Preface¶

For teams working on Fanqie Novels, a common pain point is the labor-intensive process of migrating piles of completed manuscripts to the Author Backend in batches. Team members have to manually monitor audit results, rewrite chapters one by one to remove “AI tone,” and finally perform manual splitting, pasting, and uploading. This workflow is scattered across revision tools, scanning scripts, and browsers; if something is missed on any given day, the daily update streak breaks.

The Skill introduced below integrates this pipeline into a single scheduled task: it reads the completed novel, performs structural refactoring as needed, removes the “AI flavor” from the entire book, scans for risks according to Fanqie’s audit rules, slices out a daily batch of no more than 10,000 characters to store in the outbox, and automatically logs into the Author Backend to paste and publish when a browser connection is available.

What is this¶

This is a community Skill on SkillHub, located at @user_170e8f72/novel-daily-publisher, version 2.1.0. It is published and maintained by user_170e8f72, categorized under ai-agent, and tagged with the source community. It is not responsible for writing new chapters; instead, it targets scenarios where existing completed novels require stable daily updates and uploading.

Current scraped data shows: Rating 100,000, Downloads 1,178, Installs 0; Tag requires_api_key=false, meaning no additional API Key is needed.

Core Functions¶

1. Read Completed Novel: Acts as the pipeline entry point, reading the entire book’s content into the workflow.
2. Audit-Pass Refactoring (Optional): Rewrites structural flaws such as “smut/harem” content. This step is optional and can be skipped if refactoring is not required.
3. Full-Book AI Tone Removal: Processes the entire book to remove AI writing styles, rather than making ad-hoc chapter-by-chapter fixes.
4. Scan Risks per Fanqie Audit Rules: Runs a check against platform audit rules before splitting, exposing potential risk points.
5. Slice Daily Batch: Controls the splitting granularity to ensure the daily batch does not exceed 10,000 characters.
6. Store in Outbox: The sliced batch is placed in the outbox, awaiting upload.
7. Auto-login and Publish: provided the browser is connected, it automatically logs into the Fanqie Author Backend, pastes the outbox content, and publishes it.

Installation and Activation¶

The scraped data does not provide installation commands or directory conventions, nor does it explain whether there are differences between Cursor, Codex CLI, and Claude Code; therefore, commands are not fabricated. Please refer to the official page for acquisition:

https://api.skillhub.cn/user_170e8f72/novel-daily-publisher

Page:

https://www.skillhub.cn/skills/user_170e8f72/novel-daily-publisher

Known integration constraints: requires_api_key=false, so no separate API Key preparation is needed; the publishing step relies on an established browser session. If the browser is not connected, the batch will remain in the outbox and will not be uploaded automatically.

Typical Usage¶

Follow the workflow described in the official introduction:

1. Prepare the completed novel and ensure the full text is readable.
2. Determine if audit-pass refactoring is needed. If required, enable refactoring to handle structural issues like “smut/harem” content first; otherwise, skip this step.
3. Run the full-book AI tone removal to get the processed result for the entire book.
4. Scan for risks using Fanqie audit rules to identify potential blockages.
5. Slice the daily batch, ensuring a single batch does not exceed 10,000 characters.
6. Write the batch to the outbox.
7. Ensure the browser is connected to trigger automatic login to the Author Backend, pasting, and publishing.

The goal of this entire pipeline is to establish an automated task for “producing and uploading Fanqie novels at a set time every day,” rather than running through a book only once.

Applicable Scenarios and Notes¶

Suitable for writing or studio scenarios that have a stockpile of completed works and require a stable daily update rhythm, especially where batch processing of audit risks and AI tone removal is necessary.

Points to note:

1. Audit-pass refactoring only addresses structural flaws; it does not guarantee bypassing platform audits. The actual audit result remains subject to the platform.
2. Automatic uploading depends on a connected browser. If the browser is not connected, the batch only lands in the outbox, and publishing will not occur, requiring manual confirmation.
3. The daily batch limit is 10,000 characters. Over-length content will be split. Whether the splitting points meet expectations should be verified after integration.
4. With 0 installs and a rating of 100,000, this indicates a newly published community entry. It is recommended to verify the splitting and publishing behavior on a small-scale manuscript before full integration.
5. The scraped data does not specify the browser automation solution used or the specific configuration fields. This part needs to be confirmed on the official page before supplementing.

Conclusion¶

The value of this Skill lies in consolidating “refactoring, AI tone removal, risk scanning, splitting, and uploading” into a single scheduled pipeline, freeing humans from chapter-by-chapter搬运 and monitoring the backend. The shortcomings are that publishing strongly depends on a browser connection, and the community edition documentation is incomplete, requiring self-verification of configuration items.

Official Address: https://api.skillhub.cn/user_170e8f72/novel-daily-publisher