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 aspectrr/deer --skill kibana-connectorsgit clone --depth 1 https://github.com/aspectrr/deerWrote 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/aspectrr/deer/kibana-connectors)<a href="https://agentmods.dev/skills/aspectrr/deer/kibana-connectors"><img src="https://agentmods.dev/badge/skills/aspectrr/deer/kibana-connectors/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/aspectrr/deer/kibana-connectors"><img src="https://agentmods.dev/badge/skills/aspectrr/deer/kibana-connectors.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 | $0.00043 | $0.01708 |
| Opus 5 | $0.00022 | $0.00854 |
| Sonnet 5 | $0.00009 | $0.00342 |
| Haiku 4.5 | $0.00004 | $0.00171 |
Grade A, and why
kibana-connectors scanned grade A 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "https://my-kibana:5601/api/actions/connector/my-slack-connector" \ How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kibana Connectors
Core Concepts
Connectors store connection information for Elastic services and third-party systems. Alerting rules use connectors to route actions (notifications) when rule conditions are met. Connectors are managed per Kibana Space.
Connector Categories
| Category | Connector Types |
|---|---|
| LLM Providers | OpenAI, Google Gemini, Amazon Bedrock, Elastic Managed LLMs, AI Connector, MCP (Preview, 9.3+) |
| Incident Management | PagerDuty, Opsgenie, ServiceNow (ITSM, SecOps, ITOM), Jira, Jira Service Management (9.2+), IBM Resilient, Swimlane, Torq, Tines, D3 Security, XSOAR (9.1+), TheHive |
| Endpoint Security | CrowdStrike, SentinelOne, Microsoft Defender for Endpoint |
| Messaging | Slack (API / Webhook), Microsoft Teams, Email |
| Logging & Observability | Server log, Index, Observability AI Assistant |
| Webhook | Webhook, Webhook - Case Management, xMatters |
| Elastic | Cases |
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.
- 10d ago First seen · 176 lines · 43 tokens per session scan A fe7f5e7c35ea
kibana-connectors is a skill published in the GitHub repository aspectrr/deer (404 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,708 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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