Agent skill

Sre Dashboards

by BagelHole in BagelHole/DevOps-Security-Agent-Skills

Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services.

MITAuto-check passedDevOps & Cloud

Install Sre Dashboards

skills CLI
$ npx skills add BagelHole/DevOps-Security-Agent-Skills --skill sre-dashboards -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install BagelHole/DevOps-Security-Agent-Skills sre-dashboards --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/devops/observability/sre-dashboards .claude/skills/sre-dashboards && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sre-dashboards
GitHub stars
1.2k
Token cost
~903 tokens
SKILL.md length
306 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services.

  • Works in 3 steps: Executive Reliability View: SLO… → Service Health View: RED/USE metrics,… → Deep-Dive View: Per-endpoint latency,…
  • Building observability views for SLOs
  • SKILL.md covers When to Use This Skill, Prerequisites, Dashboard Architecture and Core SRE Panels, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sre Dashboards is an agent skill from BagelHole/DevOps-Security-Agent-Skills. Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Site reliability engineering. The repository describes itself as: Agent-ready DevOps, security, infrastructure, and compliance knowledge base with 80+ skills across Kubernetes, Terraform, AWS/Azure/GCP, AI platform operations, container… The licence is MIT.

When your agent uses it

  • Building observability views for SLOs
  • Incident response
  • Executive reliability reporting

Example prompts

  • “/sre-dashboards”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Executive Reliability View: SLO attainment, incident counts, MTTR trends.
  2. Service Health View: RED/USE metrics, dependency health, release markers.
  3. Deep-Dive View: Per-endpoint latency, resource saturation, error categories.

What it can do on your machine

Read from SKILL.md and the folder at commit 0365f57. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are promql).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sre Dashboards loads about 903 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 306 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~903

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from BagelHole/DevOps-Security-Agent-Skills at commit 0365f57, republished under its MIT licence (© BagelHole). 306 words, ~903 tokens.

Download SKILL.mdSave it as .claude/skills/sre-dashboards/SKILL.md (or your agent's skills folder).
name
sre-dashboards
description
Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.
license
MIT
metadata.author
devops-skills
metadata.version
1.0

SRE Dashboards

Build dashboards that help teams detect, triage, and prevent reliability incidents.

When to Use This Skill

Use this skill when:

  • Defining service-level dashboards for production systems
  • Tracking SLO health and error-budget burn
  • Creating incident command-center views
  • Standardizing dashboard patterns across teams

Prerequisites

  • Metrics pipeline (Prometheus, OpenTelemetry, or vendor equivalent)
  • Logs/traces linked to services and environments
  • Agreed service taxonomy (team, service, tier, environment)

Dashboard Architecture

Structure dashboards in layers:

  1. Executive Reliability View: SLO attainment, incident counts, MTTR trends.
  2. Service Health View: RED/USE metrics, dependency health, release markers.
  3. Deep-Dive View: Per-endpoint latency, resource saturation, error categories.

Keep each view answer-oriented:

  • Are customers impacted?
  • What changed?
  • Where is the bottleneck?

Core SRE Panels

Golden Signals
  • Latency: p50/p95/p99 request duration by endpoint
  • Traffic: request throughput and queue depth
  • Errors: 5xx rate, failed jobs, timeout ratio
  • Saturation: CPU, memory, disk I/O, thread/connection pool exhaustion
SLO Panels
  • Current SLI value (rolling windows: 5m, 1h, 24h, 30d)
  • Error-budget remaining (%)
  • Burn-rate panels (fast and slow windows)
  • Multi-window burn alert status
Change Correlation
  • Deployment markers and config-change annotations
  • Feature flag state overlays
  • Upstream/downstream dependency error rates

Example PromQL Snippets

promql
# API error rate (%)
100 * sum(rate(http_requests_total{status=~"5.."}[5m]))
  / sum(rate(http_requests_total[5m]))
promql
# p95 latency by route
histogram_quantile(0.95,
  sum by (le, route) (rate(http_request_duration_seconds_bucket[5m]))
)
promql
# Fast burn rate (5m / 1h)
(
  sum(rate(http_requests_total{status=~"5.."}[5m]))
  / sum(rate(http_requests_total[5m]))
)
/
(
  sum(rate(http_requests_total{status=~"5.."}[1h]))
  / sum(rate(http_requests_total[1h]))
)

Operational Guidelines

  • Use consistent color semantics (green=healthy, yellow=degrading, red=breach)
  • Label units explicitly (ms, req/s, %, cores)
  • Default time windows to incident-friendly ranges (15m, 1h, 6h, 24h)
  • Minimize panel count per dashboard to reduce cognitive load
  • Add runbook links directly in panel descriptions

Troubleshooting

Panel appears flat or empty
  • Verify label cardinality and filters (service, env, region)
  • Confirm scrape/ingest latency is within expected range
  • Check metric rename regressions after instrumentation updates
High cardinality slows dashboards
  • Aggregate by stable dimensions (service, route_group) instead of raw IDs
  • Use recording rules for expensive percentile and ratio queries
  • Split deep-dive dashboards from NOC summary dashboards

© BagelHole, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in devops/observability/sre-dashboards of BagelHole/DevOps-Security-Agent-Skills.

Open the folder on GitHubat commit 0365f57

Compare with similar skills

Sre Dashboards next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sre Dashboards compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sre Dashboards this skillBagelHole/DevOps-Security-Agent-Skills1.2k—~903Automated safety check: PassMIT
Inference Autopilotrednote-machine-learning/Inference-autopilot144—~4.5kAutomated safety check: PassApache-2.0
Executing Distributed System Testsshenli/distributed-system-testing231—~5.1kAutomated safety check: NotesMIT
Alerting Irmgrafana/skills2821 repos~1.9kAutomated safety check: PassApache-2.0
Slo Implementationwshobson/agents40k11 repos~1.7kAutomated safety check: PassMIT
Agentforce D360 Analyzeforcedotcom/sf-skills1.1k—~3.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Sre Dashboards

What does Sre Dashboards do?

Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Sre Dashboards is an agent skill from BagelHole/DevOps-Security-Agent-Skills. Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services.

When should I use Sre Dashboards?

Sre Dashboards fits situations like: building observability views for SLOs; incident response; executive reliability reporting.

How do I install Sre Dashboards in Claude Code?

Run `npx skills add BagelHole/DevOps-Security-Agent-Skills --skill sre-dashboards -a claude-code`. Or copy the skill folder (devops/observability/sre-dashboards in BagelHole/DevOps-Security-Agent-Skills) into .claude/skills/sre-dashboards in your project. Claude Code loads it when a task matches its description.

How do I install Sre Dashboards in Codex?

Run `npx skills add BagelHole/DevOps-Security-Agent-Skills --skill sre-dashboards -a codex`. Or copy the skill folder (devops/observability/sre-dashboards in BagelHole/DevOps-Security-Agent-Skills) into .agents/skills/sre-dashboards in your project. Codex loads it when a task matches its description.

Can I use Sre Dashboards in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BagelHole/DevOps-Security-Agent-Skills --skill sre-dashboards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sre-dashboards, .gemini/skills/sre-dashboards, .github/skills/sre-dashboards and .opencode/skills/sre-dashboards in your project.

What does Sre Dashboards need to run?

SKILL.md names no scripts, command-line tools or credentials: Sre Dashboards is instructions for the agent only.

Does Sre Dashboards access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sre Dashboards safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sre Dashboards use?

Sre Dashboards is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sre Dashboards use?

About 903 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sre Dashboards?

Skills that share tags, products or a category with Sre Dashboards: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 144 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 282 stars) and Slo Implementation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sre Dashboards?

BagelHole (a GitHub user) maintains it in BagelHole/DevOps-Security-Agent-Skills, which has 1,152 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on May 22, 2026.

Source: BagelHole/DevOps-Security-Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.