opensearch

opensearch is a skill for Cursor from girijashankarj/cursor-handbook. It costs 35 tokens per session (192 once invoked), scanned A, original, MIT.

A workflow guide for using OpenSearch or Elasticsearch, tools that store and search large collections of data. It covers how to organize data, write searches, and adjust search settings.

In plain words
What is it for?
Use it to design data mappings, write full-text searches and filters, review aggregations, and tune search operations. It can also guide basic index maintenance and sizing decisions.
Why use it?
It helps avoid poorly structured indexes and ineffective or unsafe search queries. It also keeps connection details and credentials out of code.

Skill for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to design data mappings, write full-text searches and filters, review aggregations, and tune search operations. It can also guide basic index maintenance and sizing decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/girijashankarj/cursor-handbook/opensearch
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 girijashankarj/cursor-handbook --skill opensearch
Clone the repo
git clone --depth 1 https://github.com/girijashankarj/cursor-handbook

Made for: Cursor.

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 opensearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/girijashankarj/cursor-handbook/opensearch/github.svg)](https://agentmods.dev/skills/girijashankarj/cursor-handbook/opensearch)
Your own site
<a href="https://agentmods.dev/skills/girijashankarj/cursor-handbook/opensearch"><img src="https://agentmods.dev/badge/skills/girijashankarj/cursor-handbook/opensearch/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 opensearch

Your own site · 80×15
<a href="https://agentmods.dev/skills/girijashankarj/cursor-handbook/opensearch"><img src="https://agentmods.dev/badge/skills/girijashankarj/cursor-handbook/opensearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 192 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 $0.00035 $0.00192
Opus 5 $0.00017 $0.00096
Sonnet 5 $0.00007 $0.00038
Haiku 4.5 $0.00003 $0.00019

Measured 7d ago against content hash 73c053ec9749, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

opensearch 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 7d 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.

.cursor/skills/cloud/opensearch/SKILL.md · 21 lines

What it actually says

Skill: OpenSearch

Trigger

When the user asks about OpenSearch/Elasticsearch indexing, search queries, or mapping design.

Steps

  1. Clarify — Identify use case (full-text search, filters, aggregations, logging).
  2. Mapping — Propose or review index mapping (keyword vs text, date, nested) per use case.
  3. Query — Write or adjust query (query DSL or simple term/match); prefer parameterized inputs.
  4. Operational — Mention index lifecycle, refresh, and sizing if relevant.

Rules

  • Do not expose real cluster URLs or credentials; use placeholders.
  • Follow project security rules (no secrets in code, env vars for endpoints).
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. 7d ago First seen · 21 lines · 0 tokens per session scan A 73c053ec9749

Subscribe to this mod's changes

opensearch is a skill published in the GitHub repository girijashankarj/cursor-handbook (30 stars, last pushed 11d ago), licensed MIT. It adds 35 tokens to every session and 192 once invoked, about $0.0002 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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