web research

web research is a skill for Claude Code, Codex from FoneClaw-AI/foneclaw-android. It costs 22 tokens per session (604 once invoked), scanned A, original, MIT.

A tool for searching the public web and fetching the contents of specific pages. It is intended for questions that depend on current, external, or source-based information.

In plain words
What is it for?
Use it to research current topics, retrieve known web pages, check official documentation, and gather sources for answers that need citations.
Why use it?
It helps avoid relying on outdated memory when an answer depends on recent events, changing policies, prices, software versions, or a particular URL.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to research current topics, retrieve known web pages, check official documentation, and gather sources for answers that need citations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/foneclaw-ai/foneclaw-android/webresearch
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.

Any agent
npx skills add FoneClaw-AI/foneclaw-android --skill webresearch
Clone the repo
git clone --depth 1 https://github.com/FoneClaw-AI/foneclaw-android

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for web research

README.md
[![agentmods](https://agentmods.dev/badge/skills/foneclaw-ai/foneclaw-android/webresearch.svg)](https://agentmods.dev/skills/foneclaw-ai/foneclaw-android/webresearch)
Your own site
<a href="https://agentmods.dev/skills/foneclaw-ai/foneclaw-android/webresearch"><img src="https://agentmods.dev/badge/skills/foneclaw-ai/foneclaw-android/webresearch.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 604 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00022 $0.00604
Opus 5 $0.00011 $0.00302
Sonnet 5 $0.00004 $0.00121
Haiku 4.5 $0.00002 $0.00060

Measured 8d ago against content hash cd364e57324d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

web research scanned grade A with 0 findings 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 8d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/webResearch/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Research

Use this skill when the user asks for current, external, source-dependent, price-related, policy-related, API-related, version-related, news-related, or citation-required information.

Available Tools

  • web_search: Search the public web and return candidate pages.
  • web_fetch: Fetch and extract readable content from a known URL.

When to Use

Use this skill when:

  • The user asks for latest, current, today, recent, price, availability, policy, regulation, changelog, release date, news, ranking, or comparison.
  • The answer depends on external sources.
  • The model is uncertain or the information may have changed.
  • The user asks for sources, citations, or URLs.

Do not use this skill when:

  • The task is translation, rewriting, formatting, or brainstorming.
  • The answer is stable common knowledge.
  • The user explicitly says not to search.

Procedure

  1. Decide whether web access is required.
  2. Generate 1 to 3 search queries.
  3. Call web_search with the strongest query first.
  4. Prefer official, primary, recent, and authoritative sources.
  5. Do not answer from snippets alone unless the user only asks for navigation links.
  6. For each important source, call web_fetch on the URL.
  7. Extract:
    • title
    • source
    • publication/update date
    • key claims
    • relevant evidence
  8. Filter low-quality results:
    • duplicated pages
    • SEO spam
    • pages without dates for time-sensitive claims
    • copied content without original source
  9. Cross-check important claims with at least two sources when possible.
  10. If pages require JavaScript or login, use browser instead of web_fetch.

Source Priority

Prefer sources in this order:

  1. Official documentation, official website, government source, company announcement
  2. Standards, papers, GitHub repositories, package registries
  3. Reputable media or industry publications
  4. Blogs, forums, Reddit, social posts

Filtering Rules

Reject or deprioritize:

  • Sources with no author/source/date for time-sensitive claims
  • Content farms
  • Aggregated snippets without original links
  • Pages that only quote another source
  • Outdated pages when the query asks for latest/current information

Read the full file on GitHub · 84 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. 8d ago First seen · 84 lines · 22 tokens per session scan A cd364e57324d

Subscribe to this mod's changes

web research is a skill published in the GitHub repository FoneClaw-AI/foneclaw-android (6 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 604 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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