OPS on-demand: This skill should be used when the user asks to "datadog", "APM alerts", or…

MITAuto-check: notesDevOps & Cloud

Install Ops Monitor

skills CLI
$ npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-monitor -a claude-code

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

GitHub CLI
$ gh skill install Lifecycle-Innovations-Limited/claude-ops ops-monitor --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/Lifecycle-Innovations-Limited/claude-ops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/claude-ops/skills/ops-monitor .claude/skills/ops-monitor && 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
ops-monitor
GitHub stars
542
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
384 words
Files
1
Skills in repo
67
Repo updated
First seen
Licence
MIT

At a glance

OPS on-demand: This skill should be used when the user asks to "datadog", "APM alerts", or…

  • Works in 2 steps: datadog_api_key — API Key from… → datadog_app_key — Application Key from…
  • Asks to datadog
  • SKILL.md covers Runtime Context, Setup flow (--setup), Agent Teams support and Default health check (no flags), plus 3 more sections
  • Calls curl and jq; reaches api.datadoghq.com and api.newrelic.com; needs DD_API_KEY and NR_API_KEY

What it does

Ops Monitor is an agent skill from Lifecycle-Innovations-Limited/claude-ops. OPS on-demand: This skill should be used when the user asks to "datadog", "APM alerts", or…

Its SKILL.md is about 1.5k 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 Monitoring and alerting. It works with Datadog, New Relic and OpenTelemetry. The repository describes itself as: Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS monitoring, revenue… The licence is MIT.

When your agent uses it

  • Asks to datadog
  • Tasks that involve Monitoring and alerting

Example prompts

  • “datadog”
  • “APM alerts”
  • “/ops-monitor”

Requirements

  • A credential in DD_API_KEY
  • A credential in NR_API_KEY
  • Pre-approved tools (allowed-tools): Bash, Read, Agent, AskUserQuestion, TeamCreate, SendMessage

Workflow steps

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

  1. datadog_api_key — API Key from app.datadoghq.com/organization-settings/api-keys
  2. datadog_app_key — Application Key from app.datadoghq.com/organization-settings/application-keys

What it can do on your machine

Read from SKILL.md and the folder at commit 996d61a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Agent
    • AskUserQuestion
    • TeamCreate
    • SendMessage

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.datadoghq.com
    • api.newrelic.com

    Also links to:

    • otlp.grafana.net

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DD_API_KEY
    • NR_API_KEY
    • DD_APP_KEY

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

Context cost

Ops Monitor loads about 1.5k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Agent, AskUserQuestion, TeamCreate, SendMessage

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 Lifecycle-Innovations-Limited/claude-ops at commit 996d61a, republished under its MIT licence (© Lifecycle-Innovations-Limited). 384 words, ~1,533 tokens.

Download SKILL.mdSave it as .claude/skills/ops-monitor/SKILL.md (or your agent's skills folder).
name
ops-monitor
description
OPS on-demand: This skill should be used when the user asks to "datadog", "APM alerts", or…
allowed-tools
Bash, Read, Agent, AskUserQuestion, TeamCreate, SendMessage
argument-hint
[--watch] [--setup] [--backend datadog|newrelic|otel]
effort
low
maxTurns
20

Runtime Context

bash
PREFS="${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json"
DD_API_KEY=$(jq -r '.datadog_api_key // empty' "$PREFS" 2>/dev/null)
NR_API_KEY=$(jq -r '.newrelic_api_key // empty' "$PREFS" 2>/dev/null)
OTEL_ENDPOINT=$(jq -r '.otel_endpoint // empty' "$PREFS" 2>/dev/null)

Determine $ARGUMENTS mode:

  • Contains --setup → run Setup flow
  • Contains --watch → run Watch mode
  • Otherwise → run Default health check

OPS ► MONITOR

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Setup flow (--setup)

Ask which backends to configure:

Which monitoring backends would you like to configure?
[Datadog]  [New Relic]  [OpenTelemetry]  [All three]

For each selected backend, collect credentials via AskUserQuestion free-text input (one at a time, ≤4 options per call):

Datadog:

  1. datadog_api_key — API Key from app.datadoghq.com/organization-settings/api-keys
  2. datadog_app_key — Application Key from app.datadoghq.com/organization-settings/application-keys

New Relic:

  1. newrelic_api_key — User API Key from one.newrelic.com/api-keys
  2. newrelic_account_id — Numeric Account ID from New Relic admin portal

OpenTelemetry:

  1. otel_endpoint — Base URL of your OTEL-compatible backend (e.g., https://otlp.grafana.net)

Write each credential to preferences.json using atomic tmpfile swap:

bash
tmp=$(mktemp)
jq --arg k "$KEY" --arg v "$VALUE" '.[$k] = $v' "$PREFS" > "$tmp" && mv "$tmp" "$PREFS"

Run smoke test after saving:

  • Datadog: curl -sf -H "DD-API-KEY: $DD_API_KEY" -H "DD-APPLICATION-KEY: $DD_APP_KEY" "https://api.datadoghq.com/api/v1/validate" → expect {"valid": true}
  • New Relic: curl -sf -H "Api-Key: $NR_API_KEY" "https://api.newrelic.com/graphql" -d '{"query":"{ actor { user { name } } }"}' → expect data.actor.user
  • OTEL: curl -sf "$OTEL_ENDPOINT/healthz" → expect HTTP 200

Report ✅ or ❌ with status for each backend.

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when querying multiple backends simultaneously. This enables:

  • Backend probes run in parallel with shared context (e.g., Datadog agent detects latency spike → OTEL agent can correlate with traces)
  • You can steer: "focus on Datadog alerts first, then cross-reference with New Relic"
  • Real-time progress: agents report per-backend as results arrive

Team setup (only when flag is enabled, multiple backends configured):

TeamCreate("monitor-probes")
Agent(team_name="monitor-probes", name="datadog-probe", subagent_type="ops:monitor-agent", ...)
Agent(team_name="monitor-probes", name="newrelic-probe", subagent_type="ops:monitor-agent", ...)
Agent(team_name="monitor-probes", name="otel-probe", subagent_type="ops:monitor-agent", ...)

If the flag is NOT set or only one backend is configured, use a single monitor-agent subagent.

Show full SKILL.md (119 more words)Show less

Default health check (no flags)

Spawn monitor-agent via the Agent tool. Display the result as a formatted dashboard:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► MONITOR                       [<timestamp>]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 DATADOG      ✅ healthy (0 alerts)
 NEW RELIC    🔴 2 critical entities
 OTEL         ✅ healthy
──────────────────────────────────────────────────────
 Total alerts: 2   Severity: CRITICAL

Status icons:

  • ✅ — healthy (0 alerts / configured and reachable)
  • ⚠️ — warning (warn-level alerts present)
  • 🔴 — critical (critical alerts or unreachable)
  • ⬜ — not configured

For each alert or critical entity, display: service name, alert name, and link to the relevant dashboard.

If no backends are configured, show a setup prompt:

No monitoring backends configured. Run /ops:monitor --setup to add Datadog, New Relic, or OTEL.

Watch mode (--watch)

Poll every 60 seconds. On each tick:

bash
while true; do
  RESULT=$(# spawn monitor-agent and capture JSON output)
  # Diff against previous tick
  # Print: timestamp, changed items only
  # 🆕 new alert: <name>
  # ✅ resolved: <name>
  sleep 60
done

Exit on Ctrl-C.

--backend filter

If --backend datadog|newrelic|otel is specified, query and display only that backend.

CLI/API Reference

BackendAuth headerBase URLHealth endpoint
DatadogDD-API-KEY: $key + DD-APPLICATION-KEY: $app_keyhttps://api.datadoghq.com/api/v1/validate
New RelicApi-Key: $keyhttps://api.newrelic.com/graphqlPOST GraphQL query
OTELvaries by backend$OTEL_ENDPOINT/healthz
bash
# Datadog — active alerts
curl -sf \
  -H "DD-API-KEY: ${DD_API_KEY}" \
  -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
  "https://api.datadoghq.com/api/v1/monitor?monitor_tags=*&with_downtimes=false" \
  | jq '[.[] | select(.overall_state == "Alert" or .overall_state == "Warn")]'

# New Relic — critical entities (GraphQL)
curl -sf \
  -H "Api-Key: ${NR_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"query":"{ actor { entitySearch(queryBuilder: {alertSeverity: CRITICAL}) { results { entities { name alertSeverity entityType } } } } }"}' \
  "https://api.newrelic.com/graphql"

# OTEL — health check
curl -sf "${OTEL_ENDPOINT}/healthz"

© Lifecycle-Innovations-Limited, 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 claude-ops/skills/ops-monitor of Lifecycle-Innovations-Limited/claude-ops.

Open the folder on GitHubat commit 996d61a

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Lifecycle-Innovations-Limited/claude-ops, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ops Monitor 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.

Ops Monitor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ops Monitor this skillLifecycle-Innovations-Limited/claude-ops5421 repos~1.5kAutomated safety check: NotesMIT
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone
Observability Architecturemajiayu000/litellm-rs118—~1.3kAutomated safety check: PassMIT
Ag2 Telemetryag2ai/build-with-ag2252—~1.9kAutomated safety check: PassApache-2.0
ObservabilityTheBeardedBearSAS/claude-craft107—~547Automated safety check: PassMIT

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Categories

Questions about Ops Monitor

What does Ops Monitor do?

OPS on-demand: This skill should be used when the user asks to "datadog", "APM alerts", or…. Ops Monitor is an agent skill from Lifecycle-Innovations-Limited/claude-ops.

When should I use Ops Monitor?

Ops Monitor fits situations like: asks to datadog; tasks that involve Monitoring and alerting.

How do I install Ops Monitor in Claude Code?

Run `npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-monitor -a claude-code`. Or copy the skill folder (claude-ops/skills/ops-monitor in Lifecycle-Innovations-Limited/claude-ops) into .claude/skills/ops-monitor in your project. Claude Code loads it when a task matches its description.

How do I install Ops Monitor in Codex?

Run `npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-monitor -a codex`. Or copy the skill folder (claude-ops/skills/ops-monitor in Lifecycle-Innovations-Limited/claude-ops) into .agents/skills/ops-monitor in your project. Codex loads it when a task matches its description.

Can I use Ops Monitor 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 Lifecycle-Innovations-Limited/claude-ops --skill ops-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ops-monitor, .gemini/skills/ops-monitor, .github/skills/ops-monitor and .opencode/skills/ops-monitor in your project.

What does Ops Monitor need to run?

Going by SKILL.md and its folder, Ops Monitor needs the command-line tools its instructions call (curl and jq) and credentials named DD_API_KEY, NR_API_KEY and DD_APP_KEY. Our summary lists: A credential in DD_API_KEY; A credential in NR_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Agent, AskUserQuestion, TeamCreate, SendMessage.

Does Ops Monitor access the network?

SKILL.md names 3 domains. In commands or code: api.datadoghq.com and api.newrelic.com; the agent is likely to contact these when it follows the instructions. As links in the text: otlp.grafana.net. This is read from the text; nothing was executed.

Is Ops Monitor safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Ops Monitor use?

Ops Monitor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ops Monitor use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 Ops Monitor?

Skills that share tags, products or a category with Ops Monitor: Frontmcp Observability (agentfront/frontmcp, 146 stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars), Observability Architecture (majiayu000/litellm-rs, 118 stars) and Ag2 Telemetry (ag2ai/build-with-ag2, 252 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ops Monitor?

Lifecycle-Innovations-Limited (a GitHub organization) maintains it in Lifecycle-Innovations-Limited/claude-ops, which has 542 GitHub stars. The repository holds 67 skills in this directory. The repository was last updated on October 10, 2026.

Source: Lifecycle-Innovations-Limited/claude-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.