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.
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 elastic/agent-skills --skill elasticsearch-esqlgit clone --depth 1 https://github.com/elastic/agent-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/elastic/agent-skills/elasticsearch-esql)<a href="https://agentmods.dev/skills/elastic/agent-skills/elasticsearch-esql"><img src="https://agentmods.dev/badge/skills/elastic/agent-skills/elasticsearch-esql/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/elastic/agent-skills/elasticsearch-esql"><img src="https://agentmods.dev/badge/skills/elastic/agent-skills/elasticsearch-esql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
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 Prompt Injection · line 22 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.
- medium Prompt Injection · line 32 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.
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 | $0.00047 | $0.05951 |
| Opus 5 | $0.00023 | $0.02975 |
| Sonnet 5 | $0.00009 | $0.01190 |
| Haiku 4.5 | $0.00005 | $0.00595 |
Grade A, and why
elasticsearch-esql 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- elasticsearch-esql — 100% identical, 0 lines differ
- elasticsearch-esql — 92% identical, 257 lines differ
How it starts
The opening of the file, as written. The whole thing — 458 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elasticsearch ES|QL
Execute ES|QL queries against Elasticsearch: discover the schema, choose the right ES|QL feature for the task, generate the simplest correct query, and run it.
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.
What is ES|QL?
ES|QL (Elasticsearch Query Language) is a piped query language for Elasticsearch. It is NOT the same as:
- Elasticsearch Query DSL (JSON-based)
- SQL
- EQL (Event Query Language)
ES|QL uses pipes (|) to chain commands:
FROM index | WHERE condition | STATS aggregation BY field | SORT field | LIMIT n
Prerequisite: ES|QL requires
_sourceto be enabled on queried indices. Indices with_sourcedisabled (e.g.,"_source": { "enabled": false }) will cause ES|QL queries to fail.Version Compatibility: ES|QL was introduced in 8.11 (tech preview) and became GA in 8.14. Features like
LOOKUP JOIN(8.18+),MATCH(8.17+), andINLINE STATS(9.2+) were added in later versions. On pre-8.18 clusters, useENRICHas a fallback forLOOKUP JOIN(see generation tips).INLINE STATSand counter-fieldRATE()have no fallback before 9.2. Check references/esql-version-history.md for feature availability by version.Cluster Detection: Call
GET /to determine the cluster type and version:
build_flavor: "serverless"— Elastic Cloud Serverless.version.numbertracks the stack line under active development (next minor from main), so clients that only semver-compare may treat Serverless as “latest.” Do not useversion.numberto gate features: ifbuild_flavoris"serverless", assume all GA and preview ES|QL features are available.build_flavor: "default"— Stack (self-managed or Cloud-hosted). Useversion.numberfor feature availability.- Snapshot builds have
version.numberlike9.4.0-SNAPSHOT. Strip the-SNAPSHOTsuffix and use the major.minor for version checks. Snapshot builds include all features from that version plus potentially unreleased features from development — if a query fails with an unknown function/command, it may simply not have landed yet. Elastic employees commonly use snapshot builds for testing.
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.
- references/dsl-to-esql-migration.md 20 KB
- references/esql-reference.md 76 KB
- references/esql-search-strategy.md 10 KB
- references/esql-search.md 25 KB
- references/esql-version-history.md 31 KB
- references/generation-tips.md 26 KB
- references/promql-command.md 15 KB
- references/query-approximation.md 11 KB
- references/query-patterns.md 15 KB
- references/time-series-queries.md 31 KB
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.
- 5d ago Changed · -3 lines 08b9b5bee444
- 10d ago First seen · 461 lines · 47 tokens per session scan A 25e991e11cf3
elasticsearch-esql is a skill published in the GitHub repository elastic/agent-skills (574 stars, last pushed 5d ago), licensed Apache-2.0. It adds 47 tokens to every session and 5,951 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 2026-08-30.
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