feedgrab-setup

feedgrab-setup is a skill for Claude Code, Codex from iBigQiang/feedgrab. It costs 39 tokens per session (1,502 once invoked), scanned A, original, MIT.

A setup guide for feedgrab, a program that fetches content from many online platforms and saves or returns it in a usable format.

In plain words
What is it for?
Use it when feedgrab is missing, when adding optional platform support, or when configuring and checking its browser and content-fetching features.
Why use it?
It helps install the required software, configure access keys and login details, and diagnose setup problems.

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/ibigqiang/feedgrab/feedgrab-setup
Any agent
npx skills add iBigQiang/feedgrab --skill feedgrab-setup
Clone the repo
git clone --depth 1 https://github.com/iBigQiang/feedgrab

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 feedgrab-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/ibigqiang/feedgrab/feedgrab-setup.svg)](https://agentmods.dev/skills/ibigqiang/feedgrab/feedgrab-setup)
Your own site
<a href="https://agentmods.dev/skills/ibigqiang/feedgrab/feedgrab-setup"><img src="https://agentmods.dev/badge/skills/ibigqiang/feedgrab/feedgrab-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,502 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 $0.00039 $0.01502
Opus 5 $0.00019 $0.00751
Sonnet 5 $0.00008 $0.00300
Haiku 4.5 $0.00004 $0.00150

Measured 5d ago against content hash 0df2f3b91194, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feedgrab-setup 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 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.

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/feedgrab-setup/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

feedgrab Setup Guide

Install feedgrab, configure API keys, login to platforms, and verify everything works.

Trigger

  • /feedgrab-setup
  • "Install feedgrab"
  • "配置 feedgrab"
  • When /feedgrab reports "feedgrab not found"

Step 1: Check Python Environment

python3 --version 2>/dev/null || python --version 2>/dev/null
pip3 --version 2>/dev/null || pip --version 2>/dev/null

Requires Python ≥ 3.10. If not available, tell user to install Python first.

Step 2: Install feedgrab

pip install feedgrab[all]

This installs the full package with all optional dependencies (browser, stealth, Twitter, WeChat, Xiaohongshu, Feishu, Telegram).

For a minimal install:

pip install feedgrab                     # Core only (Jina fallback)
pip install feedgrab[browser]            # + Playwright
pip install feedgrab[twitter]            # + Twitter GraphQL
pip install feedgrab[stealth]            # + Anti-detection (patchright, curl_cffi)

After installation, verify:

feedgrab --help

Step 3: Interactive Setup

feedgrab setup

This runs a 5-step interactive wizard:

  1. Output directory — where to save fetched content (default: ./output/)
  2. Jina API — free, no key needed
  3. YouTube API Key — optional, for YouTube search
  4. GitHub Token — optional, for higher rate limits
  5. Creates .env file with your configuration

Step 4: Platform Login (as needed)

For platforms requiring cookies/session:

# Twitter/X — opens browser for login
feedgrab login twitter

# Xiaohongshu — opens browser for login
feedgrab login xhs

# WeChat MP backend — opens browser for login (session valid ~4 days)
feedgrab login wechat

# Feishu — opens browser for login
feedgrab login feishu

# Reddit — opens browser for login if Cloudflare/private content needs it
feedgrab login reddit

# LinuxDo / Discourse — opens browser for login
feedgrab login linuxdo

# IDCFlare / Discourse — opens browser for login
feedgrab login idcflare

# KDocs (金山文档) — opens browser for login
feedgrab login kdocs

# Zhihu (知乎) — opens browser for login
feedgrab login zhihu

# FlowUs (息流) — opens browser for login
feedgrab login flowus

Read the full file on GitHub · 229 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. 5d ago First seen · 229 lines · 39 tokens per session scan A 0df2f3b91194

Subscribe to this mod's changes

feedgrab-setup is a skill published in the GitHub repository iBigQiang/feedgrab (606 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 1,502 once invoked, about $0.0002 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.

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