MegaLinter is a repository analysis tool that runs linters and related checks across source code, infrastructure-as-code, configuration, scripts, formats, spelling, copy-pastes, and security issues. It is for teams that want automated quality checks in GitHub Actions, other CI systems, or local development. The catalogue add-ons help coding agents use and configure MegaLinter and respond to its findings.
Borrowing it
Nothing to install: this file belongs to oxsecurity/megalinter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/oxsecurity/megalinter/main/.claude/skills/kibana-dashboards/SKILL.mdgit clone --depth 1 https://github.com/oxsecurity/megalinterWrote 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/oxsecurity/megalinter/kibana-dashboards)<a href="https://agentmods.dev/skills/oxsecurity/megalinter/kibana-dashboards"><img src="https://agentmods.dev/badge/skills/oxsecurity/megalinter/kibana-dashboards.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.05104 |
| Opus 5 | $0.00020 | $0.02552 |
| Sonnet 5 | $0.00008 | $0.01021 |
| Haiku 4.5 | $0.00004 | $0.00510 |
Grade C, and why
kibana-dashboards scanned grade C with 2 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 8d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://elastic.co/start-local | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://elastic.co/start-local | sh The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
14 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.
- assets/bar-chart-esql.json 443 B
- assets/dashboard-basic.json 391 B
- assets/dashboard-with-visualizations.json 3.6 KB
- assets/datatable.json 341 B
- assets/demo-dashboard.json 6.3 KB
- assets/ecommerce-analytics-dashboard.json 11 KB
- assets/line-chart-timeseries.json 632 B
- assets/metric-esql.json 227 B
- LICENSE 11 KB
- package.json 218 B
- references/chart-types-reference.md 13 KB
- references/dashboard-api-reference.md 9.6 KB
- references/visualizations-api-reference.md 2.6 KB
- scripts/kibana-dashboards.js 28 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.
- 8d ago First seen · 497 lines · 40 tokens per session scan C aec280e8a3fc
kibana-dashboards is a skill published in the GitHub repository oxsecurity/megalinter (2,579 stars, last pushed today), licensed AGPL-3.0. It adds 40 tokens to every session and 5,104 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, 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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