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 LerianStudio/ring --skill creating-grafana-dashboardsgit clone --depth 1 https://github.com/LerianStudio/ringWrote 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/lerianstudio/ring/creating-grafana-dashboards)<a href="https://agentmods.dev/skills/lerianstudio/ring/creating-grafana-dashboards"><img src="https://agentmods.dev/badge/skills/lerianstudio/ring/creating-grafana-dashboards/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/lerianstudio/ring/creating-grafana-dashboards"><img src="https://agentmods.dev/badge/skills/lerianstudio/ring/creating-grafana-dashboards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.05156 |
| Opus 5 | $0.00051 | $0.02578 |
| Sonnet 5 | $0.00021 | $0.01031 |
| Haiku 4.5 | $0.00010 | $0.00516 |
Grade A, and why
ring:creating-grafana-dashboards 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Grafana Dashboards (lib-observability, PM-team)
When to use
Sweep mode:
- "Create / scaffold Grafana dashboards for this service"
- "Inventory telemetry / build telemetry dictionary"
- "Audit observability before designing dashboards"
- "Produce dashboards as code for {service}"
- "PM wants visibility into {domain} — what dashboards do we need?"
Reference mode:
- "What's the right panel for HTTP request latency?"
- "RED vs USE methodology for this metric type?"
- "How do I compose Grafonnet panels?"
- "Which Grafonnet template fits a counter / histogram / gauge?"
Skip when
- Service is not a Go project (lib-observability is Go-only at this skill's scope)
- Service emits no telemetry (pre-instrumentation; instrument the service before dashboard authoring, then use ring:implementing-tasks to verify observability checks pass)
- Task is purely Grafana folder organization or dashboard import (no authoring)
- Service is consumer-only sidecar with no metrics surface
Sequence
Runs before: ring:running-dev-cycle, ring:running-dev-cycle-frontend
Related
Complementary: ring:implementing-tasks, ring:codebase-explorer, ring:mapping-streaming-events, ring:using-lib-observability, ring:using-tracing Similar: ring:using-runtime, ring:using-assert
Prerequisites
- Go service with lib-observability initialized in bootstrap (
tracing.NewTelemetry,metrics.NewFactory,zap.NewLogger) - At least one metric, span, or structured log emission point present
- docs/ directory writable
- Grafonnet toolchain available in CI (jsonnet + grafonnet-lib) — installer instructions in ci-drift-check.md
Orchestrates a 3-phase, 8-gate workflow to produce Grafana dashboards grounded in real telemetry. You orchestrate. Agents explore. PM iterates. You NEVER read, write, or edit source code directly during the sweep.
Announce at start: "Using ring:creating-grafana-dashboards through 8 gates (0–7)."
Mode Selection
| Request Shape | Mode |
|---|---|
| "Create / scaffold dashboards" / "build telemetry dictionary" | Sweep (run gates 0–7) |
| "Which panel for X?" / "RED vs USE?" / "Grafonnet template for Y?" | Reference (load sub-files/reference.md) |
What ships with it
11 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.
- sub-files/ci-drift-check.md 9.1 KB
- sub-files/dictionary-schema.md 9.6 KB
- sub-files/grafonnet-templates/error-budget.libsonnet 2.3 KB
- sub-files/grafonnet-templates/latency-heatmap.libsonnet 2.4 KB
- sub-files/grafonnet-templates/log-stream-panel.libsonnet 1.3 KB
- sub-files/grafonnet-templates/panels.libsonnet 1.0 KB
- sub-files/grafonnet-templates/rate-panel.libsonnet 2.9 KB
- sub-files/grafonnet-templates/saturation-gauge.libsonnet 2.3 KB
- sub-files/pm-iteration-prompts.md 6.8 KB
- sub-files/reference.md 11 KB
- sub-files/sweep-angles.md 17 KB
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.
- 6d ago First seen · 418 lines · 103 tokens per session scan A b32167917df4
ring:creating-grafana-dashboards is a skill published in the GitHub repository LerianStudio/ring (211 stars, last pushed 21d ago), licensed Apache-2.0. It adds 103 tokens to every session and 5,156 once invoked, about $0.0005 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 2026-09-03.
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