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.
npx skills add Bilal140202/the-lord-of-the-skills --skill bronc-x__lotusgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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.
[](https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/bronc-x__lotus)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/bronc-x__lotus"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/bronc-x__lotus/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.
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/bronc-x__lotus"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/bronc-x__lotus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.02700 |
| Opus 5.5 | $0.00010 | $0.01080 |
| Sonnet 5.5 | $0.00005 | $0.00540 |
| Haiku 4.5 | $0.00002 | $0.00270 |
Grade A, and why
anysearch 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 1mo 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.
This is a copy
89% identical to anysearch — 45 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
AnySearch is a unified real-time search service supporting general web search, vertical domain search, parallel batch search, and full-page content extraction. It exposes a single JSON-RPC 2.0 endpoint and requires no MCP server installation. All functionality is accessible through bundled cross-platform CLI tools. Use the configured runtime directly for routine search, batch_search, extract, and get_sub_domains calls; run the doc command only when the CLI interface is unknown or recovery information is needed (see Recommended Entry Point).
Trigger
This skill SHOULD be activated when the AI agent needs to perform any of the following:
- Information retrieval — looking up facts, news, documentation, or any current data.
- Fact-checking — verifying claims, cross-referencing statements.
- Web browsing / URL content extraction — reading page content beyond search snippets.
- Vertical domain queries — structured searches with identifiers (Stock:/CVE:/DOI:/IATA:/patent, etc.).
- Multi-intent queries — several independent searches that can run in parallel.
Vertical domain rule: The DEFAULT search path is Path 2 (vertical). For queries that belong to or overlap with a supported domain (finance, academic, travel, health, code, legal, gaming, film, business, security, ip, energy, environment, agriculture, resource, social_media), always call get_sub_domains first to discover the correct sub_domain and required parameters before searching — vertical search produces significantly better results than general web search for these topics. Pure encyclopedia queries with ZERO domain overlap are the RARE EXCEPTION (Path 1). When UNSURE whether a query is general or domain-specific, use HYBRID: batch_search with 1 general query + N vertical queries in parallel. Coverage beats guessing.
Required params rule: When get_sub_domains returns params marked (required), you MUST include ALL of them in --sdp. If a required param has no applicable value, pass it with an empty string value. Omitting a required param will cause a backend validation error. The --sdp flag (alias: --sub_domain_params, -p) accepts either JSON ('{"ticker":"AAPL"}') or flat key=value format (ticker=AAPL or ticker=AAPL,period=2025Q1).
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.
- 1mo ago First seen · 183 lines · 24 tokens per session scan A 749987ba3c28
anysearch is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 2,700 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to anysearch, differing in 45 lines, and is treated as a copy.
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