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.
git clone --depth 1 https://github.com/SigNoz/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/plugins/signoz/agent-skills/gemini-extension)<a href="https://agentmods.dev/plugins/signoz/agent-skills/gemini-extension"><img src="https://agentmods.dev/badge/plugins/signoz/agent-skills/gemini-extension/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/plugins/signoz/agent-skills/gemini-extension"><img src="https://agentmods.dev/badge/plugins/signoz/agent-skills/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
signoz 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 20d 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.
What it actually says
{
"name": "signoz",
"version": "2026.09.25",
"description": "Query SigNoz observability data(metrics, traces, logs, alerts, dashboards, services) via the SigNoz Cloud hosted MCP server.",
"mcpServers": {
"signoz": {
"httpUrl": "${SIGNOZ_MCP_URL}",
"timeout": 30000
}
},
"settings": [
{
"name": "SIGNOZ_MCP_URL",
"label": "SigNoz MCP endpoint",
"description": "SigNoz Cloud: https://mcp.<region>.signoz.cloud/mcp (regions: us, in, eu, us2, in2, eu2; find yours under Settings → Ingestion, or see https://signoz.io/docs/ingestion/signoz-cloud/overview/#endpoint). Self-hosted SigNoz: your own /mcp URL, e.g. http://localhost:8000/mcp",
"envVar": "SIGNOZ_MCP_URL",
"sensitive": false,
"required": true,
"default": "https://mcp.us.signoz.cloud/mcp"
}
]
}
What ships with it
3 files beside gemini-extension.json 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.
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.
- 20d ago Changed dca8167b2b15
- 25d ago Changed 522244b2ebca
- 29d ago First seen · 23 lines scan A bb8d274342b2
signoz is a plugin published in the GitHub repository SigNoz/agent-skills (18 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-17.
Other plugins, from other repositories
superpowers-zh
A Chinese-language collection of working methods for AI-assisted programming, including test-driven development, debugging, and code review. Test-driven development, or TDD, means writing tests before the code they check.
shipshitdev-dev-workflow
Code review, debugging, refactoring, release, and AI-assisted development workflows.
gonzo
Set up and use Gonzo, the open-source terminal log analysis tool. Detects deployment platforms (Vercel, Supabase, K8s, Docker, AWS, Cloudflare, Fly, Render, Railway, Netlify), generates the right pipe command with platform-specific normalizers, and configures AI analysis. Use when the user wants to tail, watch, stream.
knowledge-virtuoso
15 knowledge skills — design patterns, refactoring, SOLID, debugging, clean architecture, testing, API design, security, scrum, performance, microservices, git workflow, CI/CD, accessibility, and database design.
forensic-deepdive
Persistent code knowledge graph + 9 composite MCP tools (impact, context, archaeology, flow, query, recordinsight, recallinsights, visualize, trace) for AI coding agents.
transformation
Digital maturity assessment, Now/Next/Later transformation roadmaps, target operating model design, technology strategy briefs, and transformation business cases.