Agent Skillsopensquilla/opensquilla › awesome-webpage-research

awesome-webpage-research

GitHub

为AwesomeWebpageMetaSkill提供轻量级单次网页研究,生成包含引用来源的简短主题简报。通过3-5个子问题进行一次受限搜索,提炼关键事实与页面锚点,旨在为网页规划提供事实依据,非深度研究替代品。

src/opensquilla/skills/bundled/awesome-webpage-research/SKILL.md opensquilla/opensquilla

Trigger Scenarios

需要为网页章节快速构建事实锚点时 作为AwesomeWebpageMetaSkill的子任务执行单次主题调研时

Install

npx skills add opensquilla/opensquilla --skill awesome-webpage-research -g -y
More Options

Non-standard path

npx skills add https://github.com/opensquilla/opensquilla/tree/main/src/opensquilla/skills/bundled/awesome-webpage-research -g -y

Use without installing

npx skills use opensquilla/opensquilla@awesome-webpage-research

指定 Agent (Claude Code)

npx skills add opensquilla/opensquilla --skill awesome-webpage-research -a claude-code -g -y

安装 repo 全部 skill

npx skills add opensquilla/opensquilla --all -g -y

预览 repo 内 skill

npx skills add opensquilla/opensquilla --list

SKILL.md

Frontmatter
{
    "name": "awesome-webpage-research",
    "homepage": "",
    "metadata": {
        "opensquilla": {
            "risk": "medium",
            "requires": {
                "env": [],
                "bins": []
            },
            "capabilities": [
                "network-read"
            ]
        }
    },
    "provenance": {
        "origin": "opensquilla-original",
        "license": "Apache-2.0",
        "maintained_by": "OpenSquilla"
    },
    "description": "Single-pass mini research for AwesomeWebpageMetaSkill: produce a short cited topic brief from one bounded web-search round. Not a general deep-research replacement.",
    "user-invocable": false,
    "disable-model-invocation": true
}

Awesome Webpage Research (mini)

Lightweight, single-pass topic research used only by AwesomeWebpageMetaSkill. Produce a concise topic brief with a short citation list so the page planner has factual anchors. This is not a replacement for the bundled deep-research skill; do not invoke it for general literature reviews or multi-round investigations.

Inputs

The caller supplies:

  • question: the topic, audience, language, style, and webpage context to research.

Protocol

Single round. Three steps. No iteration, no plan.json, no state file.

  1. Identify 3-5 focused sub-questions that the page planner needs answered to ground page sections. Cover what the topic is, why it matters, key facts, common misconceptions, and at most one stat or date anchor. Do not exceed 5 sub-questions.
  2. Run one bounded web-search round: at most one search query per sub-question. Use web-search for every language. Prefer recent, reputable sources. Stop at one usable source per sub-question; do not chase broader coverage and do not run a second round.
  3. Compile a single brief (target ~300-500 words) containing:
    • one paragraph topic summary
    • one paragraph "key facts" with inline [1]-style citation tags
    • a Sources list of 3-5 entries formatted as [n] Title — URL
    • a final Page anchors: line listing 3-5 short phrases that can become section headings or callouts on the webpage

Rules

  • Do not iterate. One search round, one synthesis pass. Return as soon as the brief is written.
  • Do not fetch full articles. Use search snippets; perform at most one quick fetch per sub-question if a snippet is unusable.
  • Do not invent citations. Every [n] must map to a source in the Sources list. If a source cannot be cited, drop the claim instead of fabricating one.
  • Do not produce a multi-page literature review. Cap the brief at ~500 words.
  • Do not search for images, audio, or video media here; media acquisition is handled by other meta-skill steps.
  • Do not call deep-research, summarize, or any meta-skill from this step.
  • If the search round returns nothing usable, prepend a single line RESEARCH_THIN to the brief and continue with a question-only summary without inventing citations or sources.

Output

Return only the brief text. No methodology notes, no per-source commentary, no JSON wrapper. The caller will truncate this output before feeding it to the page planner.

Version History

  • 7f72a32 Current 2026-07-05 18:38

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Version
7f72a32
Hash
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Indexed
2026-07-05 18:38

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