omnisearch

omnisearch is a skill for Claude Code, Codex from tdimino/claude-code-minoan. It costs 100 tokens per session (3,231 once invoked), scanned A, original, MIT.

A single search tool that combines several web, news, semantic, scraping, and social-media search providers. It chooses a provider for a query or searches several providers and removes duplicate results.

In plain words
What is it for?
Use it to search the web and social media, find news, discover similar pages, scrape results, and gather research from multiple providers.
Why use it?
It avoids having to learn and call separate search services for different sources. It can bring together regular web pages, research papers, news, and posts from sites such as X and Reddit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; positional $N argument.

Good fit Use it to search the web and social media, find news, discover similar pages, scrape results, and gather research from multiple providers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tdimino/claude-code-minoan/omnisearch
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 tdimino/claude-code-minoan --skill omnisearch
Clone the repo
git clone --depth 1 https://github.com/tdimino/claude-code-minoan

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 omnisearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/omnisearch/github.svg)](https://agentmods.dev/skills/tdimino/claude-code-minoan/omnisearch)
Your own site
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/omnisearch"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/omnisearch/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 omnisearch

Your own site · 80×15
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/omnisearch"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/omnisearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,231 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 210
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Agent Snooping · line 35
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00100 $0.03231
Opus 5 $0.00050 $0.01615
Sonnet 5 $0.00020 $0.00646
Haiku 4.5 $0.00010 $0.00323

Measured 8d ago against content hash 002d8f669908, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

omnisearch 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 8d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/brave_search.py, scripts/omnisearch.py, scripts/tavily_search.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/research/omnisearch/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Omnisearch Skill

Unified search across 5 providers — Brave (Google SERP), Tavily (agent-native answers), Xpoz (social media), Exa (neural/semantic), and Firecrawl (scraping). Auto-classifies queries and routes to the best provider, or runs parallel searches across all with deduplication.

Prerequisites: At least one API key set. See API Key Setup.

Coverage Map

Surface Provider Strength Cost
Google SERP Brave Web + news, freshness filtering, LLM Context API $5/1k
Agent answers Tavily AI-synthesized answers with citations, content extraction Free 1k/mo
Twitter/X Xpoz Tweet search, user timelines, threads, hashtags Free 100k/mo
Reddit Xpoz Post search, subreddit browsing, trending Free 100k/mo
Instagram Xpoz Post search, user profiles Free 100k/mo
Neural/semantic Exa (cross-skill) Research papers, companies, similar pages Per-query
Web scraping Firecrawl (cross-skill) Search + scrape, site crawling Per-page

Same principle as Exa's dynamic filtering — search cheaply, filter, then extract selectively.

DO:

# Step 1: Multi-provider search, titles/URLs only
python3 ~/.claude/skills/omnisearch/scripts/omnisearch.py "query" --parallel --no-text

# Step 2: Evaluate titles, pick best URLs

# Step 3: Extract selected URLs
python3 ~/.claude/skills/exa-search/scripts/exa_contents.py URL1 URL2 --highlights --max-chars 3000
# OR
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py scrape URL --only-main-content

DON'T: Run --parallel with full text for 40+ results, then reason over all of it.

Available Scripts

1. omnisearch.py — Meta-Router (start here)

Auto-classifies queries and dispatches to the best provider. Supports forced provider, parallel search, and social mode.

python3 ~/.claude/skills/omnisearch/scripts/omnisearch.py "query" [options]
Quick Example Purpose
... omnisearch.py "Iran oil sanctions" Auto-route to best provider
... omnisearch.py "query" --provider brave Force specific provider
... omnisearch.py "query" --parallel All web providers, merged + deduped
... omnisearch.py "query" --social Twitter search via Xpoz
... omnisearch.py "query" --social --platform reddit Reddit search
... omnisearch.py "query" --answer AI-generated answer (Tavily/Brave)
... omnisearch.py "query" --news --parallel News from all providers
... omnisearch.py "query" --academic Route to Exa academic index
... omnisearch.py "query" --verbose Show routing decisions on stderr

Read the full file on GitHub · 253 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. 8d ago First seen · 253 lines · 100 tokens per session scan A 002d8f669908

Subscribe to this mod's changes

omnisearch is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 100 tokens to every session and 3,231 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 2026-09-03.

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