content-search-summarization

content-search-summarization is a skill for Claude Code, Codex from AllenS0104/skill-browser. It costs 60 tokens per session (1,712 once invoked), scanned A, original, MIT.

A workflow for searching public platforms such as YouTube or Bilibili, choosing the most relevant results, and summarizing them with links and brief overviews.

In plain words
What is it for?
Use it to find and summarize videos or other public content, rank results by relevance, and include links with cautious confidence notes.
Why use it?
It provides a decision process for choosing between available command-line tools, APIs, page fetching, and browser access based on how a platform can be reached.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find and summarize videos or other public content, rank results by relevance, and include links with cautious confidence notes.

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Install with agentmods
npx agentmods add skills/allens0104/skill-browser/content-search-summarization
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AllenS0104/skill-browser --skill content-search-summarization
Clone the repo
git clone --depth 1 https://github.com/AllenS0104/skill-browser

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-search-summarization

README.md
[![agentmods](https://agentmods.dev/badge/skills/allens0104/skill-browser/content-search-summarization/github.svg)](https://agentmods.dev/skills/allens0104/skill-browser/content-search-summarization)
Your own site
<a href="https://agentmods.dev/skills/allens0104/skill-browser/content-search-summarization"><img src="https://agentmods.dev/badge/skills/allens0104/skill-browser/content-search-summarization/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-search-summarization

Your own site · 80×15
<a href="https://agentmods.dev/skills/allens0104/skill-browser/content-search-summarization"><img src="https://agentmods.dev/badge/skills/allens0104/skill-browser/content-search-summarization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,712 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01712
Opus 5 $0.00030 $0.00856
Sonnet 5 $0.00012 $0.00342
Haiku 4.5 $0.00006 $0.00171

Measured 9d ago against content hash 9af386b0a158, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

content-search-summarization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/content-search-summarization/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content search summarization skill

Use this skill when the user asks for tasks such as:

  • "Find the top 5 videos about X on Bilibili and summarize them"
  • "Search YouTube for a topic and give me the best results"
  • "Look up public content on a supported site and summarize the top items"

Execution routing (critical)

Before attempting any search, classify the platform and pick the best execution path:

if opencli supports the platform:
    use opencli (deterministic, zero LLM cost, session-reuse)
elif public API exists:
    use fetch (structured JSON, no rendering needed)
elif site is SSR and publicly accessible:
    use web_fetch or Playwright (metadata extraction)
else:
    require login-state browser or declare blocked

This is the single most important decision in this skill.

Platform registry

Platform opencli command Public API SSR fetch Access tier
Bilibili opencli bilibili search --keyword <kw> api.bilibili.com partial T1: opencli preferred
YouTube opencli youtube search --keyword <kw> YouTube Data API partial T1: opencli preferred
小红书 opencli xiaohongshu search --keyword <kw> ❌ SPA shell T2: opencli required
抖音 opencli tiktok search --keyword <kw> ❌ JS obfuscated T2: opencli required
知乎 opencli zhihu search --keyword <kw> ❌ login-gated T2: opencli required
微博 opencli weibo search --keyword <kw> T2: opencli required
豆瓣 opencli douban search --keyword <kw> partial T2: opencli preferred
arXiv export.arxiv.org ✅ SSR T3: fetch / web_fetch
Wikipedia opencli wikipedia search --keyword <kw> en.wikipedia.org/api ✅ SSR T1: any path works
HackerNews opencli hackernews top hn.algolia.com/api ✅ SSR T1: any path works
Reddit opencli reddit search --keyword <kw> partial T1: opencli preferred
BBC opencli bbc news ✅ SSR T3: fetch / web_fetch

Read the full file on GitHub · 202 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 202 lines · 60 tokens per session scan A 9af386b0a158

Subscribe to this mod's changes

content-search-summarization is a skill published in the GitHub repository AllenS0104/skill-browser (5 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 1,712 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.