deep-search

deep-search is a skill for Claude Code, Codex from TasiTech/tasi-harness. It costs 105 tokens per session (2,611 once invoked), scanned A, original, MIT.

A deep-search workflow for researching the web through browser-based searches across several search engines. It gathers possible sources, removes duplicates, opens relevant pages, and records evidence from them.

In plain words
What is it for?
Use it for deep searches, finding sources, researching current information, and collecting page evidence for a later answer.
Why use it?
It is useful when one search engine or one result is not enough to answer a question reliably. Comparing sources helps with discovery and current web research.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it for deep searches, finding sources, researching current information, and collecting page evidence for a later answer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tasitech/tasi-harness/deep-search
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 TasiTech/tasi-harness --skill deep-search
Clone the repo
git clone --depth 1 https://github.com/TasiTech/tasi-harness

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 deep-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/tasitech/tasi-harness/deep-search/github.svg)](https://agentmods.dev/skills/tasitech/tasi-harness/deep-search)
Your own site
<a href="https://agentmods.dev/skills/tasitech/tasi-harness/deep-search"><img src="https://agentmods.dev/badge/skills/tasitech/tasi-harness/deep-search/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 deep-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/tasitech/tasi-harness/deep-search"><img src="https://agentmods.dev/badge/skills/tasitech/tasi-harness/deep-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,611 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00105 $0.02611
Opus 5 $0.00053 $0.01306
Sonnet 5 $0.00021 $0.00522
Haiku 4.5 $0.00011 $0.00261

Measured 9d ago against content hash 548ab1c0939d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deep-search 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.

resources/skills/browser/deep-search/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this skill to run browser-backed research across search engines, collect candidate result links, de-duplicate sources, open the most relevant pages, and gather browser_snapshot / browser_extract evidence for downstream answering.

This workflow works in visible or headless external CDP mode. In headless mode, rely on browser_snapshot, browser_extract, browser_screenshot, and page state instead of visual browser inspection.

Search Engines

Choose engines by task and network conditions:

  • Broad/default: Bing https://www.bing.com/search?q=<query>&count=10
  • International: Google https://www.google.com/search?q=<query>&num=10, Google HK https://www.google.com.hk/search?q=<query>&num=10, DuckDuckGo https://duckduckgo.com/html/?q=<query>, Brave https://search.brave.com/search?q=<query>
  • Chinese/China-local: Baidu https://www.baidu.com/s?wd=<query>, Bing CN https://cn.bing.com/search?q=<query>&ensearch=0, 360 https://www.so.com/s?q=<query>, Sogou https://www.sogou.com/web?query=<query>, WeChat via Sogou https://weixin.sogou.com/weixin?type=2&query=<query>, Toutiao https://so.toutiao.com/search?keyword=<query>, Quark https://quark.sm.cn/s?q=<query>&from=smor&safe=1
  • Finance/news direct leads when search results are thin: Sina Finance, Eastmoney, Tencent Finance, official exchanges/regulators, company IR pages, government/academic sources.

Use more than one engine when coverage matters, results look thin, the topic may differ across regions/languages, or one engine is blocked. For Chinese-language or China-local queries, try Bing CN plus Baidu/Sogou/360/Toutiao. For international queries, try Bing plus Google or DuckDuckGo/Brave. Treat search-engine AI summaries as leads, not evidence.

Robust Browsing Pattern

  • Open each search URL with browser_open, then browser_wait for load state, result text, or known result selectors.
  • Use a normal desktop viewport with browser_viewport when responsive/mobile layouts hide links.
  • After initial load, use one small browser_scroll to trigger lazy results, then wait briefly before extracting.
  • If an engine returns zero usable organic links, captcha/interstitial content, consent-only content, or regional blocking, record it and switch engines. Do not try to bypass captchas, paywalls, login walls, or explicit access controls.
  • Prefer visible or headless CDP browser tools over raw network fetching because search pages often need JavaScript, redirects, and accessibility-aware link inspection.

Read the full file on GitHub · 164 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 · 164 lines · 105 tokens per session scan A 548ab1c0939d

Subscribe to this mod's changes

deep-search is a skill published in the GitHub repository TasiTech/tasi-harness (11 stars, last pushed 4d ago), licensed MIT. It adds 105 tokens to every session and 2,611 once invoked, about $0.0005 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 2026-08-30.

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