elasticsearch-ingest

elasticsearch-ingest is a skill for Claude Code from elastic/agent-skills. It costs 72 tokens per session (2,503 once invoked), scanned A, original, Apache-2.0.

A procedure for loading CSV or JSON files into Elasticsearch, a search and analytics database. It converts the files to the database's bulk format, creates mappings when field types matter, imports the documents, and verifies the result.

In plain words
What is it for?
Use it for batch-importing local CSV files, JSON arrays, or JSON objects into an Elasticsearch index. It also helps prepare bulk requests and confirm that the imported index is correct.
Why use it?
Manual imports can use the wrong field types or produce incomplete data. This procedure makes the file-to-index steps explicit and checks document counts and mappings afterward.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the elastic-elasticsearch plugin — 10 skills shipped together

Good fit Use it for batch-importing local CSV files, JSON arrays, or JSON objects into an Elasticsearch index. It also helps prepare bulk requests and confirm that the imported index is correct.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/elastic/agent-skills/elasticsearch-ingest
About the project

Elastic Agent Skills is a library of instruction packages that teach AI coding agents how to work with Elastic products, including Elasticsearch, Kibana, Elastic Observability, and Elastic Security. Developers use the skills for tasks such as API work, Kibana content management, observability, and security workflows. The catalogue entries are skills and plugins from this library.

elastic/agent-skills · 574 stars · on GitHub

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 elastic/agent-skills --skill elasticsearch-ingest
Clone the repo
git clone --depth 1 https://github.com/elastic/agent-skills

Made for: Claude Code.

Or install elastic-elasticsearch, the plugin that ships this one along with the rest of its 10 skills.

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 elasticsearch-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/elastic/agent-skills/elasticsearch-ingest/github.svg)](https://agentmods.dev/skills/elastic/agent-skills/elasticsearch-ingest)
Your own site
<a href="https://agentmods.dev/skills/elastic/agent-skills/elasticsearch-ingest"><img src="https://agentmods.dev/badge/skills/elastic/agent-skills/elasticsearch-ingest/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 elasticsearch-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/elastic/agent-skills/elasticsearch-ingest"><img src="https://agentmods.dev/badge/skills/elastic/agent-skills/elasticsearch-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,503 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: 4 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 Prompt Injection · line 23
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Tool Misuse · line 84
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 186
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Prompt Injection · line 33
    Subtle instructions detected that may alter agent decision-making or introduce hidden biases.
    Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 $0.00072 $0.02503
Opus 5 $0.00036 $0.01252
Sonnet 5 $0.00014 $0.00501
Haiku 4.5 $0.00007 $0.00250

Measured 5d ago against content hash fd03c9f5a3c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

elasticsearch-ingest 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 5d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/elasticsearch/skills/elasticsearch-ingest/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Elasticsearch File Ingest

Load local data files into Elasticsearch by converting them to bulk NDJSON, creating an index with the right mappings when types matter, bulk-indexing documents, and verifying the outcome.

Environment Configuration

This skill executes Elasticsearch operations through the elastic CLI. If the elastic CLI is not installed, tell the user what it is needed for. Do not guess credentials, call the HTTP API directly, or attempt other workarounds.

This skill references operations in HTTP-shorthand form (e.g., GET /, GET /_cat/indices, GET /{index}/_mapping, GET /{index}/_settings/index.mode, POST /_query). The Operations table at the end of this document maps each shorthand to the equivalent elastic CLI command — always use the CLI rather than calling the HTTP API directly.

Scope

This skill covers file → index loading through POST /_bulk. It does not use Logstash, Filebeat, Elastic Agent, Node.js ingest tools, or other sidecar pipelines. For copying documents between existing indices, use index-to-index reindex instead of re-parsing source files.

Supported source shapes:

Source shape Example Bulk requirement
CSV with header row id,name,age,... then data rows Parse header into field names; emit one action line + one JSON object per data row
JSON array file [{"a":1},{"a":2}] Split into per-document lines — never bulk-load the raw array as a single document
NDJSON / JSON Lines one JSON object per line Optionally add action lines if missing; otherwise ready for bulk

Parquet, Arrow, and other binary columnar formats are out of scope unless the user converts them to CSV or JSON first.

Read the full file on GitHub · 190 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 190 lines · 72 tokens per session scan A fd03c9f5a3c2

Subscribe to this mod's changes

elasticsearch-ingest is a skill published in the GitHub repository elastic/agent-skills (574 stars, last pushed 5d ago), licensed Apache-2.0. It adds 72 tokens to every session and 2,503 once invoked, about $0.0004 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 2026-09-05.

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