ops-fires — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited ops-fires (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Before executing, load available context:
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/daemon-health.jsoninfra-monitor service status — if not running, pre-gathered infra data may be staleaction_needed is not null → surface it immediately as a potential fire$AWS_ACCESS_KEY_ID / $AWS_PROFILE env varsdoppler secrets get AWS_ACCESS_KEY_ID --plain (if doppler configured in prefs)password_manager_config.query_cmd from preferences$SENTRY_AUTH_TOKEN → Doppler SENTRY_AUTH_TOKEN → vault${CLAUDE_PLUGIN_DATA_DIR}/preferences.json for secrets_manager config to know which vault to query.| Command | Usage | Output |
|---|---|---|
aws ecs list-services --cluster <name> --query 'serviceArns' | ECS services | ARN list |
aws ecs describe-services --cluster <name> --services <arn> --query 'services[0].{status:status,running:runningCount,desired:desiredCount}' | Service health | JSON |
aws logs tail /ecs/<service> --since 1h --format short | ECS logs | Log lines (use with Monitor for live) |
| Command | Usage | Output |
|---|---|---|
gh run list --limit 20 --json status,conclusion,name,headBranch,createdAt | Recent CI runs | JSON array |
gh run view <id> --repo <repo> --log-failed | Failed CI logs | Log output |
| Command | Usage | Output |
|---|---|---|
sentry-cli issues list --project <slug> --status unresolved | Unresolved issues | Issue list |
curl -H "Authorization: Bearer $SENTRY_AUTH_TOKEN" "https://sentry.io/api/0/projects/<org>/<proj>/issues/?query=is:unresolved" | API fallback when MCP unavailable | JSON array |
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when dispatching multiple fix agents simultaneously. This enables:
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.
${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[],"error":"infra check failed"}'${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'Analyze the pre-gathered data — including external projects. Then run parallel checks:
gh run list --limit 20 --json status,conclusion,name,headBranch,createdAt 2>/dev/nullauth_expired as HIGH (credential rotation needed), unreachable/degraded as MEDIUM, not_configured as LOW.Classify each issue by severity:
| Severity | Criteria |
|---|---|
| CRITICAL | Service down, DB unreachable, auth broken |
| HIGH | Elevated error rate, deploy stuck, CI main broken |
| MEDIUM | Non-critical service degraded, flaky tests |
| LOW | Warning-level, non-urgent |
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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]
──────────────────────────────────────────────────────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.
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:
Use the agents/infra-monitor.md agent definition for infra issues.
If $ARGUMENTS contains a project alias, filter to that project's services only.
Use Monitor to stream ECS task logs or GitHub Actions runs when investigating fires:
Monitor(command: "aws logs tail /ecs/<service> --follow --since 5m")Use TaskCreate for each active fire. Update with TaskUpdate as fires are investigated/fixed/escalated.
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.
Use WebSearch to find if the error pattern matches a known AWS/infrastructure issue (e.g., "ECS task stopped CannotPullContainerError" → known ECR throttling).
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.