dsh-toutiao-reader
Run the following command in DeepSeek Harness:
dsh plugin install RyanShen3/dsh-toutiao-reader
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install RyanShen3/dsh-toutiao-reader in DeepSeek Harness to install this plugin; source code is available at https://github.com/RyanShen3/dsh-toutiao-reader
About this plugin
The static HTML behind a Toutiao article is gated by a three-layer anti-bot stack (__ac_nonce, __ac_signature, acrawler). A plain fetch lands on a security-verification page, and a search tool returns nothing but a one-line snippet. dsh-toutiao-reader packages a headless-browser fetching pipeline into a DeepSeek Harness plugin: hand it an article URL and it gives back the title plus the full plain-text body.
The plugin ships two pieces. The webfetch tool drives a resident Edge or Chrome instance over CDP, reusing a single tab per request. It exposes maxChars for truncation, outfile for saving to disk, and always returns an error field on failure instead of throwing, so the main flow never breaks. The bundled toutiao-reader skill doc walks the model through URL-form recognition, challenge-page retry pacing, troubleshooting video and Q&A and App-interstitial pages, managing the resident browser process, and falling back to the raw script path.
It is aimed at developers who need to read Toutiao articles reliably inside an agent workflow and occasionally pull content from blogs or news sites as well. The plugin is read-only, stores no credentials, binds to localhost only, and requires nothing more than a local Edge or Chrome and Node 20+ to run.
Screenshots
Use Cases
- Reading full Toutiao article text inside an agent workflow for summarization or analysis
- Bypassing anti-bot verification to extract title and plain-text body
- Fetching blog or news-site article text and saving it to disk via outfile
Best For
- Developers building content-analysis agents in DeepSeek Harness
- Automation-script authors who need reliable Toutiao article text
- AI-app engineers dealing with web anti-bot challenges
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