web-search

A skill for searching the web through the Tavily service, which retrieves current online information and extracts relevant page content.

In plain words
What is it for?
Use it to research recent news, articles, statistics, and other web content with focused queries and a small set of returned sources.
Why use it?
It helps find and verify information that may be newer or broader than the agent's existing knowledge.

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/open-gitagent/opengap/web-search
Any agent
npx skills add open-gitagent/opengap --skill web-search
Clone the repo
git clone --depth 1 https://github.com/open-gitagent/opengap

Made for: Claude Code, Codex.

Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 251 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00014 $0.00251
Opus 5 $0.00007 $0.00125
Sonnet 5 $0.00003 $0.00050
Haiku 4.5 $0.00001 $0.00025

Measured 3d ago against content hash b0da38369e1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

web-search 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 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.

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.

examples/nvidia-deep-researcher/skills/web-search/SKILL.md · 41 lines

What it actually says

Search the web for current information on any topic using the Tavily search API.

When to Use

  • Searching for recent news, articles, blog posts, and web content
  • Finding current statistics, data, and factual information
  • Retrieving information that may not be in academic papers or the knowledge base
  • Verifying claims with multiple web sources

How to Use

  1. Formulate a specific, targeted search query (max 400 characters)
  2. Call tavily_web_search with the query
  3. Review returned results for relevance and quality
  4. Extract key facts and note the source URL for citation

Result Format

Results are returned in Document XML format:

<Document href="https://example.com/article" title="Article Title">
  Content excerpt from the page...
</Document>

Constraints

  • Maximum 5 results returned per query
  • Query will be truncated to 400 characters
  • Search mode: advanced (includes content extraction)
  • Each call counts toward the researcher's 8-call limit per task
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 · 41 lines · 14 tokens per session scan A b0da38369e1d

Subscribe to this mod's changes

web-search is a skill published in the GitHub repository open-gitagent/opengap (2,921 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 251 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 2026-08-30.

Related

Other skills, from other repositories

a0-create-agent

Create a new Agent Zero agent profile (subordinate). Covers where profiles live (user / plugin-distributed / project-scoped), the agent.yaml schema, the prompt inheritance & override model, and optional profile-specific tools and extensions. Use for any "create/add/new agent profile" request.

agent0ai/agent-zero · 63 tokens

skill-packager

Authors Agent Skills v1.0 packages (SKILL.md plus references/scripts), runs packageskill to produce a standards-compliant zip, and uses installskill to add skills from HTTPS, registry, workspace, or an uploaded archive. Use when the user wants to turn documentation, workflows, or code into a portable skill, export a…

vixues/LeAgent · 87 tokens

document-processor

Guidance for processing documents, extracting content, and transforming structured information. Use when the user asks to process, parse, extract, or transform document content such as PDFs, Word files, or spreadsheets.

vixues/LeAgent · 44 tokens

workflow-helper

Guidance for creating, managing and executing workflow automations that chain multiple tools and agents together. Use when the user asks about building, listing, running or composing workflows and automated task pipelines.

vixues/LeAgent · 41 tokens

attendance-signin-sheet

Generate printable attendance / 签到表 spreadsheets from name lists. Use when the user asks for 签到表, attendance sheet, meeting sign-in table, or similar printable roster tables (not full payroll attendance scoring unless asked).

vixues/LeAgent · 51 tokens

data-analyzer

Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.

vixues/LeAgent · 39 tokens