fetch

fetch is a command for coding agents from bigph00t/claude-research-team. It costs 9 tokens per session (280 once invoked), scanned A, original, AGPL-3.0.

A command for retrieving content from a specific web address and saving it.

In plain words
What is it for?
Use it to fetch the contents of a known URL for later use.
Why use it?
It removes the need to manually open a URL and store its contents.

Command

Part of the claude-research-team plugin — 3 skills, 4 commands, 4 hooks, 1 MCP server shipped together

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 commands/bigph00t/claude-research-team/fetch
Clone the repo
git clone --depth 1 https://github.com/bigph00t/claude-research-team

Or install claude-research-team, the plugin that ships this one along with the rest of its 3 skills, 4 commands, 4 hooks, 1 MCP server.

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 fetch

README.md
[![agentmods](https://agentmods.dev/badge/commands/bigph00t/claude-research-team/fetch.svg)](https://agentmods.dev/commands/bigph00t/claude-research-team/fetch)
Your own site
<a href="https://agentmods.dev/commands/bigph00t/claude-research-team/fetch"><img src="https://agentmods.dev/badge/commands/bigph00t/claude-research-team/fetch.svg" alt="Measured on agentmods" height="20"></a>
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 280 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00009 $0.00280
Opus 5 $0.00005 $0.00140
Sonnet 5 $0.00002 $0.00056
Haiku 4.5 $0.00001 $0.00028

Measured 5d ago against content hash 52cf185a6d75, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fetch 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 5d 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.

curl -X POST http://localhost:3200/api/fetch \
commands/fetch.md · 50 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 5d ago First seen · 50 lines · 9 tokens per session scan A 52cf185a6d75

Subscribe to this mod's changes

fetch is a command published in the GitHub repository bigph00t/claude-research-team (8 stars, last pushed 7mo ago), licensed AGPL-3.0. It adds 9 tokens to every session and 280 once invoked, about $0.0000 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.