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wanng-ide

Browser Research Lite

by WANGJUNJIE · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
1186
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1
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5
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Install in OpenClaw
/install browser-research-lite
Description
API-key-free online research via the built-in browser tool. Use this skill when web_search fails due to missing keys, and you still need web evidence.
README (SKILL.md)

Browser Research Lite

Goal: perform reliable web retrieval without Brave/Tavily/Serper API keys.

When To Use

  • web_search reports key/config errors (for example: missing_brave_api_key).
  • You need factual lookup, definitions, theorem statements, or reference pages.
  • Benchmark tasks need external evidence but remote search APIs are unavailable.

Core Policy

  • Use local computation tools first for computable questions.
  • If online retrieval is required, use the built-in browser tool directly.
  • Prefer trusted sources (official docs, textbooks, university pages, Wikipedia as secondary).
  • Cross-check at least 2 sources for non-trivial claims.

Browser Workflow

  1. Run browser availability guard first:
python3 skills/browser-research-lite/scripts/browser_guard.py
  1. If browser_available=false, stop browser retries and switch to local tools.
    • If browser_running=false or browser_cdp_ready=false, attach browser manually:
      • open any page in Chrome with OpenClaw extension installed,
      • click the OpenClaw extension icon once to attach current tab,
      • rerun browser_guard.py.
  2. If browser_available=true, open a search page with concise query terms.
  3. Scan top results and open 2-3 high-quality sources.
  4. Extract only the minimal facts needed to answer the question.
  5. If pages are noisy, refine query with exact keywords and retry once.
  6. Produce final answer with concise rationale; avoid copying long passages.

Fallbacks

  • If browsing is blocked/captcha-heavy, switch to alternative domains and shorter queries.
  • If browser node is unavailable, avoid repeated browser calls in the same question.
  • If browser remains unavailable, switch to skills/web-fetch-research-lite/SKILL.md and run URL-first retrieval via web_fetch.
  • If no reliable source is found quickly, return best-effort answer and mark uncertainty.

Solidify Note

When this skill improves benchmark progress, record:

  • trigger signal(s),
  • source quality and retrieval steps,
  • measurable effect on benchmark score/accuracy.
Usage Guidance
This skill appears to do what it says: check whether a local OpenClaw browser node is available and then guide browsing-based retrieval. Before installing, note two things: (1) the guard script reads recent session files under ~/.openclaw/agents/main/sessions and runs the local 'openclaw' CLI — those session logs can contain prior conversation context, so only install if you trust the skill/source and are comfortable with local log reads; (2) SKILL.md references a script path that doesn't match the repo layout (an operational bug you may need to fix). If you want extra assurance, inspect scripts/browser_guard.py yourself and verify it only prints JSON locally (it does) and does not send data externally. If you don't want local session logs to be read, do not install or modify the script to restrict file access.
Capability Analysis
Type: OpenClaw Skill Name: browser-research-lite Version: 1.0.0 The skill bundle 'browser-research-lite' is designed to provide API-key-free online research using the agent's built-in browser. The `SKILL.md` provides clear, benign instructions for the AI agent on how to use the browser tool and handle availability issues, without any evidence of prompt injection attempts. The `index.js` and `scripts/browser_guard.py` files utilize `child_process.execSync` and `subprocess.run` respectively, but these are used to execute fixed, internal commands (`python3 scripts/browser_guard.py` and `openclaw browser status --json`) for diagnostic purposes (checking browser availability and status). There is no user input directly incorporated into these commands, preventing shell injection vulnerabilities. No evidence of data exfiltration, persistence, or other malicious activities was found. The skill's functionality aligns entirely with its stated purpose.
Capability Assessment
Purpose & Capability
Name/description (API-key-free browser research) align with the included code: index.js invokes a local Python guard and returns guidance for manual/agent-driven browser use. The files focus on detecting a locally-available OpenClaw browser node and do not request unrelated cloud credentials or services.
Instruction Scope
SKILL.md directs running a browser guard script and using the built-in browser tool; the guard script (scripts/browser_guard.py) reads recent OpenClaw session log files and invokes the local 'openclaw browser status --json' command to determine availability. Reading session logs is within the stated purpose (to infer browser availability), but those logs may contain prior user queries or state — the user should be aware the script parses local session files. Also SKILL.md includes a path 'skills/browser-research-lite/scripts/browser_guard.py' that does not match the repository layout (script actually at scripts/browser_guard.py), an operational inconsistency to fix.
Install Mechanism
No install specification and no third-party network downloads; the skill is instruction/code-only and runs local scripts. That is low-risk from an installer perspective.
Credentials
The skill declares no required env vars or credentials, and indeed does not ask for API keys. However, the guard script accesses files under ~/.openclaw/agents/main/sessions (user home) and executes the local 'openclaw' CLI. That is proportionate for detecting a local browser node, but it does give the skill read access to session logs which may contain sensitive conversational context.
Persistence & Privilege
The skill does not request always:true, does not modify other skill configs, and contains no install-time persistence. It only runs local checks and returns status; normal autonomous invocation is permitted by default but not flagged here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install browser-research-lite
  3. After installation, invoke the skill by name or use /browser-research-lite
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of browser-research-lite skill. - Enables API-key-free online research using the built-in browser tool. - Designed to serve as a fallback when other web search skills fail due to missing API keys. - Provides step-by-step workflow for reliable web evidence retrieval and source quality control. - Includes clear policies on when to use browser-based research, trusted sources, and fallback procedures. - Adds instructions for handling browser/tool availability and reporting improvements to benchmarks.
Metadata
Slug browser-research-lite
Version 1.0.0
License
All-time Installs 6
Active Installs 5
Total Versions 1
Frequently Asked Questions

What is Browser Research Lite?

API-key-free online research via the built-in browser tool. Use this skill when web_search fails due to missing keys, and you still need web evidence. It is an AI Agent Skill for Claude Code / OpenClaw, with 1186 downloads so far.

How do I install Browser Research Lite?

Run "/install browser-research-lite" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Browser Research Lite free?

Yes, Browser Research Lite is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Browser Research Lite support?

Browser Research Lite is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Browser Research Lite?

It is built and maintained by WANGJUNJIE (@wanng-ide); the current version is v1.0.0.

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