fanqie-radar

番茄小说榜单数据 · 扫榜选书工作台 · MCP Server · 开源 Agent Skill（Codex / Claude Code 一键安装）。内置真实榜单快照、内置扫榜采集、题材热度 / 趋势差分 / 仿写六维评分——AI 网文写作与数据驱动选书判断力。Fanqie novel rank data, webnovel scanning & book-selection workbench, agent skills for Claude Code & Codex, MCP server for AI novel writing, Chinese webnovel trend analysis.

What does this entry provide?

fanqie-radar is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 38/100. 番茄小说榜单数据 · 扫榜选书工作台 · MCP Server · 开源 Agent Skill（Codex / Claude Code 一键安装）。内置真实榜单快照、内置扫榜采集、题材热度 / 趋势差分 / 仿写六维评分——AI 网文写作与数据驱动选书判断力。Fanqie novel rank data, webno. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding fanqie-radar to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: GitHub MCP Search
Quality: 38/100
Install method: source code
Repo: WindXRan/fanqie-radar
Repo updated: Sep 7, 2026

Source checkout

git clone https://github.com/WindXRan/fanqie-radar.git

Install method: source code

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 7, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

Security signals

mediumMatched in: skillBody
Executes inline Python code, which can hide malicious behavior in a compact payload.
python -c "Dispute this flag?

Scan coverage: Install metadata and repository README.

Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.

MCP manifest

{
  "fullName": "WindXRan/fanqie-radar"
}

Discovery note

Report an issue with this listing