agento11y-prod-setup

agento11y-prod-setup is a skill for Claude Code from grafana/gcx. It costs 259 tokens per session (7,950 once invoked), scanned A, original, Apache-2.0.

A setup guide for evaluating a deployed AI agent in Grafana Agent Observability using its source code and real user traffic. It creates online checks and request-time safety rules.

In plain words
What is it for?
Setting up evaluators that score production conversations, plus rules that warn, redact sensitive text, or block selected tool calls.
Why use it?
It helps detect quality regressions in live conversations and apply policies without manually reviewing every interaction.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter.

Part of the gcx plugin — 24 skills, 1 agent shipped together

Good fit Setting up evaluators that score production conversations, plus rules that warn, redact sensitive text, or block selected tool calls.

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Install with agentmods
npx agentmods add skills/grafana/gcx/agento11y-prod-setup
About the project

gcx is a command-line tool that lets people and AI coding agents manage and inspect Grafana Cloud, Enterprise, and open-source instances. It provides access to dashboards, alerts, SLOs, metrics, logs, and traces, with workflows for alert investigation, dashboard management, GitOps, and observability setup. Its catalogue entries provide agent instructions and extensions for using gcx.

grafana/gcx · 594 stars · on GitHub · grafana.com

Install

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.

Any agent
npx skills add grafana/gcx --skill agento11y-prod-setup
Clone the repo
git clone --depth 1 https://github.com/grafana/gcx

Made for: Claude Code.

Or install gcx, the plugin that ships this one along with the rest of its 24 skills, 1 agent.

Wrote 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.

agentmods badge for agento11y-prod-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/grafana/gcx/agento11y-prod-setup/github.svg)](https://agentmods.dev/skills/grafana/gcx/agento11y-prod-setup)
Your own site
<a href="https://agentmods.dev/skills/grafana/gcx/agento11y-prod-setup"><img src="https://agentmods.dev/badge/skills/grafana/gcx/agento11y-prod-setup/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.

agentmods 80×15 button for agento11y-prod-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/grafana/gcx/agento11y-prod-setup"><img src="https://agentmods.dev/badge/skills/grafana/gcx/agento11y-prod-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 259 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,950 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00259 $0.07950
Opus 5 $0.00130 $0.03975
Sonnet 5 $0.00052 $0.01590
Haiku 4.5 $0.00026 $0.00795

Measured 10d ago against content hash 56e6d8e5142a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agento11y-prod-setup 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 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.

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.

claude-plugin/skills/agento11y-prod-setup/SKILL.md · 473 lines

How it starts

The opening of the file, as written. The whole thing — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Observability — production evals & guards setup

The production counterpart to agento11y-test-starter (which runs pre-ship, on code alone, producing an offline test suite). This skill runs after ship, when the agent has real traffic, and sets up the two production surfaces the starter deliberately leaves out:

  • Online eval rules — evaluators that score ingested live conversations, so regressions surface without hand-reviewing every conversation.
  • Guards (hook-rules) — policies on the request path that warn (and can later be promoted to deny) in real time. A guard decides via one of three shapes: evaluator_ids (an evaluator judges), redact (regex redaction), or tool_filter (block tool calls). See Step 4.

What this skill does that agento11y doesn't

The sibling agento11y skill is the mechanics layer: exact CLI flags, evaluator/rule YAML shapes, create-or-update semantics, the online-eval setup steps. It assumes you already know what to create.

This skill is the judgment layer. It answers which rules and guards this specific agent needs, by grounding in two evidence sources a generic checklist can't use:

  1. The agent's code — its system prompt, tools, and how it handles user data. Half the value is here; read and cite it (file:line).
  2. The agent's real traffic — because it's deployed, you can see what it actually does in prod, not just what the code says it might.

Two gaps this skill fills beyond agento11y:

  • Recommendation from evidenceagento11y starts once you know what to create; this decides.
  • Guardsagento11y documents evaluators and rules but not guards (hook-rules), even though gcx agento11y guards exists. This skill carries the guard shapes (evaluator_ids / redact / tool_filter, plus action_on_fail) itself.

For any mechanical detail — exact flags, evaluator/rule YAML fields, the setup flow — defer to the agento11y skill and to gcx agento11y <sub> --help rather than restating it here.

Read the full file on GitHub · 473 lines

Changes

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.

  1. 10d ago First seen · 473 lines · 259 tokens per session scan A 56e6d8e5142a

Subscribe to this mod's changes

agento11y-prod-setup is a skill published in the GitHub repository grafana/gcx (594 stars, last pushed today), licensed Apache-2.0. It adds 259 tokens to every session and 7,950 once invoked, about $0.0013 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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