web-research

web-research is a skill for Claude Code, Codex from danielgap/openclaw-planitor. It costs 45 tokens per session (2,483 once invoked), scanned A, original, MIT.

A reference guide for researching websites and public online information. It describes several ways to search for, retrieve, scrape, and investigate web content.

In plain words
What is it for?
It supports web searches, URL fetching, page extraction, scraping, and OSINT—research using publicly available information. It also documents which tool to try for different research tasks.
Why use it?
It helps when a website blocks access, needs JavaScript to load, or is difficult to extract information from. It provides fallback methods when one fetching or search method fails.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/danielgap/openclaw-planitor/web-research
Any agent
npx skills add danielgap/openclaw-planitor --skill web-research
Clone the repo
git clone --depth 1 https://github.com/danielgap/openclaw-planitor

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge for your README with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them.

agentmods badge for web-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/web-research.svg)](https://agentmods.dev/skills/danielgap/openclaw-planitor/web-research)
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,483 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00045 $0.02483
Opus 5 $0.00023 $0.01241
Sonnet 5 $0.00009 $0.00497
Haiku 4.5 $0.00005 $0.00248

Measured 3d ago against content hash bc2030642003, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

web-research scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. curl -sL "$URL"
skills/web-research/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Research — Arsenal de Investigación

Sistema completo de herramientas para búsqueda, extracción, scraping y OSINT. Todas las herramientas funcionan sin intervención manual y están integradas en el pipeline.


🔄 Fallback Chain de Fetching

Para obtener contenido de cualquier URL, seguir este orden:

1. curl -sL "$URL"
   └─ Estático, rápido (~1s). Si devuelve contenido útil → usar
   └─ Si falla, vacío, o bloqueado ↓

2. curl -sL "https://r.jina.ai/$URL"
   └─ Jina AI: paywall bypass, JS rendering (~3s)
   └─ Si falla ↓

3. python3 skills/searxng-search/searxng-search.py "$QUERY"
   └─ SearXNG: búsqueda metagear, sin rate limits (~2s)
   └─ Si no encuentra ↓

4. lightpanda fetch --dump markdown "$URL"
   └─ Lightpanda: JS rendering ultrarrápido (~1.7s), bypass Cloudflare
   └─ Si falla ↓

5. scrapling stealthy-fetch "$URL" --headless --wait 3000
   └─ Scrapling: anti-bot completo, último recurso (~7-10s)
   └─ Bypass todo tipo de protecciones

🔧 Herramientas por Categoría

Búsqueda Web

Herramienta Tipo Rate Limit Uso Principal
Tavily API (web_search tool) 1000 req/mes (free) Búsqueda primaria, optimizada para IA
SearXNG Script Python Sin límite Búsqueda sin rate limits, URLs de competidores
Jina AI API (r.jina.ai) Sin límite Bypass paywalls, artículos completos
Perplexity Pro Browser automation Suscripción $20/mes Búsqueda pro con fuentes (opcional)

Cuándo usar cada una:

  • Búsqueda general de información → Tavily (primero)
  • Necesitas URLs verificables de competidores → SearXNG
  • Artículo detrás de paywall → Jina AI
  • Búsqueda profunda con análisis → Perplexity Pro (si disponible)

Scraping / Extracción Web

Herramienta Velocidad Anti-bot Uso
Lightpanda ⚡ 1.7s Cloudflare bypass Webs con JS, tweets, datos dinámicos
Scrapling 🐢 7-10s Full anti-bot Último recurso, sitios muy protegidos
Camoufox 🐢 5-8s Fingerprint spoofing Google Reviews, datos que requieren navegador real
agent-browser 🐢 10-15s Perfil guardado Automatización compleja, Perplexity, flujos multi-paso

Read the full file on GitHub · 261 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 261 lines · 45 tokens per session scan A bc2030642003

Subscribe to this mod's changes

web-research is a skill published in the GitHub repository danielgap/openclaw-planitor (5 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 2,483 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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