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Autosearch

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

33estrelas
Atualizado há 3 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add 0xmariowu/Autosearch

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[![Skillteca](https://www.skillteca.com.br/api/badge/autosearch-mrqbfvaw/svg)](https://www.skillteca.com.br/skills/autosearch-mrqbfvaw)
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Ler descrição completa

Skill Attribution

Source: self-written for task F201.

name: devto description: Developer blog articles tagged by technology topic, via the public dev.to API. version: 1 languages: [en, mixed] methods:

  • id: api_search

impl: methods/api_search.py requires: [] rate_limit: {per_min: 30, per_hour: 500} fallback_chain: [api_search] when_to_use: query_languages: [en, mixed] query_types: [tutorial, how-to, experience-report, tech-blog] domain_hints: [software, web-dev, devops] quality_hint: typical_yield: medium chinese_native: false layer: leaf domains: [community-en] scenarios: [developer-article, tutorial, experience-share] model_tier: Fast experience_digest: experience.md

Overview

dev.to adds developer-written tutorials, how-to guides, experience reports, and opinionated engineering posts through its public article API. It is useful when the query benefits from practitioner blog content rather than docs, Q&A, or source repositories, especially for technology-tagged topics in software, web development, and DevOps.

Known Quirks

  • The public API is tag-based, not keyword-based, so query.text must be passed as tag= and broad free-text recall is limited.
  • List responses only include description, not full article bodies, so evidence content is snippet-grade rather than complete post text.
  • Public read access is comparatively generous, but this channel still uses a conservative fixed rate limit.

Quality Bar

  • Evidence items have non-empty title and url.
  • No crash on empty or malformed API response.
  • Source channel field matches the channel name.
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