Local Web Search
uluckyXH/OpenMOSS
A skill your agent uses when the user asks for web search that should run via the local-160 Responses API with websearch tool (base URL like https://proxy.example.com, model gpt-5.2-codex(xhigh)).
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
Install Auto Research
$ npx skills add sickn33/agentic-awesome-skills --skill auto-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills auto-research --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/auto-research .claude/skills/auto-research && 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 "auto-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/auto-research into .claude/skills/auto-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-research", 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/sickn33/agentic-awesome-skills/tree/main/skills/auto-researchType 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 sickn33/agentic-awesome-skills --skill auto-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills auto-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/auto-research .agents/skills/auto-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/auto-research into .agents/skills/auto-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-research", 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 sickn33/agentic-awesome-skills --skill auto-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills auto-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/auto-research .cursor/skills/auto-research && 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 "auto-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/auto-research into .cursor/skills/auto-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-research", 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/sickn33/agentic-awesome-skills.git --path skills/auto-research--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 sickn33/agentic-awesome-skills --skill auto-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills auto-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/auto-research .gemini/skills/auto-research && 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 "auto-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/auto-research into .gemini/skills/auto-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-research", 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 sickn33/agentic-awesome-skills auto-researchInstalls 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 sickn33/agentic-awesome-skills --skill auto-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/auto-research .github/skills/auto-research && 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 "auto-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/auto-research into .github/skills/auto-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-research", 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 sickn33/agentic-awesome-skills --skill auto-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills auto-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/auto-research .opencode/skills/auto-research && 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 "auto-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/auto-research into .opencode/skills/auto-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-research", 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.
Facts
- Skill name
auto-research- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 606 words
- Files
- 1
- Skills in repo
- 1,493
- Repo updated
- First seen
- Licence
- MIT
At a glance
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
- Tasks that involve Web search
- SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Auto Research is an agent skill from sickn33/agentic-awesome-skills. Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Web search. It works with OpenAI. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Web search
Example prompts
- “/auto-research”
What it can do on your machine
Read from SKILL.md and the folder at commit 680176d. 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
No scripts in the folder and no shell commands in SKILL.md.
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Auto Research loads about 1.4k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 606 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.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 606 words, ~1,399 tokens.
Download SKILL.mdSave it as
.claude/skills/auto-research/SKILL.md (or your agent's skills folder).- name
- auto-research
- description
- Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
- category
- automation
- risk
- critical
- source
- self
- source_type
- self
- date_added
- 2026-07-09
- author
- zyu51
- tags
- research, chatgpt, playwright, browser-automation, decision-support, chinese
- tools
- claude, playwright
- license
- MIT
Auto-Research Skill
Overview
When implementing tasks, Claude Code can encounter uncertainties — design choices, algorithm details, API usage, or best practices. This skill provides an explicit-consent research path, presents findings, and waits for user approval before writing code.
The skill supports web research and an optional ChatGPT consultation. It never sends conversation context, files, browser state, or credentials to a third party without the user's explicit approval of the exact, redacted text.
When to Use This Skill
- User asks a question where multiple valid approaches exist
- Claude is uncertain about algorithm details or API usage
- Design/architecture choices need comparison
- The user explicitly asks to search the web or consult ChatGPT and approves the proposed query
How It Works
Step 1: Propose the research boundary — State the source to use, the exact query or redacted prompt, whether any local/workspace text would leave the machine, and the likely cost. Wait for the user to approve that exact boundary.
Step 2: Research — After approval, use web search or a browser session the user has
explicitly selected and authorized. Use a pinned, user-configured browser automation
connector; do not install packages automatically, use @latest, or access browser cookies,
other tabs, saved passwords, or sessions.
Step 3: Present — Distill findings into concise options with sources, presented to the user.
Step 4: Await Approval — Do NOT write code until the user says "go ahead" or picks an option.
Step 5: Implement — Once approved, execute with confidence.
Explicit ChatGPT Consultation
Do not treat ?, ??, or another shorthand as consent. First propose a minimal prompt,
for example: 请评估这个已脱敏的方案的正确性、完整性和可改进之处：<text>.
Explicitly identify every piece of text that would be sent. Only after the user confirms
the exact prompt may you open the selected ChatGPT session, submit that prompt, and present
the response. Do not include conversation history by default.
Redact secrets, personal data, proprietary code, customer data, and internal URLs before proposing the prompt. If safe redaction is not possible, do not submit it.
Browser Automation Boundary
If browser automation is necessary, the user must separately authorize the selected browser profile and connector version. Restrict the session to the consultation tab. Do not inspect, reuse, export, or rely on cookies from other tabs or profiles.
Examples
Show full SKILL.md (243 more words)Show less
Example 1: Design Question with GPT
User: PyTorch 中自定义 ADMM 优化器怎么设计？
Claude: 我可以搜索公开资料，或将以下已脱敏问题发给 ChatGPT：
“如何设计 PyTorch 自定义 ADMM 优化器？请比较可行模式。”
不会发送工作区文件或对话历史。是否允许？
User: 允许发送这段文字
Claude: [Opens only the authorized consultation tab, submits the approved prompt]
Claude: GPT suggests approach A with these pros/cons. Proceed?
User: 行
Claude: [Implements code]Example 2: Web Search
User: ?? ADMM convergence criteria best practices
Claude: I can search public sources for the exact redacted query
“ADMM convergence criteria best practices”. No workspace files or conversation
history will be sent. May I send that text to WebSearch and fetch the results?
User: Yes, send that query
Claude: [WebSearch + WebFetch → finds Boyd et al. paper, extracts criteria]
Claude: Boyd recommends ||r|| < ε·max(||Ax||, ||Bz||, ||c||). Use this?
User: Yes
Claude: [Implements]Best Practices
- ✅ Always present findings to user before writing code
- ✅ Use
page.fill()for instant text injection instead ofkeyboard.type() - ✅ Ask for fresh approval before every external consultation
- ✅ Include sources in findings
- ❌ Don't skip research and write code speculatively
- ❌ Don't send context, files, or browser data because of a shorthand trigger
- ❌ Don't alter the user's browser profile or session state
Limitations
- Requires a user-configured, pinned browser automation connector if browser consultation is used
- ChatGPT consultation is optional; use ordinary web search when it meets the need
- GPT response time varies (10-30s typically)
- Web search quality depends on available sources
- Does not replace expert domain knowledge — always let user make the final call
Security & Safety Notes
- Obtain explicit consent for each third-party submission, including the exact redacted text
- Never access, export, or depend on cookies, saved passwords, or unrelated browser tabs
- Never submit sensitive credentials, tokens, proprietary code, personal data, or internal URLs
- Do not install or execute browser tooling from an unpinned package version
Common Pitfalls
| Problem | Solution |
|---|---|
| ChatGPT shows login page | Let the user log in themselves; do not handle cookies or credentials |
| The prompt contains sensitive context | Redact it or use local reasoning instead |
| Browser automation is unavailable | Use web search or stop and ask the user for a different approved method |
Related Skills
- @systematic-debugging — use when debugging Playwright interactions with ChatGPT
- @condition-based-waiting — use when waiting for GPT responses in the browser
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/auto-research of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Auto 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Auto Research this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Local Web SearchuluckyXH/OpenMOSS | 1.3k | — | ~392 | Automated safety check: Notes | MIT | |
| Search Redditsundial-org/awesome-openclaw-skills | 663 | — | ~536 | Automated safety check: Pass | None | |
| Council Executionhex/claude-council | 851 | — | ~824 | Automated safety check: Pass | MIT | |
| Scrapingbee CLIScrapingBee/scrapingbee-cli | 108 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Ag2 Use Builtin Toolsag2ai/build-with-ag2 | 252 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Auto Research
What does Auto Research do?
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval. Auto Research is an agent skill from sickn33/agentic-awesome-skills. Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
When should I use Auto Research?
Auto Research fits situations like: tasks that involve Web search.
How do I install Auto Research in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill auto-research -a claude-code`. Or copy the skill folder (skills/auto-research in sickn33/agentic-awesome-skills) into .claude/skills/auto-research in your project. Claude Code loads it when a task matches its description.
How do I install Auto Research in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill auto-research -a codex`. Or copy the skill folder (skills/auto-research in sickn33/agentic-awesome-skills) into .agents/skills/auto-research in your project. Codex loads it when a task matches its description.
Can I use Auto 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 sickn33/agentic-awesome-skills --skill auto-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/auto-research, .gemini/skills/auto-research, .github/skills/auto-research and .opencode/skills/auto-research in your project.
What does Auto Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Auto Research is instructions for the agent only.
Does Auto 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 Auto 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. Review the folder before installing.
What licence does Auto Research use?
Auto Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Auto Research use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Auto Research?
Skills that share tags, products or a category with Auto Research: Local Web Search (uluckyXH/OpenMOSS, 1.3k stars), Search Reddit (sundial-org/awesome-openclaw-skills, 663 stars), Council Execution (hex/claude-council, 851 stars) and Scrapingbee CLI (ScrapingBee/scrapingbee-cli, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Auto Research?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.