Agent skill · Audited from source
kibana-agent-builder
skill · elastic/agent-skillsApache-2.0 licenceAudited 29 Oct 2026 · source 30fcdedc45a1
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 30fcdedc45a1 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Create and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools…
Cite
Cite this page
ModelsAtlas. “kibana-agent-builder (elastic/agent-skills)”. Retrieved 29 Oct 2026. https://modelsatlas.com/skills/elastic/kibana-agent-builder
Trust audit
Audit 0.4.1 · source read 29 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 30fcdedc45a1 · 29 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisherelastic GitHub organizationOwner of the repository this skill is read from
- Source folderelastic/agent-skills/skills/kibana/kibana-agent-builderThe exact folder we audited
- LicenceApache-2.0As the repository states it
- Commit pinned for this verdict30fcdedc45a1A new audit runs when the source changes
- Repository statusNot archivedPushed today
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Create and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools…
---
name: kibana-agent-builder
description: >
Create and manage Kibana Agent Builder agents and custom tools. Use when asked to
create, update, delete, test, or inspect agents or tools in Agent Builder, or when
the user wants to understand what agents or tools already exist.
metadata:
author: elastic
version: 0.3.0
universal: true
---
# Kibana Agent Builder
Create, inspect, update, delete, and test Agent Builder **tools** and **agents**. Ground LLM responses in Elasticsearch
data through scoped search tools, parameterized ES|QL, and workflow integrations.
<!-- begin-partial: preamble -->
## Environment Configuration
This skill executes Elasticsearch operations through the `elastic` CLI. If the
[`elastic` CLI](https://github.com/elastic/cli#configuration) 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](#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.
<!-- end-partial: preamble -->
## Resource model
Agent Builder exposes three distinct resource kinds — do not conflate them:
| Kind | Purpose | Typical API |
| ----------------------- | -------------------------------------------------------------------------------------------------- | -------------------------------------------- |
| **Tool** | Reusable function an agent invokes to retrieve or act on data (`index_search`, `esql`, `workflow`) | `POST kbn:/api/agent_builder/tools` |
| **Agent** | LLM entity with instructions and a curated toolset | `POST kbn:/api/agent_builder/agents` |
| **Chat / conversation** | Ephemeral messaging session with an existing agent | `POST kbn:/api/agent_builder/converse/async` |
Creating a tool does **not** create an agent. Listing or chatting with an agent does **not** create a tool. When the
user asks to "create an agent" or "create a tool," identify which resource they mean before calling a write API.
Built-in tools use the `platform.core.*` prefix (for example `platform.core.search`). Custom tools and agents are
user-defined. Read [architecture-guide.md](references/architecture-guide.md) for built-in tool inventory, context
engineering, and security notes.
## Process
1. **Classify the task.** Decide whether the user needs a **tool**, an **agent**, or **chat** with an existing agent. If
they ask what already exists ("what agents are there?", "list agents"), treat the request as **read-only discovery**
— answer from live data before proposing any create, update, or delete.
2. **Discover existing resources before any write.** When creating or updating:
- Call `GET kbn:/api/agent_builder/tools` to list available tools (built-in and custom). Do not invent tool IDs.
- Call `GET kbn:/api/agent_builder/agents` to list existing agents and avoid duplicate IDs or names.
When the user only asks what agents exist, stop after `GET kbn:/api/agent_builder/agents`. Enumerate each agent's id
and name. If the list is empty, say so plainly — do not fabricate agents. Only proceed to creation when the user
explicitly asks to create one and you have confirmed the target id is unused.
3. **Choose the tool type (for tool tasks).** Match intent to the narrowest tool type:
- **Open-ended search over a known index pattern** → `index_search` with a **specific pattern** (for example
`customer-feedback-*`), never `*` or all-indices scope unless the user explicitly requires it.
- **Fixed analytics, aggregations, or parameterized queries** → `esql` with `?param` placeholders and a `params`
object (use `{}` when there are no parameters).
- **Multi-step automation beyond retrieval** → `workflow` referencing an existing workflow id.
For ES|QL syntax and query design, follow the `elasticsearch-esql` skill. For workflow YAML, follow the
`kibana-workflows` skill.
4. **Build the tool payload.** Required fields: `id`, `type`, `description`, `configuration`. Optional: `tags`.
**API constraints** (violations return 400):
- POST accepts only `id`, `type`, `description`, `configuration`, `tags`. **`name` is not valid** on tools.
- Index search configuration uses `"pattern"`, **not** `"index"`.
- ES|QL tools require `"params"` even when empty: `"params": {}`.
- Each param accepts only `type` and `description` — not `default` or `optional`. Hard-code defaults in the query.
- PUT on tools accepts only `description`, `configuration`, and `tags`. `id` and `type` are immutable.
**Index search example** (scoped pattern):
```json
{
"id": "customer_feedback_search",
"type": "index_search",
"description": "Searches customer feedback and support tickets in the customer-feedback indices.",
"configuration": {
"pattern": "customer-feedback-*"
}
}
```
**ES|QL example** (parameterized, with LIMIT):
```json
{
"id": "feedback_sentiment_trend",
"type": "esql",
"description": "Returns positive vs negative feedback counts by product category over a lookback window.",
"configuration": {
"query": "FROM customer-feedback-* | WHERE @timestamp >= NOW() - ?lookback_days::integer * 1d | STATS positive = COUNT(*) WHERE sentiment == \"positive\", negative = COUNT(*) WHERE sentiment == \"negative\" BY product_category | SORT negative DESC | LIMIT 20",
"params": {
"lookback_days": {
"type": "integer",
Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 30fcded
git clone https://github.com/elastic/agent-skills git -C agent-skills checkout 30fcdedc45a1
The author documents no install command, so this uses the repository directly. Our verdict covers commit 30fcdedc45a1 only.
Works in which agents?
What its own text says, not a test
| Agent | Status | More |
|---|---|---|
| Claude Desktop | Mentioned in its text, not tested | Skills for Claude Desktop · About Claude Desktop |
| Cursor | Mentioned in its text, not tested | Skills for Cursor · About Cursor |
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
30fcdedc45a1
README badge
For maintainers · shows the latest audit
[](https://modelsatlas.com/skills/elastic/kibana-agent-builder/)
The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.
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Questions about kibana-agent-builder
What does the kibana-agent-builder skill do?
Is kibana-agent-builder safe to install?
What can kibana-agent-builder access on my machine?
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Sources
- github.com/elastic/agent-skills/tree/main/skills/kibana/kibana-a — the audited source at commit 30fcdedc45a1 and every finding aboveObserved · 29 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the kibana-agent-builder skill do?
- Is kibana-agent-builder safe to install?
- What can kibana-agent-builder access on my machine?