OPS ► FIRES

Runtime Context

Before executing, load available context:

1. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/daemon-health.json

• Check infra-monitor service status — if not running, pre-gathered infra data may be stale
• If action_needed is not null → surface it immediately as a potential fire

1. Secrets: AWS credentials are required for ECS/CloudWatch queries.

Secret Resolution

• First: check $AWS_ACCESS_KEY_ID / $AWS_PROFILE env vars
• Then: doppler secrets get AWS_ACCESS_KEY_ID --plain (if doppler configured in prefs)
• Then: use password_manager_config.query_cmd from preferences
• Sentry token: $SENTRY_AUTH_TOKEN → Doppler SENTRY_AUTH_TOKEN → vault

1. Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR}/preferences.json for secrets_manager config to know which vault to query.

CLI/API Reference

aws CLI

gh CLI (GitHub)

sentry-cli / Sentry API

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when dispatching multiple fix agents simultaneously. This enables:

• Fix agents share findings (e.g., API agent discovers DB is the root cause → infra agent pivots to DB fix)
• You can prioritize: "CRITICAL ECS issue first, then CI failures"
• Real-time progress: agents report as they find root causes, you can merge fixes in optimal order

Team setup (only when flag is enabled, dispatch phase):

TeamCreate("fire-fixers")
Agent(team_name="fire-fixers", name="fix-[service]", ...)

If the flag is NOT set, use standard parallel subagents.

Pre-gathered infrastructure data

${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[],"error":"infra check failed"}'

FinOps dashboard — open anomalies

Live anomaly feed from finops-dashboard (spend spikes, idle services, expired credits, drift detections). High-severity items belong in the FIRES table alongside infra outages. Falls open to [] if the dashboard isn't configured.

${CLAUDE_PLUGIN_ROOT}/scripts/finops-bridge.sh anomalies high 2>/dev/null || echo "[]"

CI failures (last 24h)

${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'

External projects health

${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'

Home automation (only if home_automation is configured in $PREFS_PATH)

if jq -e '.home_automation' "${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json" >/dev/null 2>&1; then
  ${CLAUDE_PLUGIN_ROOT}/bin/ops-home snapshot 2>/dev/null || echo '{"configured":true,"error":"home probe failed"}'
else
  echo '{"configured":false}'
fi

Your task

Analyze the pre-gathered data — including external projects. Then run parallel checks:

1. ECS health — parse infra data for unhealthy services, stopped tasks, failed deployments.
2. Sentry — if Sentry MCP is connected, query recent unresolved errors. Otherwise note it's unavailable.
3. CI — parse CI data for failing pipelines, broken main/dev branches.
4. GitHub Actions — gh run list --limit 20 --json status,conclusion,name,headBranch,createdAt 2>/dev/null
5. External projects — parse ops-external data. Flag auth_expired as HIGH (credential rotation needed), unreachable/degraded as MEDIUM, not_configured as LOW.
6. Home automation (only if home snapshot returned configured:true) — classify Homey incidents:

• Active critical alarm (smoke / water leak / security breach) → P0 / CRITICAL — cross-reference /ops:ops-home alarm for details.
• Major device offline (gateway, hub, primary thermostat) → P1 / HIGH.
• Energy spike > 3× 7-day baseline → P2 / MEDIUM — cross-reference /ops:ops-home status.

If snapshot returned configured:false, skip silently.

Classify each issue by severity:

Output format

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► FIRES DASHBOARD — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

CRITICAL
[service] — [issue] — [since]

HIGH
[service] — [issue] — [since]

MEDIUM
[service] — [issue] — [since]

ECS HEALTH
[cluster] [service] [desired/running] [status]

CI STATUS
[repo] [branch] [workflow] [status] [last run]

SENTRY (top errors, 24h)
[error] [count] [first seen] [project]

EXTERNAL PROJECTS
[alias] [source] [status] [details — e.g. auth_expired, unreachable]

HOME (only if `home_automation` is configured)
[alarm/device] [type — smoke/water/security/offline/energy] [severity] [since]
[If `configured:false`, omit this section entirely]

──────────────────────────────────────────────────────

Use batched AskUserQuestion calls (max 4 options each). Only show relevant actions (e.g., skip dispatch options if no issues found):

AskUserQuestion call 1:

  [Dispatch fix agent for [top critical issue]]
  [Dispatch fix agent for [second issue]]
  [View logs for [service]]
  [More...]

AskUserQuestion call 2 (only if "More..."):

  [Open Sentry dashboard]
  [Open GitHub Actions]
  [All clear — nothing to do]

If no fires: show "ALL SYSTEMS OPERATIONAL" with last-checked timestamps.

Pre-dispatch staleness check (MANDATORY)

The pre-gathered CI data is cached and may be minutes-to-hours old. Before dispatching ANY fix agent, verify the failure is still red on its branch HEAD. This is defense-in-depth: even after the bin/ops-ci "current-state" filter (which only emits workflows whose latest run on a tracked branch is failing), a fix may have landed in the seconds since the cache was written. Dispatching to a self-resolved fire wastes Sonnet quota — typically 50–150k tokens per agent before it figures out there's nothing to fix.

For each fire the user selects:

gh run list --repo "$REPO" --workflow "$WORKFLOW" --branch "$BRANCH" --limit 1 \
  --json conclusion,databaseId,createdAt --jq '.[0]'

• If conclusion == "success" → SKIP. Mark task completed with metadata {resolution: "self-resolved-pre-dispatch"}. Do NOT spawn agent.
• If conclusion == "failure" → proceed to dispatch.
• If conclusion == null (in_progress) → wait 30s, recheck once, then proceed if still null.

For workflows scoped only to PRs (no main/dev runs), check the PR's combined CI status instead: gh pr checks <num> --repo "$REPO" --json bucket,name.

Dispatch fix agent

When user selects to fix an issue, use AskUserQuestion to confirm the scope before dispatching:

Dispatch fix agent for: [issue title]
  Severity: [CRITICAL/HIGH/MEDIUM]
  Repo: [repo]
  Error: [brief description]

  The agent will:
  - Investigate root cause in [repo]
  - Create feature branch with fix
  - Open PR for review

  [Dispatch agent]  [Show me the logs first]  [Skip — I'll fix manually]

On confirmation, spawn an Agent with:

• The error details and logs
• Access to the relevant repo
• Instruction to create a feature branch, fix, and open a PR
• Report back when done or blocked

Use the agents/infra-monitor.md agent definition for infra issues.

If $ARGUMENTS contains a project alias, filter to that project's services only.

Native tool usage

Monitor — live service health

Use Monitor to stream ECS task logs or GitHub Actions runs when investigating fires:

Monitor(command: "aws logs tail /ecs/<service> --follow --since 5m")

Tasks — incident tracking

Use TaskCreate for each active fire. Update with TaskUpdate as fires are investigated/fixed/escalated.

WebFetch — status pages

When diagnosing fires, use WebFetch to check AWS status page (https://health.aws.amazon.com/health/status), Vercel status, or third-party API status pages.

WebSearch — known outage patterns

Use WebSearch to find if the error pattern matches a known AWS/infrastructure issue (e.g., "ECS task stopped CannotPullContainerError" → known ECR throttling).

Credential Expiry & Rate Limit Warnings (Phase 16)

The ops-daemon surfaces two additional fire categories in daemon-health.json:

• credential_warnings — tokens/keys expiring within 7 days OR API keys older than 180 days. Fed by offline inspection of preferences.json (*_expires_at, *_created_at fields). No live API calls are made to validate credentials.
• rate_limit_warnings — integrations currently at ≥80% of their quota window. Fed by counters in rate-limits.json. Resets automatically when the window rolls over.

/ops:fires lists both alongside Sentry / infra / CI issues. Push notifications are dispatched by the daemon on the first crossing of the threshold — not re-sent until the next day (credentials) or window rollover (rate limits).

Ledger Integration

CLAIM_KEY: sentry:issue:<short_id> (e.g. sentry:issue:MY-PROJECT-1A2B)

For non-Sentry fires (infra, CI, credential expiry), use:

• CI failure: ci:run:<repo>:<run_id>
• Credential expiry: credential:expiry:<service>

Pre-flight skip-check

CLAIM_KEY="sentry:issue:<short_id>"
ledger query --claim-key "$CLAIM_KEY" --since=-PT24H

If in_progress or done exists, skip the issue. If awaiting_sam exists, surface it as "fix already staged — needs your decision."

Claim + resolve

# Claim when beginning to investigate/fix
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "fix" \
  --status "in_progress" \
  --title "Fire: <issue title>" \
  --ttl-sec 7200

# Resolve after fix is applied or escalated
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "fix" \
  --status "done" \
  --title "Fire: <issue title>" \
  --context "fixed: <brief resolution> | escalated: <reason>"