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managing-betteruptime

Use when working with Betteruptime — better Uptime monitoring, status pages, incident management, on-call scheduling, and heartbeat tracking. Covers monitor configuration, response time analysis, incident lifecycle, on-call rotations, and SLA reporting. Use when managing uptime monitors, reviewing incident history, configuring on-call schedules, or analyzing response times in Better Uptime.

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  • SKILL.md5.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Better Uptime Management Skill

Manage and analyze monitors, incidents, status pages, and on-call schedules in Better Uptime.

API Conventions

Authentication

All API calls use the Authorization: Bearer $BETTERUPTIME_API_KEY header. Never hardcode tokens.

Base URL

https://betteruptime.com/api/v2

Core Helper Function

#!/bin/bash

bu_api() {
    local method="$1"
    local endpoint="$2"
    local data="${3:-}"

    if [ -n "$data" ]; then
        curl -s -X "$method" \
            -H "Authorization: Bearer $BETTERUPTIME_API_KEY" \
            -H "Content-Type: application/json" \
            "https://betteruptime.com/api/v2${endpoint}" \
            -d "$data"
    else
        curl -s -X "$method" \
            -H "Authorization: Bearer $BETTERUPTIME_API_KEY" \
            -H "Content-Type: application/json" \
            "https://betteruptime.com/api/v2${endpoint}"
    fi
}

Output Rules

  • TOKEN EFFICIENCY: Extract only needed fields with jq
  • Target <=50 lines per script output
  • Never dump full API responses

Discovery Phase

List Monitors

#!/bin/bash
echo "=== Monitors ==="
bu_api GET "/monitors?per_page=25" \
    | jq -r '.data[] | "\(.attributes.status)\t\(.attributes.monitor_type)\t\(.attributes.url[0:50])\t\(.attributes.pronounceable_name)"' \
    | column -t

echo ""
echo "=== Monitor Status Summary ==="
bu_api GET "/monitors?per_page=100" \
    | jq -r '.data[] | .attributes.status' | sort | uniq -c | sort -rn

Active Incidents

#!/bin/bash
echo "=== Active Incidents ==="
bu_api GET "/incidents?per_page=20" \
    | jq -r '.data[] | select(.attributes.resolved_at == null) | "\(.attributes.started_at[0:16])\t\(.attributes.call)\t\(.attributes.name[0:60])"' \
    | column -t

echo ""
echo "=== On-Call Now ==="
bu_api GET "/on-call-calendars" \
    | jq -r '.data[] | "\(.attributes.name)\t\(.attributes.current_on_call.name // "nobody")"' | column -t

Analysis Phase

Monitor Performance

#!/bin/bash
echo "=== Monitors Down ==="
bu_api GET "/monitors?per_page=50" \
    | jq -r '.data[] | select(.attributes.status == "down") | "\(.attributes.pronounceable_name)\t\(.attributes.url[0:40])\tdown since \(.attributes.last_checked_at[0:16])"' \
    | column -t

echo ""
echo "=== Response Times (slowest) ==="
bu_api GET "/monitors?per_page=50" \
    | jq -r '.data[] | select(.attributes.status == "up") | "\(.attributes.pronounceable_name)\t\(.attributes.response_time_ms // 0)ms"' \
    | sort -t$'\t' -k2 -rn | head -10

Incident History

#!/bin/bash
echo "=== Recent Incidents ==="
bu_api GET "/incidents?per_page=25" \
    | jq -r '.data[] | "\(.attributes.started_at[0:16])\t\(.attributes.resolved_at[0:16] // "ongoing")\t\(.attributes.name[0:50])"' \
    | column -t

echo ""
echo "=== Incident Duration Stats ==="
bu_api GET "/incidents?per_page=50" \
    | jq '[.data[] | select(.attributes.resolved_at != null) | ((.attributes.resolved_at | fromdateiso8601) - (.attributes.started_at | fromdateiso8601)) / 60] | {avg_minutes: (add / length | . * 10 | round / 10), count: length}'

Output Format

  • Use tab-separated columns with column -t
  • Limit lists to 15-25 items
  • Show summaries before details

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  • JSON:API format: Responses use data[].attributes structure
  • Monitor types: status, expected_status_code, keyword, keyword_absence, ping, tcp, udp, smtp, pop, imap
  • Pagination: Use per_page and check pagination.next URL for more pages
  • Heartbeats: Separate endpoint /heartbeats for cron job and service health checks
  • Rate limits: 200 requests per minute

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