tasks that involve Deep research
  • SKILL.md covers When to use, Non-goals (avoid redundancy), Output contract (must) and Runtime (Upstream vendoring), plus 3 more sections
  • Runs Python scripts from its folder; calls pwsh and python; needs OPENAI_API_KEY

What it does

Webthinker Deep Research is an agent skill from foryourhealth111-pixel/Vibe-Skills. Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/init_webthinker_run.py`).

It sits in Research & Science, covering Deep research. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Deep research

Example prompts

  • “/webthinker-deep-research”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Scaffold outputs
  2. Search (broad → narrow)
  3. Browse/extract
  4. Draft + iterate
  5. Verification

What it can do on your machine

Read from SKILL.md and the folder at commit ddcaa2a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • pwsh
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Webthinker Deep Research loads about 991 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 425 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~991

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.

Safety

Auto-check passed

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); the scripts in this folder are not scanned.

SKILL.md

The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its Apache-2.0 licence (© foryourhealth111-pixel). 425 words, ~991 tokens.

Download SKILL.mdSave it as .claude/skills/webthinker-deep-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
webthinker-deep-research
description
Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).

WebThinker Deep Research (VCO)

When to use

Use this skill when the task requires deep web research (not just one-shot search), for example:

  • Multi-hop questions (“find → open → follow links → verify”)
  • “Deep research report” / “调研报告” / “竞品调研” / “技术调研”
  • Need an auditable trace of web actions and sources
  • Need to merge findings into a structured deliverable (report / brief / spec)

Non-goals (avoid redundancy)

  • For quick citations or “give me 3 sources”, prefer research-lookup.
  • For interactive UI flows (login / forms / downloads), prefer playwright or turix-cua overlays.
  • For codebase structure / call chains, prefer GitNexus overlays (not web research).

Output contract (must)

Produce a folder with:

  • report.md — structured report (problem → findings → implications → next steps)
  • sources.json — all sources (URL/title/access time/snippet)
  • trace.jsonl — append-only action trace (search/open/extract/decision)
  • notes.md — working notes with per-source anchors

Use scripts/init_webthinker_run.py to scaffold the folder.

Runtime (Upstream vendoring)

This VCO skill supports a stable Lite mode by default, and keeps the upstream WebThinker repo vendored for optional advanced use.

  • Vendored upstream paths:
    • C:\Users\羽裳\.codex\_external\ruc-nlpir\WebThinker\
  • Runtime config (no secrets stored):
    • C:\Users\羽裳\.codex\skills\vibe\config\ruc-nlpir-runtime.json
  • Preflight / install (no secrets echoed):
    • pwsh C:\Users\羽裳\.codex\skills\vibe\scripts\ruc-nlpir\preflight.ps1
    • Manually create an isolated venv for the vendored runtime and install only the minimal packages you need. The old install-upstreams.ps1 auto-install path has been removed on purpose.

LLM endpoint conventions (recommended):

  • Base URL: OPENAI_BASE_URL (or runtime default)
  • API key: OPENAI_API_KEY (env var only; never write into files or CLI args)

Modes

Show full SKILL.md (204 more words)Show less

Use existing tools (no heavy model hosting):

  1. Scaffold outputs:
    • python C:\Users\羽裳\.codex\skills\webthinker-deep-research\scripts\init_webthinker_run.py --topic "…" --out outputs/webthinker
  2. Search (broad → narrow):
    • Use web.run search queries or mcp__tavily__tavily_search if available.
  3. Browse/extract:
    • Use web.run open/click/find for structured pages
    • Use playwright when pages require dynamic rendering / interactions
  4. Draft + iterate:
    • Update notes.md and sources.json continuously
    • Write report.md as you go (think-search-and-draft), not only at the end
  5. Verification:
    • Triangulate key claims across ≥2 sources when possible
    • Flag uncertainties explicitly
Mode B (Optional): Full WebThinker stack

Only choose this if you want to run the upstream system end-to-end and you have the environment:

  • Requires heavy deps (torch, transformers, vllm) + a served reasoning model
  • Requires a search API (Serper recommended by upstream)
  • Optional: Crawl4AI parser client for JS-heavy pages

This mode is for high-throughput deep research runs; for most VCO tasks, Lite mode is enough and cheaper.

Action trace format (trace.jsonl)

Each line is one JSON object, e.g.:

  • {"ts":"…","type":"search","query":"…","provider":"web.run"}
  • {"ts":"…","type":"open","url":"…"}
  • {"ts":"…","type":"extract","url":"…","highlights":["…","…"]}
  • {"ts":"…","type":"decision","reason":"why this source matters","next":"…"}

Quality gates

  • Every major claim in report.md links back to at least one entry in sources.json.
  • sources.json contains the exact URLs you used (no “I saw somewhere…”).
  • Keep the report actionable: add “Next steps” with concrete verification tasks.

© foryourhealth111-pixel, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in bundled/skills/webthinker-deep-research of foryourhealth111-pixel/Vibe-Skills.

  • SKILL.md
  • scripts/init_webthinker_run.py

Open the folder on GitHubat commit ddcaa2a

Compare with similar skills

Webthinker Deep Research 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.

Webthinker Deep Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Webthinker Deep Research this skillforyourhealth111-pixel/Vibe-Skills3.6k—~991Automated safety check: PassApache-2.0
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Academic Research PipelineImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence

Similar skills

  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Deep Research Workflow

    TokenRhythm/opensquilla

    Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.

    7.1k GitHub stars~1.3k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Deep Research

    sanjay3290/ai-skills

    Execute autonomous multi-step research using Google Gemini Deep Research Agent.

    432 GitHub starsUsed in 9 repos~683 tokens
    Research & ScienceAuto-check: notes
  • Horizontal-Vertical Deep Research

    KKKKhazix/khazix-skills

    Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.

    21k GitHub stars~2.1k tokensUpdated 9 days ago
    Research & ScienceAuto-check passed
  • Academic Research Pipeline

    Imbad0202/academic-research-skills

    Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

    51k GitHub stars~15k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Academic Research Suite for Codex

    Imbad0202/academic-research-skills-codex

    A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.

    12k GitHub stars~12k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed

More from foryourhealth111-pixel/Vibe-Skills

All 81 skills in this repo
  • Market Research Reports

    foryourhealth111-pixel/Vibe-Skills

    Produces long consulting-style market research and industry reports covering market sizing, competitive landscape, market entry and investment theses.

    3.6k GitHub stars~2.5k tokensUpdated 1 mo ago
    Auto-check: notes
  • Academic Venue Templates

    foryourhealth111-pixel/Vibe-Skills

    Supplies venue-specific LaTeX templates and formatting rules for journals, conferences and posters, and checks a manuscript against page limits and submission requirements.

    3.6k GitHub stars~3.9k tokensUpdated 1 mo ago
    Auto-check: notes
  • Digital Brain

    foryourhealth111-pixel/Vibe-Skills

    This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content…

    3.6k GitHub stars~1.7k tokensUpdated 1 mo ago
    Auto-check passed
  • Smart File Writer

    foryourhealth111-pixel/Vibe-Skills

    Diagnoses why a file write failed (permissions, disk space, path length, locks, read-only mounts) before retrying, instead of repeating the same call blindly.

    3.6k GitHub stars~2.6k tokensUpdated 1 mo ago
    Auto-check passed
  • Automated Video Studio

    foryourhealth111-pixel/Vibe-Skills

    Turns footage, audio and a storyboard plan into a finished short video with FFmpeg jump-cuts, subtitle burn-in and a final polish pass.

    3.6k GitHub stars~838 tokensUpdated 1 mo ago
    Auto-check passed
  • Citation Management

    foryourhealth111-pixel/Vibe-Skills

    Turns DOIs, PMIDs and arXiv IDs into clean BibTeX, searches Google Scholar and PubMed, and checks and deduplicates a reference list.

    3.6k GitHub stars~7.6k tokensUpdated 1 mo ago
    Auto-check: notes

Questions about Webthinker Deep Research

What does Webthinker Deep Research do?

Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style). Webthinker Deep Research is an agent skill from foryourhealth111-pixel/Vibe-Skills. Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).

When should I use Webthinker Deep Research?

Webthinker Deep Research fits situations like: tasks that involve Deep research.

How do I install Webthinker Deep Research in Claude Code?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill webthinker-deep-research -a claude-code`. Or copy the skill folder (bundled/skills/webthinker-deep-research in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/webthinker-deep-research in your project. Claude Code loads it when a task matches its description.

How do I install Webthinker Deep Research in Codex?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill webthinker-deep-research -a codex`. Or copy the skill folder (bundled/skills/webthinker-deep-research in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/webthinker-deep-research in your project. Codex loads it when a task matches its description.

Can I use Webthinker Deep Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill webthinker-deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/webthinker-deep-research, .gemini/skills/webthinker-deep-research, .github/skills/webthinker-deep-research and .opencode/skills/webthinker-deep-research in your project.

What does Webthinker Deep Research need to run?

Going by SKILL.md and its folder, Webthinker Deep Research needs Python for the scripts in its folder, the command-line tools its instructions call (pwsh and python) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.

Does Webthinker Deep Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Webthinker Deep Research safe to install?

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Webthinker Deep Research use?

Webthinker Deep Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Webthinker Deep Research use?

About 991 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Webthinker Deep Research?

Skills that share tags, products or a category with Webthinker Deep Research: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Webthinker Deep Research?

foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.

Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.