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.
npx agentmods add skills/ibigqiang/feedgrab/feedgrab-setupnpx skills add iBigQiang/feedgrab --skill feedgrab-setupgit clone --depth 1 https://github.com/iBigQiang/feedgrabWrote 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.
[](https://agentmods.dev/skills/ibigqiang/feedgrab/feedgrab-setup)<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>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.
| Model | Per session | Once 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 |
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.
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
/feedgrabreports "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:
- Output directory — where to save fetched content (default:
./output/) - Jina API — free, no key needed
- YouTube API Key — optional, for YouTube search
- GitHub Token — optional, for higher rate limits
- Creates
.envfile 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
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.
- 5d ago First seen · 229 lines · 39 tokens per session scan A 0df2f3b91194
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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