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 Kilo-Org/kilo-marketplace --skill elasticsearch-file-ingestgit clone --depth 1 https://github.com/Kilo-Org/kilo-marketplaceWrote 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/kilo-org/kilo-marketplace/elasticsearch-file-ingest)<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/elasticsearch-file-ingest"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/elasticsearch-file-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.
<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/elasticsearch-file-ingest"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/elasticsearch-file-ingest.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 | $0.00057 | $0.02643 |
| Opus 5 | $0.00028 | $0.01321 |
| Sonnet 5 | $0.00011 | $0.00529 |
| Haiku 4.5 | $0.00006 | $0.00264 |
Grade C, and why
elasticsearch-file-ingest scanned grade C with 1 finding 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.
Harvests environment variableshighData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
whose output would expose secret values (e.g., `echo $ELASTICSEARCH_API_KEY`, `env | grep KEY`, `printenv`). Exporting How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elasticsearch File Ingest
Stream-based ingestion and transformation of large data files (NDJSON, CSV, Parquet, Arrow IPC) into Elasticsearch.
Features & Use Cases
- Stream-based: Handle large files without running out of memory
- High throughput: 50k+ documents/second on commodity hardware
- Formats: NDJSON, CSV, Parquet, Arrow IPC
- Transformations: Apply custom JavaScript transforms during ingestion (enrich, split, filter)
- Batch processing: Ingest multiple files matching a pattern (e.g.,
logs/*.json) - Document splitting: Transform one source document into multiple targets
Prerequisites
- Elasticsearch 8.x or 9.x accessible (local or remote)
- Node.js 22+ installed
Setup
This skill is self-contained. The scripts/ folder and package.json live in this skill's directory. Run all commands
from this directory. Use absolute paths when referencing data files located elsewhere.
Before first use, install dependencies:
npm install
Environment Configuration
Elasticsearch connection is configured by users exclusively via environment variables. Never pass credentials as command-line arguments. If the test fails, output the setup options below to the user, then stop. Do not proceed with ingestion until a successful connection test.
Option 1: Elastic Cloud (recommended for production)
export ELASTICSEARCH_CLOUD_ID="<your-cloud-id>"
export ELASTICSEARCH_API_KEY="<your-api-key>"
Option 2: Direct URL with API Key
export ELASTICSEARCH_URL="https://elasticsearch:9200"
export ELASTICSEARCH_API_KEY="<your-api-key>"
Option 3: Basic Authentication
export ELASTICSEARCH_URL="https://elasticsearch:9200"
export ELASTICSEARCH_USERNAME="<your-username>"
export ELASTICSEARCH_PASSWORD="<your-password>"
Option 4: Local Development
For local development and testing, see Run Elasticsearch locally to spin up Elasticsearch and Kibana. After setup, export the connection variables (URL and API key or credentials) as shown in Option 2 or Option 3 above.
What ships with it
10 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.
- examples/mappings.json 375 B
- examples/skip-transform.js 863 B runs code
- examples/split-transform.js 740 B runs code
- examples/transform.js 925 B runs code
- LICENSE 11 KB
- local.patch 1.5 KB
- package.json 393 B
- references/patterns.md 1.6 KB
- references/troubleshooting.md 2.1 KB
- scripts/ingest.js 17 KB runs code
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.
- 9d ago First seen · 351 lines · 57 tokens per session scan C 8b5f57196499
elasticsearch-file-ingest is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 22d ago), licensed Apache-2.0. It adds 57 tokens to every session and 2,643 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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